Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Advances in Social Media Research: Past, Present and Future
This map shows the geographic impact of Sridhar Nerur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sridhar Nerur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sridhar Nerur more than expected).
This network shows the impact of papers produced by Sridhar Nerur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sridhar Nerur. The network helps show where Sridhar Nerur may publish in the future.
Co-authorship network of co-authors of Sridhar Nerur
This figure shows the co-authorship network connecting the top 25 collaborators of Sridhar Nerur.
A scholar is included among the top collaborators of Sridhar Nerur based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Sridhar Nerur. Sridhar Nerur is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nerur, Sridhar, et al.. (2020). Analyzing Co-authorship Network for Homophily – Evidence from IS senior Scholar’s Basket of Eight Journals for Business Analytics Research. Journal of the Association for Information Systems.
Nerur, Sridhar, et al.. (2019). Team Formation and Performance in Online Crowdsourcing Competitions: The Role of Homophily and Diversity in Solver Characteristics.. Journal of the Association for Information Systems.1 indexed citations
Bhadauria, Vikram S., RadhaKanta Mahapatra, & Sridhar Nerur. (2018). ICT4D: Exploring Emergent Themes. Journal of the Association for Information Systems.1 indexed citations
9.
Nerur, Sridhar & VenuGopal Balijepally. (2017). Exploring the Structure of Software Development Research: A Preliminary Text Analysis. Journal of the Association for Information Systems.1 indexed citations
10.
Balijepally, VenuGopal, et al.. (2017). Mob Programming - A Promising Innovation in the Agile Toolkit.. Journal of the Association for Information Systems.3 indexed citations
11.
Nerur, Sridhar, et al.. (2017). Intellectual Structure of Business Analytics in Information Systems. Journal of the Association for Information Systems.
12.
Balijepally, VenuGopal & Sridhar Nerur. (2015). Understanding the Structure of Agile Software Development Using Text Analytics: A Preliminary Analysis. Journal of the Association for Information Systems.
Nerur, Sridhar, et al.. (2013). Knowledge management in software development. Journal of the Association for Information Systems.4 indexed citations
15.
Teng, James T. C., et al.. (2010). The perceived advantage of agile development methodologies by software professionals: Testing an innovation-theoretic model. Journal of the Association for Information Systems. 93.12 indexed citations
Nerur, Sridhar, et al.. (2004). Philosophical Shifts in Software Development. Journal of the Association for Information Systems. 516.6 indexed citations
19.
Balijepally, VenuGopal, Radha K. Mahapatra, & Sridhar Nerur. (2004). Social Capital: A Theoretical Lens for IS Research. Journal of the Association for Information Systems. 187.5 indexed citations
20.
Balijepally, VenuGopal, Radha K. Mahapatra, & Sridhar Nerur. (2003). Cognitive Dispositions of IS Personnel and Implications for Pair Programming. Journal of the Association for Information Systems. 193.2 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.