Among scientists who study scientific production, the relationship between the quantity of a scientist’s production and the quality of their work has long been a topic of empirical research and theoretical debate. One principal theoretical perspective on the quantity–quality relationship has been the equal odds baseline, which posits that a scientist’s number of high-quality products increases linearly

There are many factors that affect the probability of being uncited during the first years after publication. In this study, we analyze three of these factors for journals, conference proceedings and book series: the field (in 316 subject categories of the Scopus database), the access modality (open access vs. paywalled), and the visibility of the source (through the percentile of the average impact

This paper proposes keyword-citation-keyword (KCK) network to analyze the knowledge structure of a discipline. Different from traditional co-word network analysis, KCK network highlights the importance of keywords assigned in different articles, as well as the semantic relationship between keywords in various articles. In this study, we select computer science domain as an example to illustrate the

Studies around public–private partnerships (PPPs) have shaped a complex and colorful research field. A series of review studies have been performed to explore the knowledge base of this field. Despite their significant contributions, bibliometric research on the PPPs literature is still needed to capture more comprehensive, diverse and detailed information in this area from a holistic perspective,

Changes in patterns of collaboration between Russian universities after the commencement of the Russian university excellence initiative (Project 5-100) are studied in this paper. While this project aimed to make leading Russian universities more globally competitive and improve their research productivity, it also happened to increase their cooperation. An analysis of affiliations and the co-authorship

This study investigates how the alliance partners’ ego-network advantages, measured by the betweenness centrality, clustering coefficient and degree, affect focal firms’ ego-network advantages, innovation performance and the alliance stability. Under the exploitative innovation paradigm, alliance partners holding greater ego-network advantages would significantly improve focal firms’ ego-network advantages;

The issue of self-citation has received much attention in academia. Widely used and accessible tools such as Google Scholar do not provide information about self-citations. Therefore, a simple and practical back-of-the-envelope test for identifying researchers with strategic self-citations is proposed without access to self-citation information. It is shown that the h-index squared divided by the number

In the original publication of the article, the author’s name “Shai Shemesh” was missed. The complete author group is given in this Correction.

Research in the Social Sciences and Humanities is published in a variety of formats and types of documents. Local journals are relevant for these fields, particularly in non-English-speaking countries, but coverage of large bibliographic databases is still limited, leading to a large percentage of non-source items. This is an acknowledged challenge for Performance-based Research Funding Systems and

Although institutional affiliation is not mandatory in scholarly publishing, a new trend of multiple and simultaneous affiliations, which I will call “octopus affiliations” or “octaffiliations” in short, is increasingly noticeable as a distorted consequence of academic ranking and evaluation systems. Institutions offer financial and/or technical supports to authors whose contributions are, in turn

Research on the determinants of scholarly productivity is flourishing, driven both by long-standing curiosity about its wide variation, and by recent concern over race and gender inequalities. Beyond standard structural and demographic determinants of research output, some studies point to the role of individual psychology. We contribute to scholarship on personality and productivity by showing not

China has greatly increased the number of published works indexed in the Web of Science since 1980. This corpus of scholarship allows analysis of the creativity or innovation of that contribution, where creativity is indicated by deep conventionality and high novelty. A test is applied to analyze reference pairs in articles to search for unexpected referencing combinations at the journal–journal level

The COVID-19 pandemic is creating a global health emergency. Mapping this health emergency in scientific publications demands multiple approaches to obtain a picture as complete as possible. To progress in the knowledge of this pandemic and to control its effects, international collaborations between researchers are essentials, as well as having open and immediate access to scientific publications

The letter to the Editor refers to the controversial research evaluation practice in Ukraine and which is based on counting the number of publications in journals included in selected citation databases, for instance Scopus. I have selected fifty journals in which Ukrainian scholars have written the largest number of articles and reviews for 2015–2019 (Scopus data). I found that 78% of these titles

In this paper, the impact of the Bologna reform is analyzed based on differences in scientific publication performance among the Ph.D. graduates that enrolled into doctoral study programs before the implementation of the Bologna reform in Slovenia (the pre-Bologna Ph.D. graduates) and those that enrolled after (the post-Bologna Ph.D. graduates). The transition between programs was not immediate; in

This is a correction to the letter “Response to the comments of Turki et al. on “The journals that publish Nobel Prize research”” [1], which failed to provide the full reference to the Turki et al. letter “Facts to consider when analyzing the references of Nobel Prize scientific background” [2]. The reason for this was that the DOI was not available at the time of submission of the said letter.

Self-citation is attracting wide attention in citation analysis research and research evaluation practice. However, the academic community’s views on self-citation are not uniform. If the number of self-citations should be calculated, it is critical to calculate it accurately and unambiguously. However, based on a case study of thirty papers published during 2014 and 2020 by the corresponding author

The present study focuses on the research communities that have been working on various aspects of the access to drinking water in Mexico City. We analyze their academic production published in mainstream journals during the 2004–2018 period. We implemented a bibliometric analysis of the co-authorship network on this subject in order to identify these research communities. We found that only 33% of

Aerosol water is a master component of atmospheric aerosols and a medium that enables all aqueous-phase reactions occurring in the atmosphere. This integral chemical compound of suspended aerosol particles (PM) has become one of the hottest issues in recent years. To look for scientific productivity in the area of PM-bound water research a bibliometric analysis was performed. Most actual literature

This paper introduces the use of co-nomination as a method to map research fields by directly accessing their knowledge networks organised around exchange relationships of intellectual influence. Co-nomination is a reputation-based approach combining snowball sampling and social network analysis. It compliments established bibliometric mapping methods by addressing some of their typical shortcomings

The paper investigates the reference corpus of a climate change contrarian report. We categorized the journal abstracts according to the endorsement positions on anthropogenic climate change. These results were contrasted by an in-text citation analysis. We focused here on the role of the papers included by the report editors concerning the mainstream claims around climate change. Our results showed

Sufficient data presence is one of the key preconditions for applying metrics in practice. Based on both Altmetric.com data and Mendeley data collected up to 2019, this paper presents a state-of-the-art analysis of the presence of 12 kinds of altmetric events for nearly 12.3 million Web of Science publications published between 2012 and 2018. Results show that even though an upward trend of data presence

Due to its quantitative nature, bibliometrics is becoming increasingly popular among policy makers for academic hiring and career promotions. In this article, we quantitatively assess the impact that the granularity level in the classification of scientific areas would entail on research evaluation based on bibliometric indicators. We use as a case study the Italian national habilitation system (ASN)

Although female involvement in science and technology has been growing over recent years, it is still low. Latin America is no exception. Even though the Latin American region has achieved significant accomplishments in terms of gender parity, women’s participation in patenting activities remains small compared to that of men. The aim of this study is to explain the rate of female participation in

As academic social networking sites become important platforms for researchers to carry out research activities, more and more corporation researchers begin to use them. This paper explores the academic interactive behaviors of corporation users on academic social networking sites based on their social networks formed by follower–followee relationships. We take ResearchGate (RG), one of the largest

Policy document mention is considered to indicate the significance and societal impact of scientific product. However, the accuracy of policy document altmetrics data needs to be evaluated to fully understand its strength and limitation. An in-depth coding analysis was conducted on sample policy documents records of Altmetric.com database. The sample consists of 2079 records from all 79 distinct policy

In this paper, we analyze the educational paths and networks of core staff members (n = 3325) of the world’s top 100 sociology departments. Results show that a significant overrepresentation of central countries and considerable gender bias can be found throughout sociology departments with strong male dominance in high positions. By using an improved word-systemic model for the interpretation of our

Keywords serving a dense summary of documents, are widely used in search engine and library to do information retrieval, content classification, speech recognition and automated text summarization. However, massive documents are lack of keywords, and the rapid generation of the large amount of content every day makes the human annotation really time-consuming. Lots of researches show that network-based

The assignment of reviewers to papers is one of the most important and challenging tasks in organizing scientific conferences and a peer review process in general. It is a typical example of an optimization task where limited resources (reviewers) should be assigned to a number of consumers (papers), so that every paper should be evaluated by highly competent, in its subject domain, reviewers while

At the peer review stage, a natural metric to measure the performance of the author is the quality of the revised manuscript, while a natural metric to measure the performance of the reviewer is the mismatch cost between the manuscript quality and the journal standard. This mismatch refers to incorrectly or unsuitably matching the manuscript quality and the journal standard. The matching between a

We propose to analyze the level of recommendation and spreading in the sharing of scientific papers on Twitter to understand the interactions of communities around papers and to develop the “community of attention network” (CAN). In this paper, a pilot case study was conducted for the paper ‘Pharmacological Treatment of Obesity’ authored by Mancini and Halpern (Arquivos Brasileiros de Endocrinologia

“Big” digital behavioral data increasingly allows large-scale and high-resolution analyses of the behavior and performance of persons or aggregated identities in whole fields. Often the desired system of study is only a subset of a larger database. The task of drawing a field boundary is complicated because socio-cultural systems are highly overlapping. Here, I propose a sociologically enhanced information

Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Scopus, we detected research communities among Italian sociologists. We found that Italian sociologists

The effects of Open Access (OA) upon journal performance are investigated. The key research question holds: How does the citation impact and publication output of journals switching (“flipping”) from non-OA to Gold-OA develop after their switch to Gold-OA? A review is given of the literature, with an emphasis on studies dealing with flipping journals. Two study sets with 119 and 100 flipping journals

The ever-increasing number of published scientific articles has prompted the need for automated, data-driven approaches to summarizing the content of scientific articles. The Computational Linguistics Scientific Document Summarization Shared Task (CL-SciSumm 2019) has recently fostered the study and development of new text mining and machine learning solutions to the summarization problem customized

Universities compete to improve their ranking in the different ranking systems and expend resources toward this goal. Higher rankings attract elite students, research funds, government and public support, among other benefits. However, perhaps the most influential ranking system in U.S. contexts—the U.S. News & World Report Best Colleges rankings—has largely remained unchanged for decades, leading

This paper presents an analysis of the anti-vaccination movement’s referencing of research articles on the topic of vaccination in the social media network Twitter. Drawing on the concept of bibliographic coupling, the paper demonstrates how Twitter users can be coupled based on articles mentioned on Twitter. The sample applied consists of 113 open access journal articles. The combination of tweeter

This article aims to map scientific production and cooperation networks on the theme of certified coffee in the Scopus and Web of Science databases for the period from 2009 to 2019. To this end, bibliometric analysis tools are used—collaborative networks, co-citation, co-authorship and bibliographic coupling—on a set of 209 articles from Scopus and 306 articles from the Web of Science database. The

The existence of gender disparities in academia is well documented. Many explanations have been proposed and productivity is one of the most used variables to explain a possible correlation between gender and differences in academic rank or leadership positions. The literature on the existence of a productivity gender gap is inconclusive which may due to the variety of study designs. This article presents

The paper presents the results achieved in the development of education and science in the Western Balkans (WB) countries, through a comparative analysis of the PISA test results, the universities ranking on the ARWU list, and the citation of researchers (educating students in these countries) in particular fields of science. An analysis of the results achieved by scientific workers from the WB countries

In this era of interdisciplinary science, many scientific achievements, such as artificial intelligence (AI), have brought dramatic revolutions to human society. The increasing availability of digital data on scholarly outputs offers unprecedented opportunities to explore science of science (SciSci). Despite many significant works have been done on SciSci, substantial disciplinary differences in different

As of the middle of April 2020, the unprecedented COVID-19 pandemic has claimed more than 137,000 lives (https://coronavirus.jhu.edu/map.html). Because of its extremely fast spreading, the attention of the global scientific community is now focusing on slowing down, containing and finally stopping the spread of this disease. This requires the concerted action of researchers and practitioners of many

We examine the role of count conservation when derived network matrices are obtained from linked network matrices using an outer product decomposition. It is seen that a full counting operation conserves the count of pathways between nodal variables while a fractional counting operation conserves the count of the nodal variable. We use the cases of co-referencing (bibliographic coupling) and co-citation

Word embedding, which represents individual words with semantically fixed-length vectors, has made it possible to successfully apply deep learning to natural language processing tasks such as semantic role-modeling, question answering, and machine translation. As math text consists of natural text, as well as math expressions that similarly exhibit linear correlation and contextual characteristics

Golden Open-access (GOA) journals make research more accessible and therefore more citable; however, the publication fees associated with GOA journals can be costly and therefore not a viable option for many researchers seeking high-impact publication outlets. In this study, metadata was collected from 174 open-access, non-human biological science journals and analyzed to determine relationships between

The existing literature on innovation ecosystem overlooks the differences between knowledge ecosystems and business ecosystems, and mostly focuses on a single-layer analysis of the ecosystem. Also, ecosystem mapping studies involve either whole-network analysis at the macro-level or ego-network analysis at the micro-level, while few studies have investigated network community analysis at the meso-level

Higher education institutions (HEIs) have an instrumental role in the move towards Open Access (OA) by shaping the national strategies, policies, and agendas. This study sets out to explore the role of HEIs in the United Arab Emirates (UAE) OA uptake and reflect on the ongoing international initiatives pushing for universal OA to research. The study is based on an online survey targeted at UAE higher

We perform a bibliometric analysis of the research production and impact of Mexican scholars involved in the area of metric studies of science and technology in the period 1971–2018. In order to get a strong data sample, we used a bibliometric search that includes all databases that register mainstream, local and regional journals. Our search query included 46 different features that identify properly

This paper defines the ‘miraculous year’ as the most productive year in academics’ scientific careers. It tests the hypothesis that annual productivity is unevenly distributed with a Lotka-like distribution at both individual and group levels. To gain generalizability, we model distributions of annual publication productivity in three independent mini studies. The studies include Israeli star scientists

In traditional research, the application of quantitative measurement on the value and influence of uncited papers is not feasible owing to the lack of data. The rapid advancement of social media has offered a new path for the dissemination of scientific papers and gain influence. In this thesis, the uncited papers published during 2006–2014 with a 5-year window on PLOS ONE journals from the Web of

This study investigates whether negative citations in articles and comments posted on post-publication peer review platforms are both equally contributing to the correction of science. These 2 types of written evidence of disputes are compared by analyzing their occurrence in relation to articles that have already been retracted or corrected. We identified retracted or corrected articles in a corpus

The original publication of the article contained an error in Table 6, in header column. The correct table has been given below.

The educational quality of research master’s degree can be in part reflected by the examiner score of the thesis. This study focuses on finding positive predictors of this score with the aim of developing assessment and prediction methods for the educational quality of postgraduates. This study is based on regression analysis of the characteristics extracted from publications and references involving

The co-occurrence analysis of medical subject heading (MeSH) terms in the bibliographic database is used in both bibliometrics and text mining fields. Because MeSH itself contains a hierarchical structure and MeSH descriptors represent different semantic types (i.e., disease, chemicals), the biclustering analysis of distinct semantic MeSH terms may be a novel approach for knowledge discovery. This

The phenomenon of scientific mobility, actively developing in recent decades, attracts increasing attention of researchers in view of its importance for the development of science, dissemination of scientific knowledge, making informed decisions in the management of science and training of qualified personnel. Based on an extensive analysis of the literature on the topic in the last 30 years with the

In this study, we attempted to fill a gap that literature has yet to investigate: the impact of global innovation network on industry performance. Based on 3D printing patent data, this paper builds a cooperative innovation network of 34 economies for six years. It represents the network characteristics of each economy through 204 network attribute indicators. The panel data model is used to study

Gene editing is an emerging technology that is promising for the prevention and treatment of human diseases. This paper reports an exploratory study of networks of authors of scientific research publications and of inventors involved in patents during the years 2000–2019 in the area of gene editing. We use patents to represent technological output and their non-patent references to represent scientific

The aim of this study is to propose a clustering-based approach based on patent information for the evaluation of candidate emerging technologies. The proposed approach uses patent analysis and clustering approaches in data mining. Patent analysis is a widely used method for the evaluation of candidate emerging technologies in the literature. The clustering algorithms used in this study are self-organizing

Automated literature reviews have the potential to accelerate knowledge synthesis and provide new insights. However, a lack of labeled ground-truth data has made it difficult to develop and evaluate these methods. We propose a framework that uses the reference lists from existing review papers as labeled data, which can then be used to train supervised classifiers, allowing for experimentation and

Informetrics with its frameworks and methods has long been playing a prominent role in the study of science–society communications. The aim of the present work is an exploratory study of this domain of research, via a scoping review based on enhanced bibliometric methods. The leading research questions concern the cognitive structure of the subject, its position in the broader context of science communication