40 research outputs found
Popular and/or Prestigious? Measures of Scholarly Esteem
Citation analysis does not generally take the quality of citations into
account: all citations are weighted equally irrespective of source. However, a
scholar may be highly cited but not highly regarded: popularity and prestige
are not identical measures of esteem. In this study we define popularity as the
number of times an author is cited and prestige as the number of times an
author is cited by highly cited papers. Information Retrieval (IR) is the test
field. We compare the 40 leading researchers in terms of their popularity and
prestige over time. Some authors are ranked high on prestige but not on
popularity, while others are ranked high on popularity but not on prestige. We
also relate measures of popularity and prestige to date of Ph.D. award, number
of key publications, organizational affiliation, receipt of prizes/honors, and
gender.Comment: 26 pages, 5 figure
Applying weighted PageRank to author citation networks
This paper aims to identify whether different weighted PageRank algorithms
can be applied to author citation networks to measure the popularity and
prestige of a scholar from a citation perspective. Information Retrieval (IR)
was selected as a test field and data from 1956-2008 were collected from Web of
Science (WOS). Weighted PageRank with citation and publication as weighted
vectors were calculated on author citation networks. The results indicate that
both popularity rank and prestige rank were highly correlated with the weighted
PageRank. Principal Component Analysis (PCA) was conducted to detect
relationships among these different measures. For capturing prize winners
within the IR field, prestige rank outperformed all the other measures.Comment: 19 pages, 4 figures, 5 table
Weighted citation: An indicator of an article's prestige
We propose using the technique of weighted citation to measure an article's
prestige. The technique allocates a different weight to each reference by
taking into account the impact of citing journals and citation time intervals.
Weighted citation captures prestige, whereas citation counts capture
popularity. We compare the value variances for popularity and prestige for
articles published in the Journal of the American Society for Information
Science and Technology from 1998 to 2007, and find that the majority have
comparable status.Comment: 17 pages, 6 figure
Understanding scientific collaboration from the perspective of collaborators and their network structures
Scientific collaboration is one of the key factors to trigger innovations. Coauthorship networks have been taken as representations of scholars’ collaboration for a long time. This study investigates how the authors’ attributes and the coauthorship network structures simultaneously influence the scientific collaboration among them. Exponential random graph models (ERGMs) are adopted in this research. We find that an author has a propensity to coauthor with the other scholar if they have different levels of productivity. We also find that the effect of network’s transitivity strongly influence authors’ collaboration. We demonstrate that taking the effects from both authors’ attributes and the network structures into consideration helps gain a comprehensive understanding of scientific collaboration
P-Rank: An indicator measuring prestige in heterogeneous scholarly networks
Ranking scientific productivity and prestige are often limited to homogeneous networks. These networks are unable to account for the multiple factors that constitute the scholarly communication and reward system. This study proposes a new informetric indicator, P-Rank, for measuring prestige in heterogeneous scholarly networks containing articles, authors, and journals. P-Rank differentiates the weight of each citation based on its citing papers, citing journals, and citing authors. Articles from 16 representative library and information science journals are selected as the dataset. Principle Component Analysis is conducted to examine the relationship between P-Rank and other bibliometric indicators. We also compare the correlation and rank variances between citation counts and P-Rank scores. This work provides a new approach to examining prestige in scholarly communication networks in a more comprehensive and nuanced way
Measuring academic influence: Not all citations are equal
The importance of a research article is routinely measured by counting how
many times it has been cited. However, treating all citations with equal weight
ignores the wide variety of functions that citations perform. We want to
automatically identify the subset of references in a bibliography that have a
central academic influence on the citing paper. For this purpose, we examine
the effectiveness of a variety of features for determining the academic
influence of a citation. By asking authors to identify the key references in
their own work, we created a data set in which citations were labeled according
to their academic influence. Using automatic feature selection with supervised
machine learning, we found a model for predicting academic influence that
achieves good performance on this data set using only four features. The best
features, among those we evaluated, were those based on the number of times a
reference is mentioned in the body of a citing paper. The performance of these
features inspired us to design an influence-primed h-index (the hip-index).
Unlike the conventional h-index, it weights citations by how many times a
reference is mentioned. According to our experiments, the hip-index is a better
indicator of researcher performance than the conventional h-index
Applying weighted PageRank to author citation networks
Abstract This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected as a test field and data from were collected from Web of Science (WOS). Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal Component Analysis (PCA) was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures
Audit Quality Review: An Analysis Projecting the Past, Present, and Future
Literature on audit quality remains plenteous, with researchers contemplating the area for 'forever and a day’. The present study proposes synthesising the existing literature on audit quality, discerning the prominent themes and providing future research avenues. This paper attempts to analyse and synthesise the dynamics of audit quality research by employing the diminuendos of systematic literature review with bibliometric and content analysis. Scopus database has been gleaned to systematically retrieve the literature on audit quality from 1981-2022. Analysing the 1101 relevant articles under review makes the USA the highest contributor. It is, however, enthralling to note that developing countries have also registered increased interest in the topic. Apart from the other documented findings, the study concluded that research has witnessed impeccable growth over the years under various lenses, which have been precisely synthesised into six clusters. While various reviews have been conducted using innumerable qualitative methods, this study attempts to employ quantitative methods to synthesise the extant literature, which is a rarity