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.
Past, present, and future of decision support technology
2002821 citationsDaniel Power, Ramesh Sharda et al.Decision Support Systemsprofile →
This map shows the geographic impact of Ramesh Sharda'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 Ramesh Sharda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Sharda more than expected).
This network shows the impact of papers produced by Ramesh Sharda. 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 Ramesh Sharda. The network helps show where Ramesh Sharda may publish in the future.
Co-authorship network of co-authors of Ramesh Sharda
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Sharda.
A scholar is included among the top collaborators of Ramesh Sharda 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 Ramesh Sharda. Ramesh Sharda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zadeh, Amir Hassan, Hamed M. Zolbanin, & Ramesh Sharda. (2021). Incorporating Big Data Tools for Social Media Analytics in a Business Analytics Course. Journal of the Association for Information Systems. 32(3). 176–198.6 indexed citations
Sharda, Ramesh, et al.. (2015). Can Social Media Support Public Health? Demonstrating Disease Surveillance using Big Data Analytics. Journal of the Association for Information Systems.2 indexed citations
10.
Sharda, Ramesh, Dursun Delen, & Efraim Turban. (2013). Business Intelligence: A Managerial Perspective on Analytics (3rd Edition).20 indexed citations
Power, Daniel, David Schuff, David Paradice, Frada Burstein, & Ramesh Sharda. (2011). Decision Support: An Examination of the DSS Discipline. UNI ScholarWorks (University of Northern Iowa).7 indexed citations
13.
Sharda, Ramesh & Michael J. Henry. (2009). Information Extraction from Interviews to Obtain Tacit Knowledge: A Text Mining Application. Journal of the Association for Information Systems. 283.5 indexed citations
14.
Gupta, Ashish, et al.. (2009). Overcoming Email Addiction: Understanding the 'Leave Me Alone!' Approach. Journal of the Association for Information Systems. 128.1 indexed citations
15.
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
16.
Kulkarni, Uday, Daniel Power, & Ramesh Sharda. (2006). Decision Support for Global Enterprises (Annals of Information Systems). Springer eBooks.1 indexed citations
Sharda, Ramesh, et al.. (1998). OSI-based model for the justification of telecommunications investment: a conceptual framework. 223–247.2 indexed citations
19.
Sharda, Ramesh, et al.. (1989). Decision support systems: an object-oriented conceptual architecture.1 indexed citations
20.
Sharda, Ramesh. (1989). Impacts of recent computer advances on operations research. North-Holland eBooks.42 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.