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.
This map shows the geographic impact of Uday Kulkarni'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 Uday Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uday Kulkarni more than expected).
This network shows the impact of papers produced by Uday Kulkarni. 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 Uday Kulkarni. The network helps show where Uday Kulkarni may publish in the future.
Co-authorship network of co-authors of Uday Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kulkarni.
A scholar is included among the top collaborators of Uday Kulkarni 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 Uday Kulkarni. Uday Kulkarni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kulkarni, Uday, et al.. (2019). Data Analytics to Improve Citizen-Centric Smart City Services. Journal of the Association for Information Systems.2 indexed citations
3.
Kulkarni, Uday, Amit V. Deokar, & Haya Ajjan. (2019). Mining online reviews to uncover consumer brand engagement. Journal of the Association for Information Systems.3 indexed citations
Kulkarni, Uday, et al.. (2013). Development and Validation of a BI Success Model. Journal of the Association for Information Systems.15 indexed citations
6.
Wixom, Barbara H., et al.. (2011). The Current State of Business Intelligence in Academia. Journal of the Association for Information Systems. 29(1). 1.1 indexed citations
7.
Lee, Gunwoong & Uday Kulkarni. (2011). Business Intelligence in Corporate Risk Management. Journal of the Association for Information Systems. 3720–3730.2 indexed citations
8.
Islam, Nazrul, et al.. (2007). Knowledge Management Practices in Thai SMEs:Influence of SME Characteristics on Knowledge Management Processes. Journal of the Association for Information Systems. 243.2 indexed citations
9.
Kulkarni, Uday, et al.. (2007). Impact of Knowledge Management Systems on Knowledge Intensive Business Processes. Journal of the Association for Information Systems. 278.6 indexed citations
10.
Kulkarni, Uday, Daniel Power, & Ramesh Sharda. (2006). Decision Support for Global Enterprises (Annals of Information Systems). Springer eBooks.1 indexed citations
Kulkarni, Uday, et al.. (2005). Knowledge Management Systems: A Business Value Model. Journal of the Association for Information Systems. 27.2 indexed citations
Kulkarni, Uday & Ronald Freeze. (2004). Development and Validation of a Knowledge Management Capability Assessment Model. Journal of the Association for Information Systems. 657–670.55 indexed citations
16.
Kulkarni, Uday & Robert D. St. Louis. (2003). Organizational Self Assessment of Knowledge Management Maturity. Journal of the Association for Information Systems. 332.45 indexed citations
Rothenberger, Marcus A., Uday Kulkarni, & Kevin Dooley. (1998). Critical success factors for software projects. International Conference on Information Systems. 331–335.4 indexed citations
20.
Kulkarni, Uday, et al.. (1997). Independently updated views. IEEE Transactions on Knowledge and Data Engineering. 9(5). 798–812.8 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.