Journal impact factors and diachronic journal impact factors are currently calculated with the data along the rows and columns of the publication-citation matrix of a journal, respectively. The average publication-citation matrix can be obtained by dividing the elements of the publication-citation matrix by the number of papers published by a journal in a given year. Along the rows and columns of the publication-citation matrix, we found that journals in the same subject category can have quite different citation patterns. In particular, some journals have a prolonged impact. To effectively reflect the impact of individual journals with different citation patterns on the scientific community, we propose an integral synchronic journal impact factor that combines the features of the existing journal impact factors and diachronic journal impact factors. This approach utilizes the data along the rows of the publication-citation matrix and the average citations among the papers published in individual years. The length of the citation window can be flexibly set to balance accuracy and timeliness based on citations. Modifications of the proposed indicator considering normalization, the importance of citation sources and a geometric averaging mechanism are provided.

中文翻译：

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沿着出版物引用矩阵的列和行调查期刊影响

期刊影响因子和历时期刊影响因子目前分别使用期刊出版物引用矩阵的行和列数据计算。平均出版物引用矩阵可以通过将出版物引用矩阵的元素除以给定年份期刊发表的论文数量来获得。沿着出版物引用矩阵的行和列，我们发现同一学科类别的期刊可以有完全不同的引用模式。尤其是一些期刊影响时间较长。为有效反映不同引用模式的个别期刊对科学界的影响，我们提出了一个完整的同步期刊影响因子，它结合了现有期刊影响因子和历时期刊影响因子的特点。这种方法利用出版物-引用矩阵行中的数据和个别年份发表的论文的平均引用次数。可以灵活设置引用窗口的长度，根据引用来平衡准确性和及时性。提供了考虑归一化、引文来源的重要性和几何平均机制的建议指标的修改。