Shilpa Gite
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Plant Science
- Co-authors
- Ketan KotechaBiswajeet PradhanAbdullah AlamriAbhinav MishraShruti PatilSubrata ChakrabortySudeep D. ThepadeMrinal Bachute
- Topics
- Digital Imaging for Blood Diseases (9 papers)Autonomous Vehicle Technology and Safety (9 papers)Face recognition and analysis (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaTrends in Food Science & TechnologyIEEE Access
- Partner nations
- IndiaAustraliaSaudi Arabia
In The Last Decade
Shilpa Gite
82 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 322
- Artificial Intelligence 319
- Radiology, Nuclear Medicine and Imaging 198
- Media Technology 97
- Plant Science 85
Countries citing papers authored by Shilpa Gite
This map shows the geographic impact of Shilpa Gite'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 Shilpa Gite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilpa Gite more than expected).
Fields of papers citing papers by Shilpa Gite
This network shows the impact of papers produced by Shilpa Gite. 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 Shilpa Gite. The network helps show where Shilpa Gite may publish in the future.
Co-authorship network of co-authors of Shilpa Gite
This figure shows the co-authorship network connecting the top 25 collaborators of Shilpa Gite. A scholar is included among the top collaborators of Shilpa Gite 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 Shilpa Gite. Shilpa Gite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Reviewbreakdown → | 100 |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 19 | |
| 20 | A Bibliometric Analysis of Face Presentation Attacks based on Domain Adaptation | 3 |
About Shilpa Gite
Shilpa Gite is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), Autonomous Vehicle Technology and Safety (9 papers) and Face recognition and analysis (7 papers). The work is most often cited by research in Health Informatics (40 citations), Computer Vision and Pattern Recognition (322 citations) and Media Technology (97 citations). Shilpa Gite has collaborated with scholars based in India, Australia and Saudi Arabia. Frequent co-authors include Ketan Kotecha, Biswajeet Pradhan, Abdullah Alamri, Abhinav Mishra, Shruti Patil, Subrata Chakraborty, Sudeep D. Thepade, Mrinal Bachute, Abolfazl Abdollahi and Rajanikanth Aluvalu. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology 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.