Vijay Khatri
- Management Information Systems top 1%
- Information Systems top 2%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Information Systems and Management top 2%
- Co-authors
- Carol V. BrownV. RameshAnne MasseyMitzi M. Montoya‐WeissIris VesseyFrank AcitoSudha RamPaul Clay
- Topics
- Semantic Web and Ontologies (9 papers)Data Management and Algorithms (8 papers)Advanced Database Systems and Queries (7 papers)
- Cited by
- Management Information SystemsInformation Systems and ManagementManagement Science and Operations Research
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Vijay Khatri
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Management Information Systems 430
- Information Systems 300
- Management Science and Operations Research 279
- Artificial Intelligence 259
- Information Systems and Management 242
Countries citing papers authored by Vijay Khatri
This map shows the geographic impact of Vijay Khatri'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 Vijay Khatri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Khatri more than expected).
Fields of papers citing papers by Vijay Khatri
This network shows the impact of papers produced by Vijay Khatri. 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 Vijay Khatri. The network helps show where Vijay Khatri may publish in the future.
Co-authorship network of co-authors of Vijay Khatri
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Khatri. A scholar is included among the top collaborators of Vijay Khatri 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 Vijay Khatri. Vijay Khatri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | BODY DONATION FOR LEARNING AND RESEARCH IN MEDICAL SCIENCE: A REVIEW OF PREVALENT TRENDS AND PERCEPTION OF DONORS | 1 |
| 4 | 14 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 84 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | Understanding Use Cases: Harnessing the Power of Narratives to Comprehend Application Domains | 1 |
| 12 | Information search process for a well-structured IS problem: The role of IS and application domain knowledge | 1 |
| 13 | 6 | |
| 14 | 35 | |
| 15 | 137 | |
| 16 | 2 | |
| 17 | 23 | |
| 18 | Bridging the spatio-temporal semantic gap : a theoretical framework, evaluation and a prototype system | 4 |
| 19 | 14 | |
| 20 | ST USM: Bridging the Semantic Gap with a Spatio-Temporal Conceptual Model | 5 |
About Vijay Khatri
Vijay Khatri is a scholar working on Information Systems and Management, Signal Processing and Management Information Systems, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Data Management and Algorithms (8 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Management Information Systems (430 citations), Information Systems and Management (242 citations) and Management Science and Operations Research (279 citations). Vijay Khatri has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Carol V. Brown, V. Ramesh, Anne Massey, Mitzi M. Montoya‐Weiss, Iris Vessey, Frank Acito, Sudha Ram, Paul Clay, Sungjin Park and Andrew Massey. Their work appears in journals such as Communications of the ACM, MIS Quarterly and IEEE Transactions on Software Engineering.
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.