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.
Data mining for credit card fraud: A comparative study
This map shows the geographic impact of Sanjeev Jha'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 Sanjeev Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Jha more than expected).
This network shows the impact of papers produced by Sanjeev Jha. 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 Sanjeev Jha. The network helps show where Sanjeev Jha may publish in the future.
Co-authorship network of co-authors of Sanjeev Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Jha.
A scholar is included among the top collaborators of Sanjeev Jha 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 Sanjeev Jha. Sanjeev Jha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jha, Sanjeev, et al.. (2019). Examining the Relationship Between Job-Family Interference and Job Satisfaction: The Role of Organizational, Task, and Personal Resources as Moderators. ValpoScholar (Valparaiso University). 19(3). 180–192.2 indexed citations
Rasmussen, Peter, et al.. (2016). Quantifying uncertainty in the hydrologic simulation of a catchment with potholes using spatial calibration approach through the Soil Water Assessment tool. EGUGA.1 indexed citations
12.
Evenson, Grey R., et al.. (2016). Quantifying the Impact of geographically isolated wetlands on the downstream hydrology of a Canadian Prairie watershed. AGU Fall Meeting Abstracts. 2016.1 indexed citations
13.
Menchen-Trevino, Ericka, et al.. (2009). Wikis in the Classroom: An Agenda for Studying Collaborative Writing in Information Systems Research. Journal of the Association for Information Systems. 732.2 indexed citations
14.
Menchen-Trevino, Ericka, et al.. (2009). The 15th American conference on information systems (AMCIS). Americas Conference on Information Systems.3 indexed citations
15.
Ranganathan, Chitra Sabapathy & Sanjeev Jha. (2008). Do CIOs Matter? Assessing the Value of CIO Presence in Top Management Teams. Journal of the Association for Information Systems.15 indexed citations
Ye, Chen, et al.. (2006). Post-Adoption Switching Between Technology Options: Research in Progress. Journal of the Association for Information Systems.1 indexed citations
18.
Ye, Chen, et al.. (2006). Post-Adoption Switching Between Technology Substitutes: The Case of Web Browsers. Journal of the Association for Information Systems. 116.16 indexed citations
19.
Ranganathan, C. & Sanjeev Jha. (2005). Adoption of RFID Technology: An Exploratory Examination from Supplier's Perspective. Journal of the Association for Information Systems. 152.23 indexed citations
20.
Jha, Sanjeev, et al.. (2003). Estimating catchment-scale sediment yield from bank erosion using simple distributed variables: An example from Victoria, Australia.. Congress on Modelling and Simulation.1 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.