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.
Countries citing papers authored by Jay E. Aronson
Since
Specialization
Citations
This map shows the geographic impact of Jay E. Aronson'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 Jay E. Aronson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay E. Aronson more than expected).
This network shows the impact of papers produced by Jay E. Aronson. 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 Jay E. Aronson. The network helps show where Jay E. Aronson may publish in the future.
Co-authorship network of co-authors of Jay E. Aronson
This figure shows the co-authorship network connecting the top 25 collaborators of Jay E. Aronson.
A scholar is included among the top collaborators of Jay E. Aronson 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 Jay E. Aronson. Jay E. Aronson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Gupta, Babita, Lakshmi Iyer, & Jay E. Aronson. (2016). A Study of Knowledge Management Practices using Grounded Theory Approach. Journal of Scientific & Industrial Research. 59. 668–672.3 indexed citations
2.
Watson, Richard T., et al.. (2009). Energy + Information < Energy. Americas Conference on Information Systems. 448.5 indexed citations
Turban, Efraim, Jay E. Aronson, Ting‐Peng Liang, & Ramesh Sharda. (2006). Decision Support and Business Intelligence Systems (8th Edition). Prentice-Hall, Inc eBooks.98 indexed citations
Halawi, Leila, Jay E. Aronson, & Richard V. McCarthy. (2005). Resource-Based View of Knowledge Management for Competitive Advantage. Electronic Journal of Knowledge Management. 3(2). 75–86.163 indexed citations
8.
Aronson, Jay E., et al.. (2004). War Games: Evaluating Interactive Simulation Software for the Battlefield and the Board Room. Journal of the Association for Information Systems. 414.3 indexed citations
9.
Turban, Efraim, Jay E. Aronson, & Ting‐Peng Liang. (2004). Decision Support Systems and Intelligent Systems (7th Edition). Prentice-Hall, Inc eBooks.127 indexed citations
10.
McCarthy, Richard V. & Jay E. Aronson. (2004). Knowledge Management at General Electric: A Technology Transfer Case Study. Journal of the Association for Information Systems. 263.1 indexed citations
11.
McCarthy, Richard V., et al.. (2004). The Unified Modeling Language: An inquiry into current practices and user perceptions. Journal of the Association for Information Systems. 205.2 indexed citations
12.
McCarthy, Richard V., et al.. (2004). The Province of Diffusion of Innovations: Usable Social Theory for Information Systems Research. Journal of the Association for Information Systems. 182.
13.
McCarthy, Richard V., et al.. (2004). E-COMMERCE ADOPTION IN THE INSURANCE INDUSTRY. Journal of international women's studies.8 indexed citations
McCarthy, Richard V., et al.. (2001). MEASURING THE VALIDITY OF TASK TECHNOLOGY FIT FOR KNOWLEDGE MANAGEMENT SYSTEMS. Journal of the Association for Information Systems.6 indexed citations
Dennis, Alan R., et al.. (1997). The Effectiveness of Multiple Dialogues in Electronic Brainstorming. Information Systems Research. 8(2).18 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.