Gaurav Tripathi
- Artificial Intelligence top 5%
- Global and Planetary Change top 10%
- Computer Vision and Pattern Recognition top 5%
- Water Science and Technology top 10%
- Environmental Engineering
- Co-authors
- Kuldeep SinghDinesh Kumar VishwakarmaArvind Chandra PandeyBikash Ranjan ParidaAmit KumarSandeep KumarGurjit Singh WaliaSuraj Kumar Singh
- Topics
- Flood Risk Assessment and Management (9 papers)Anomaly Detection Techniques and Applications (5 papers)Hydrology and Drought Analysis (4 papers)
- Cited by
- Health Information ManagementGlobal and Planetary ChangeComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Gaurav Tripathi
33 papers receiving 541 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 219
- Global and Planetary Change 174
- Computer Vision and Pattern Recognition 149
- Water Science and Technology 83
- Environmental Engineering 66
Countries citing papers authored by Gaurav Tripathi
This map shows the geographic impact of Gaurav Tripathi'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 Gaurav Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Tripathi more than expected).
Fields of papers citing papers by Gaurav Tripathi
This network shows the impact of papers produced by Gaurav Tripathi. 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 Gaurav Tripathi. The network helps show where Gaurav Tripathi may publish in the future.
Co-authorship network of co-authors of Gaurav Tripathi
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Tripathi. A scholar is included among the top collaborators of Gaurav Tripathi 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 Gaurav Tripathi. Gaurav Tripathi 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 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | GI-Science Based Morphometric Analysis for Geo-Hydrological Studies of Ghaggar River Basin, North-West India | 1 |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 89 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | Landsat 8 Data Modeled as DGGS Data Cubes | 1 |
| 20 | 21 |
About Gaurav Tripathi
Gaurav Tripathi is a scholar working on Global and Planetary Change, Environmental Engineering and Geochemistry and Petrology, having authored 37 papers that have together received 573 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Hydrology and Drought Analysis (4 papers). The work is most often cited by research in Health Information Management (55 citations), Global and Planetary Change (174 citations) and Computer Vision and Pattern Recognition (149 citations). Gaurav Tripathi has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Kuldeep Singh, Dinesh Kumar Vishwakarma, Arvind Chandra Pandey, Bikash Ranjan Parida, Amit Kumar, Sandeep Kumar, Gurjit Singh Walia, Suraj Kumar Singh, Shruti Kanga and Dilip K. Prasad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.