Ramya Hebbalaguppe
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Molecular Biology
- Genetics
- Co-authors
- Ehtesham HassanLovekesh VigMonika SharmaSrinidhi HegdeOindrila SahaShirish KarandeAnkit VermaGaurav Gupta
- Topics
- Hand Gesture Recognition Systems (8 papers)Advanced Neural Network Applications (7 papers)Gaze Tracking and Assistive Technology (6 papers)
- Journals
- The Visual ComputerJournal of Real-Time Image Processing2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
In The Last Decade
Ramya Hebbalaguppe
27 papers receiving 266 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 157
- Human-Computer Interaction 71
- Artificial Intelligence 56
- Molecular Biology 38
- Genetics 35
Countries citing papers authored by Ramya Hebbalaguppe
This map shows the geographic impact of Ramya Hebbalaguppe'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 Ramya Hebbalaguppe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Hebbalaguppe more than expected).
Fields of papers citing papers by Ramya Hebbalaguppe
This network shows the impact of papers produced by Ramya Hebbalaguppe. 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 Ramya Hebbalaguppe. The network helps show where Ramya Hebbalaguppe may publish in the future.
Co-authorship network of co-authors of Ramya Hebbalaguppe
This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Hebbalaguppe. A scholar is included among the top collaborators of Ramya Hebbalaguppe 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 Ramya Hebbalaguppe. Ramya Hebbalaguppe 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 | 4 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 58 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 17 | |
| 18 | 19 | |
| 19 | 9 | |
| 20 | 1 |
About Ramya Hebbalaguppe
Ramya Hebbalaguppe is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 28 papers that have together received 286 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (8 papers), Advanced Neural Network Applications (7 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Human-Computer Interaction (71 citations), Computer Vision and Pattern Recognition (157 citations) and Media Technology (20 citations). Ramya Hebbalaguppe has collaborated with scholars based in India, Singapore and Ireland. Frequent co-authors include Ehtesham Hassan, Lovekesh Vig, Monika Sharma, Srinidhi Hegde, Oindrila Saha, Shirish Karande, Ankit Verma, Gaurav Gupta, Gaurav Garg and Chetan Arora. Their work appears in journals such as The Visual Computer, Journal of Real-Time Image Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.