Mahima Gupta
- Information Systems top 10%
- Information Systems and Management top 5%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Political Science and International Relations top 10%
- Co-authors
- G. P. SahuB.K. MohantySonali VyasRakesh Kumar YadavArpan Kumar KarHarpreet KaurSurya Prakash SinghAbhishek Singh
- Topics
- Technology Adoption and User Behaviour (6 papers)E-Government and Public Services (6 papers)Multi-Criteria Decision Making (5 papers)
- Cited by
- Information Systems and ManagementManagement Science and Operations ResearchManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- India
In The Last Decade
Mahima Gupta
21 papers receiving 314 citations
Peers
Comparison fields: 5 of 75
- Information Systems 72
- Information Systems and Management 69
- Management Science and Operations Research 68
- Artificial Intelligence 59
- Political Science and International Relations 44
Countries citing papers authored by Mahima Gupta
This map shows the geographic impact of Mahima Gupta'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 Mahima Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahima Gupta more than expected).
Fields of papers citing papers by Mahima Gupta
This network shows the impact of papers produced by Mahima Gupta. 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 Mahima Gupta. The network helps show where Mahima Gupta may publish in the future.
Co-authorship network of co-authors of Mahima Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Mahima Gupta. A scholar is included among the top collaborators of Mahima Gupta 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 Mahima Gupta. Mahima Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 48 | |
| 9 | 72 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 63 | |
| 19 | 1 | |
| 20 | 5 |
About Mahima Gupta
Mahima Gupta is a scholar working on Information Systems and Management, Management Science and Operations Research and Business and International Management, having authored 22 papers that have together received 326 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (6 papers), E-Government and Public Services (6 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in Information Systems and Management (69 citations), Management Science and Operations Research (68 citations) and Management Information Systems (33 citations). Mahima Gupta has collaborated with scholars based in India. Frequent co-authors include G. P. Sahu, B.K. Mohanty, Sonali Vyas, Rakesh Kumar Yadav, Arpan Kumar Kar, Harpreet Kaur, Surya Prakash Singh, Abhishek Singh, N.A. Sushil and Devottam Gaurav. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.