Garima Gupta
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 10%
- Co-authors
- Rahul KataryaMohanasankar SivaprakasamKeerthi RamNiranjan JoshiDharmendra SinghTiju ThomasGautam ShroffNasima Khatun
- Topics
- Recommender Systems and Techniques (6 papers)Distributed and Parallel Computing Systems (4 papers)Data Stream Mining Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsHuman Reproduction
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Garima Gupta
32 papers receiving 215 citations
Peers
Comparison fields: 5 of 61
- Information Systems 88
- Computer Networks and Communications 70
- Artificial Intelligence 51
- Radiology, Nuclear Medicine and Imaging 42
- Ophthalmology 39
Countries citing papers authored by Garima Gupta
This map shows the geographic impact of Garima 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 Garima Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garima Gupta more than expected).
Fields of papers citing papers by Garima Gupta
This network shows the impact of papers produced by Garima 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 Garima Gupta. The network helps show where Garima Gupta may publish in the future.
Co-authorship network of co-authors of Garima Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Garima Gupta. A scholar is included among the top collaborators of Garima 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 Garima Gupta. Garima 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 | 2 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | Visual Bayesian fusion to navigate a data lake | 3 |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 4 |
About Garima Gupta
Garima Gupta is a scholar working on Tourism, Leisure and Hospitality Management, Ophthalmology and Information Systems, having authored 36 papers that have together received 230 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Distributed and Parallel Computing Systems (4 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Ophthalmology (39 citations), Information Systems (88 citations) and Computer Networks and Communications (70 citations). Garima Gupta has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Rahul Katarya, Mohanasankar Sivaprakasam, Keerthi Ram, Niranjan Joshi, Dharmendra Singh, Tiju Thomas, Gautam Shroff, Nasima Khatun, Somnath C. Roy and Umesh Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Human Reproduction.
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.