Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection

The spatiotemporal context affects corporate behavior because any corporate activity is carried out in a specific time and space. Based on an examination on the research and development (R&D) expenditures of 284 listed biopharmaceutical companies in China, this study finds that the innovation space of the biopharmaceutical industry presents a spatial “North–South” pattern. The spatial gravity center

The primary goal of this article is to identify the research fronts on the application of data-driven methods in business and economics. For this purpose, the research literature of the business and economic sciences Subject Categories from the Web of Science is mapped using BibExcel and VOSviewer. Since the assignment to subject categories is done at the journal level and since a journal is often

Peer review is one of the most important processes of scientific evaluation. This paper proposes a consistency index to measure the performances of scholar journal reviewers on recognizing papers with higher scientific influences with respect to citations. The index is initially designed based on three consistencies, i.e., expert consistency, editor consistency and academic community consistency, to

Evaluating the impact of papers, researchers and venues objectively is of great significance to academia and beyond. This may help researchers, research organizations, and government agencies in various ways, such as helping researchers find valuable papers and authoritative venues and helping research organizations identify good researchers. A few studies find that rather than treating citations equally

Citation counts have long been considered as the primary bibliographic indicator for evaluating the quality of research—a practice premised on the assumption that citation count is reflective of the impact of a scientific publication. However, identifying several limitations in the use of citation counts alone, scholars have advanced the need for multifaceted quality evaluation methods. In this study

Letters to the editor are often critiques of published research papers. Journal editors acknowledge the importance of letters in post-publication review, yet the themes of letters remain unclear. Incidentally, letters can also be used to examine “authorship inflation” in academic publishing, as confounders (e.g., research complexity) are naturally controlled by the letter model. Thus, the aim of Study

Social media platforms have had an enormous impact on the dissemination of scientific work and have fared well in covering scientific papers. However, little is known about the general dissemination process from academia to social media and how various factors affect the dissemination of scientific papers at different stages. In this paper, we proposed a two-staged dissemination process to profile

Text representation is the preliminary work for in-depth analysis and mining of information in scientific papers. It directly affects the effects of downstream tasks such as, scientific papers classification, clustering, and similarity calculation. However, recent researches mainly considered citation network and partial structural information, which is insufficient when representing scientific papers

Based on the perspective of social information processing theory and cultural dimension theory, this paper takes the innovative teams of several universities represented by Harbin Institute of Technology as the research objects, and uses a multilevel linear model to study the effect of knowledge hiding on knowledge innovative behavior (KIB) of innovative team members and the dual moderating role of

In this study, we defined a Twitter network as an information channel that includes information sources containing embedded messages. We conducted stage-based comparative analyses of Twitter networks during three periods: the beginning of the COVID-19 epidemic, the period when the epidemic was becoming a global phenomenon, and the beginning of the pandemic. We also analyzed the characteristics of scientific

It has been proposed that main path analysis can be used to identify technological trajectories in patent-citation networks. In this paper, the method is applied to a network composed of one million US patents and eight million citations in order to trace the backbone of the technological trajectory of the semiconductor manufacturing industry. An in depth discussion of the method is presented, focusing

In recent months the COVID-19 (also known as SARS-CoV-2 and Coronavirus) pandemic has spread throughout the world. In parallel, extensive scholarly research regarding various aspects of the pandemic has been published. In this work, we analyse the changes in biomedical publishing patterns due to the pandemic. We study the changes in the volume of publications in both peer reviewed journals and preprint

Bibliometrics, and more generally all metric indicators, are increasingly used as research tools as well as for managing and evaluating research activities. This study analyzes the characteristics of publications that use bibliometrics as a research method. We identified all relevant records indexed in the Web of Science-Core Collection (1965–2019), generating a coauthorship network and performing

The publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and knowledge exchange. Researchers in many fields, such as computer science, often need to search for events to publish their research results, establish connections for collaborations with

In addition to academic impact, researchers are increasingly concerned with understanding and demonstrating the practical impact of research outside academia. Several frameworks capturing key impact types have been developed based on project experiences, expert opinions, and surveys. This empirical study seeks to contribute to this development by identifying impact types documented in 6,882 case studies

Scientific software is a fundamental player in modern science, participating in all stages of scientific knowledge production. Software occasionally supports the development of trivial tasks, while at other instances it determines procedures, methods, protocols, results, or conclusions related with the scientific work. The growing relevance of scientific software as a research product with value of

Scientific research has been facing the problem of increase in size and complexity. Hence, the utilization of scientometric methodology for management of science has been expected because of needs for strategic and organizational management of basic and academic scientific research. Present study focuses on collaboration and knowledge structures in an interdisciplinary research project and proposes

This study proposes a methodological approach to investigate cross-country creativity/knowledge flows by analyzing patent citation networks, taking the aircraft, aviation and cosmonautics (AAC) industry as a case study. It aims at shedding some light on the following research questions: (a) how cross-country creative/learning flows can be investigated; (b) have countries of current patent owners benefited

The spread of COVID-19 has created a fundamental need for coordinated mechanisms responding to outbreaks in different sectors. One of the main sectors relates to information supply and demand in the middle of this pandemic in the digital environment. It could be called an infodemiology. It is known as a promising approach to solving the challenge in the present age. At this level, the purpose of this

Research equipment is as essential for researchers as modes of transportation are for travelers. Thus, to ascertain the extent to which research equipment affects research performance, this study employed project and performance information to examine the relationships between the quality and quantity of papers and patents and the presence and prices of research equipment for research and development

The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network

In this study we investigated whether open access could assist the broader dissemination of scientific research in Climate Action (Sustainable Development Goal 13) via news outlets. We did this by comparing (i) the share of open and non-open access documents in different Climate Action topics, and their news counts, and (ii) the mean of news counts for open access and non-open access documents. The

Scientific publications and patents are usually viewed as respective proxies of scientific research and technical development. There is considerable effort spent towards establishing topic linkages between science and technology with the lexical- or topic-based approaches. However, due to the heterogeneity between scholarly articles and patents in terms of purpose, statement, and quality, the performance

An abundance of publications on medical professionalism have been published in recent years. Our study aimed to analyze the external characteristics of publications on professionalism using bibliometrics, to describe its current developments and trends, and to explore professionalism research hotspots using co-word analysis. We retrieved literature on professionalism published from 2010 to 2019 from

Research is a key element of any profession and an analysis of published research enables professional communities to understand the dynamics of growth in a profession and its literature. Bibliometrics is used to carry out the analysis of Library and Information Science (LIS) research articles published by Pakistani authors because it is an important method for measuring impact of published research

This paper develops a macro examination framework for simultaneously testing the incentive effect and uncertainty effect under R&D-based growth theory. A stochastic frontier innovation model with heterogeneity has been established and estimated, in which the exogenous cites’ demand changes measured by market potential increases induced by China’s high-speed rails are introduced into both inefficiency

In this paper, we analyze the structure of the article citation network of a particular subject obtained from the Web of Science (WoS) database. In specific, we modify a model proposed in Caldarelli et al. (Phys Rev Lett 89(25):258702, 2002) and develop a generative model for article citation networks in which an article receives citations based on a newly defined property called “importance” introduced

Gender equality is one of the primary dimensions of responsible research and innovation. Based on bibliometric and survey data of nanotechnology researchers in Canada, this paper analyzes the reward system of science in terms of gender and gender-related institutional cultures. This study reveals that the scientific culture of nanotechnology was perceived as more masculine by women than by men. The

Following the outbreak of SARS-CoV-2 disease, within less than 8 months, the 50 years-old scholarly literature of coronaviruses grew to nearly three times larger than its size prior to 2020. Here, temporal evolution of the coronavirus literature over the last 30 years (N = 43,769) is analysed along with its subdomain of SARS-CoV-2 articles (N = 27,460) and the subdomain of reviews and meta-analytic

This study describes a method for identifying hijacked journal domains based on an analysis of the archives of clone journals. This method is based on the argument that fraudulent publishers recycle identical papers to create a fictitious archive for a hijacked journal. A Google Custom Search API is used to search the details of papers published in hijacked journals (title/authors/affiliation) and

This article focuses on the cross-country distribution of mining patent families during the period of 1970 − 2018. Alternatives measures of concentration indicate that only a few countries account for most mining inventions (e.g., China, Germany, Japan, the United States), and that the composition of such countries has remained relatively stable over time. This is also true for patent families of all

A correction to this paper has been published: https://doi.org/10.1007/s11192-021-04070-2

Comprehensive, in-depth and accurate analyses of patent technology topic evolutions become increasingly significant since the analytical results can offer related personnel the scientific support to explore or trace back to the origin and the development of the technology. However, existing methods of topic evolutions do not facilitate better understanding of how a technology topic has evolved. This

Over the two last decades, coronaviruses have affected human life in different ways, especially in terms of health and economy. Due to the profound effects of novel coronaviruses, growing tides of research are emerging in various research fields. This paper employs a co-word analysis approach to map the intellectual structure of the coronavirus literature for a better understanding of how coronavirus

A correction to this paper has been published: https://doi.org/10.1007/s11192-021-04065-z

In many countries around the world that use authorship and academic papers for career advancement and recognition, the accurate identity of participating authors is vital. ORCID (Open Researcher and Contributor ID), an author disambiguation tool that was created in 2012, is being vociferously implemented across a wide swathe of journals, including by many leading publishers. In some countries, authors

Academic administrators and funding agencies must predict the publication productivity of research groups and individuals to assess authors’ abilities. However, such prediction remains an elusive task due to the randomness of individual research and the diversity of authors’ productivity patterns. We applied two kinds of approaches to this prediction task: deep neural network learning and model-based

Unlike most bibliometric studies focusing on publications, taking Big Data research as a case study, we introduce a novel bibliometric approach to unfold the status of a given scientific community from an individual-level perspective. We study the academic age, production, and research focus of the community of authors active in Big Data research. Artificial Intelligence (AI) is selected as a reference

Research productivity metrics designed for international and national comparison of institutions may be uncritically adopted for research assessments, especially within young universities with short research traditions. It is argued that such measures can be misleading when assessing small groups of researchers such as within a department, and that they may provide limited usefulness for leaders at

The European Research Council (ERC) is one of the leading sources of research funding worldwide. This article analyses the papers published by its grantees. The primary aim was to determine the access policies of the journals chosen by researchers benefiting from public funding to disseminate their findings, based on an analysis of 44,481 papers published from 2007 to 2015. The study showed that 85%

Predicting the impact of academic papers can help scholars quickly identify the high-quality papers in the field. How to develop efficient predictive model for evaluating potential papers has attracted increasing attention in academia. Many studies have shown that early citations contribute to improving the performance of predicting the long-term impact of a paper. Besides early citations, some bibliometric

The realization that mentoring during doctoral science training is provided by a variety of actors beyond the traditional doctoral adviser/mentor led us to empirically verify, using confirmatory factor analysis and normal error regression analysis, whether developmental networks (DNs) assist in enriching the doctoral training experiences of those who aspire to be scientists (i.e., doctoral science

Monetary rewards granted on a per-publication basis to individual authors are an important policy instrument to stimulate scientific research. An inconsistent feature of many article reward schemes is that they use journal-level citation metrics. In this paper we assess the actual article-level citation impact of about 10,000 articles whose authors received financial rewards within the Romanian Program

Breakthrough research in scientific fields usually comes as a manifestation of major development and advancement. These advances build to an epiphany where new ways of thinking about a problem become possible. Identifying breakthrough research can be useful for cultivating and funding further innovation. This article presents a new method for identifying scientific breakthroughs from research papers

This study aims to profile the scientific retractions published in journals indexed in the Web of Science database from 2010 to 2019, from researchers at the top 20 World Class Universities according to the Times Higher Education global ranking of 2020. Descriptive statistics, Pearson's correlation coefficient, and simple linear regression were used to analyze the data. Of the 330 analyzed retractions

This paper analyses three centuries of developing German-language philosophy journals, from the first journals published in 1665 to those from the first decade of post-WWII recovery. Relying upon two bibliographies of philosophical journals collected in the 1970s, one by Joachim Kirchner and one by Wolfram Hogrebe, Rudolf Kamp, and Gert König, we attained a dataset of 607 journals.To analyse the population

Our main objective is to create a framework to analyze signals sent from academic journals. The signals chosen for the framework were: journal’ scopes; and the latest published papers. We apply the framework to the field of accounting with the main focus of categorizing the journal scopes and the latest published articles into research topics by using text mining techniques. We analyze the published

This study investigates the development of open access (OA) to journal articles from authors affiliated with German universities and non-university research institutions in the period 2010–2018. Beyond determining the overall share of openly available articles, a systematic classification of distinct categories of OA publishing allowed us to identify different patterns of adoption of OA. Taking into

The order in which authors of a scientific paper place their names on the byline follows in many research fields some implicit rules. In most fields, the first author is considered to be the one who contributed most to the intellectual effort described in the paper. Additionally, the last author is normally the most senior researcher and in many situations the contribution to the paper is more indirect

As the number of academic articles rapidly increases, a reasonable evaluation method for the articles is highly required in the current academic research. Meanwhile, a faster access to the high-quality academic articles for the researchers is also of critical significance. This paper first improves the AVG model and presents a new Nonlinear Citation-Forecasting Combined Model (NCFCM) based on a neural

Survey alert letters improve response rates and assure potential respondents that the research is legitimate and of high quality. Pre-notification by mail increases response rates for web surveys because it represents a second mode of communication and contributes to increases in respondent trust and study legitimacy. Due to work-from-home orders in response to COVID-19, postal alert letters are unlikely

In this paper we develop a methodology to assess the scientific wealth of territories at field level. Our methodology uses a bibliometric approach based on the observation of academic research performance and overall scientific production in each territory. We apply it to assess disparities in the Italian territories in the medical specialties at the front line of the COVID-19 emergency. Italy has

A correction to this paper has been published: https://doi.org/10.1007/s11192-021-04041-7

This note is a response to a letter entitled „National Propensities? “ by David Mills and Kirsten Bell that comments on our article on “Predatory publishing in Scopus: evidence on cross‑country differences”. We welcome their interest in our work but we do not find most of their opinions to be productive. In this response, we answer their criticism, clarify some methodological issues and argue that

Although geographical distance has become less relevant in co–authorship for monodisciplinary fields such as economics, mathematics, and physics, little is known about international collaboration in multidisciplinary fields such as higher education. This paper studies collaboration patterns in higher education research using the Scopus database with the application of the gravity model. The results

Firms competing over technologies are often forced to collaborate while pursuing their risky research and development (R&D); this is called “technological coopetition.” Such coopetition creates complex interfirm technological relationships, which vary according to the technology field wherein the competition and cooperation are occurring. This study proposes a framework by which to map and identify

The ranking of academic journals and the considerable impact of journal lists have been increasingly criticized, especially in management research. To assess the effectiveness of peer review selection versus bibliometric assessment, a benchmark of the best management and economic journals is performed. Based on multiple indicators, the Financial Times FT50 list is compared to the 100 best ranked journals

A correction to this paper has been published: https://doi.org/10.1007/s11192-021-04042-6

The long and established roots of biographical research have been well documented, over the last decades, in a rich body of reflections about the main trends, traditions and contexts of production of the field within social sciences, including the identification of milestones and turns. Most of these notable analyses mapping the field’s key approaches and methods tend to be exclusively qualitatively