Focusing specifically on physics periodicals, I show that the journal Impact Factor is not correlated with Hirsch's $h$-index. This implies that the Impact Factor is not a good measure of research quality or influence because the $h$-index is a reflection of peer review, and thus a strong indicator of research quality. The impact gap between multidisciplinary journals and physics-only journals is significantly reduced when $h$ is used instead of the Impact Factor. Additionally, the impact of journals specializing in review articles is inherently deflated using $h$ because of the limited number of annual publications in such periodicals. Finally, a reordering of the top ranking journals occurs with $h$ when only the physics articles of multidisciplinary journals are considered, falling more in line with the average physicist's interpretation of a journal's prestige.
Community detection is a significant and challenging task in network science. Nowadays, plenty of attention has been paid on local methods for community detection. Greedy expanding is a popular and efficient class of local algorithms, which typically starts from some selected central nodes and expands those nodes to obtain provisional communities by optimizing a certain quality function. In this paper, we propose a novel index, called local superiority index (LSI), to identify central nodes. In the process of expansion, we apply the fitness function to estimate the quality of provisional commu…
Modern management of research is increasingly based on quantitative bibliometric indices. Nowadays, the h-index is a major measure of research output that has supplanted all other citation-based indices. In this context, indicators that complement the h-index by evaluating different facets of research achievement are compelling. As an additional bibliometric source that can be easily extracted from available databases, we propose to use the number of distinct journals Nj in which an individual's papers were published. We show that Nj is independent of citation counts, and argue that it is a re…
随着绝大多数的科学论文现在可以在网上，本文介绍了网络是如何让物理学家和信息提供商更准确地衡量这些论文及其作者的影响。提供了引文分析的历史背景、影响因子、新的引文数据源（例如，Google Scholar、Scopus、NASA的Astrophysics Data System Abstract Service、MathSciNet、ScienceDirect、ScienceScholar、Scitation/SPIN和SPIRES-HEP），以及h-index、g-index和a-index。
Redlining is the discriminatory practice whereby institutions avoided investment in certain neighborhoods due to their demographics. Here we explore the lasting impacts of redlining on the spread of COVID-19 in New York City (NYC). Using data available through the Home Mortgage Disclosure Act, we construct a redlining index for each NYC census tract via a multi-level logistical model. We compare this redlining index with the COVID-19 statistics for each NYC Zip Code Tabulation Area. Accurate mappings of the pandemic would aid the identification of the most vulnerable areas and permit the most …
A researcher collaborating with many groups will normally have more papers (and thus higher citations and $h$-index) than a researcher spending all his/her time working alone or in a small group. While analyzing an author's research merit, it is therefore not enough to consider only the collective impact of the published papers, it is also necessary to quantify his/her share in the impact. For this quantification, here I propose the $I$-index which is defined as an author's percentage share in the total citations that his/her papers have attracted. It is argued that this $I$-index does not dir…
Utilizing the Hirsch index h and some of its variants for an exploratory factor analysis we discuss whether one of the most important Hirsch-type indices, namely the g-index comprises information about not only the size of the productive core but also the impact of the papers in the core. We also study the effect of logarithmic and square-root transformation of the data utilized in the factor analysis. To demonstrate our approach we use a real data example analysing the citation records of 26 physicists compiled from the Web of Science.
The characteristics of the $h$-index in the field of condensed matter physics are studied using high-quality data from ResearcherID. The results are examined in terms of theoretical descriptions of the $h$-index' overall dependence on a researcher's total number of published papers, and total number of citations. In particular, the models by Hirsch, Egghe and Rousseau, as well as by Glänzel and Schubert are examined. Special emphasis is placed on the deviations from such statistical descriptions, and it is argued that the deviation of a particular researcher's $h$ value from the Egghe-Rouseau …
What do we really mean by a "good" scientific journal? Do we care more about the short-time impact of our papers, or about the chance that they will still be read and cited on the long run? Here I show that, by regarding a journal as a "virtual scientist" that can be attributed a time-dependent Hirsch h-index, we can introduce a parameter that, arguably, better captures the "persistency" of a scientific publication. Curiously, however, this parameter seems to depend above all on the "thickness" of a journal.
