Harishchandra Hebbar
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biophysics top 5%
- Media Technology top 5%
- Co-authors
- Keerthana PrasadRoopa B. HegdeBrij Mohan Kumar SinghNiranjana SampathilaParvati BhatKrishnamoorthi MakkithayaGovindakarnavar ArunkumarSathish Pai
- Topics
- Digital Imaging for Blood Diseases (7 papers)AI in cancer detection (7 papers)Smart Agriculture and AI (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMultimedia Tools and ApplicationsJournal of Medical Systems
- Partner nations
- India
In The Last Decade
Harishchandra Hebbar
13 papers receiving 378 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 336
- Artificial Intelligence 213
- Radiology, Nuclear Medicine and Imaging 147
- Biophysics 84
- Media Technology 66
Countries citing papers authored by Harishchandra Hebbar
This map shows the geographic impact of Harishchandra Hebbar'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 Harishchandra Hebbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harishchandra Hebbar more than expected).
Fields of papers citing papers by Harishchandra Hebbar
This network shows the impact of papers produced by Harishchandra Hebbar. 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 Harishchandra Hebbar. The network helps show where Harishchandra Hebbar may publish in the future.
Co-authorship network of co-authors of Harishchandra Hebbar
This figure shows the co-authorship network connecting the top 25 collaborators of Harishchandra Hebbar. A scholar is included among the top collaborators of Harishchandra Hebbar 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 Harishchandra Hebbar. Harishchandra Hebbar 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 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 46 | |
| 7 | 57 | |
| 8 | 143 | |
| 9 | 18 | |
| 10 | 24 | |
| 11 | 48 | |
| 12 | 38 | |
| 13 | 2 |
About Harishchandra Hebbar
Harishchandra Hebbar is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 13 papers that have together received 390 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (7 papers), AI in cancer detection (7 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Biophysics (84 citations) and Media Technology (66 citations). Harishchandra Hebbar has collaborated with scholars based in India. Frequent co-authors include Keerthana Prasad, Roopa B. Hegde, Brij Mohan Kumar Singh, Brij Mohan Kumar Singh, Niranjana Sampathila, Parvati Bhat, Krishnamoorthi Makkithaya, Govindakarnavar Arunkumar, Sathish Pai and Manjunath Hande. Their work appears in journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Journal of Medical Systems.
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.