Jayant Kulkarni
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Legume Nitrogen Fixing Symbiosis
- Plant Stress Responses and Tolerance
- Nematode management and characterization studies
Papers in
-
- Medical Image Segmentation Techniques 9
- Image and Signal Denoising Methods 6
- Digital Imaging for Blood Diseases 5
-
- Machine Fault Diagnosis Techniques 6
- Fault Detection and Control Systems 6
- Co-authors
- Sandeep Sharma (2 shared papers)Bhavanath Jha (1 shared paper)Bijan Jabbari (1 shared paper)Giovanni Colombo (1 shared paper)Pradeep M. Patil (2 shared papers)Raghunath S. Holambe (4 shared papers)Penna Suprasanna (4 shared papers)Mahesh Borde (3 shared papers)
- Journals
- Pattern Recognition (2 papers)Journal of Plant Growth Regulation (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Frontiers in Microbiology (1 paper)IEEE Communications Magazine (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Jayant Kulkarni
52 papers receiving 546 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 140
- Plant Science 209
- Signal Processing 52
- Ophthalmology 33
- Computer Networks and Communications 75
Countries citing papers authored by Jayant Kulkarni
This map shows the geographic impact of Jayant Kulkarni'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 Jayant Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayant Kulkarni more than expected).
Fields of papers citing papers by Jayant Kulkarni
This network shows the impact of papers produced by Jayant Kulkarni. 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 Jayant Kulkarni. The network helps show where Jayant Kulkarni may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayant Kulkarni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 204 | |
| 2 | 1995 | 79 | |
| 3 | 2008 | 30 | |
| 4 | 2016 | 29 | |
| 5 | 2006 | 26 | |
| 6 | 2023 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2008 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2013 | 6 |
About Jayant Kulkarni
Jayant Kulkarni is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering, having authored 59 papers that have together received 594 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Retinal Imaging and Analysis (8 papers), Machine Fault Diagnosis Techniques (6 papers), Fault Detection and Control Systems (6 papers), Image and Signal Denoising Methods (6 papers), Digital Imaging for Blood Diseases (5 papers), Biometric Identification and Security (5 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Plant Science (209 citations), Signal Processing (52 citations), Ophthalmology (33 citations) and Computer Networks and Communications (75 citations). Jayant Kulkarni has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sandeep Sharma, Bhavanath Jha, Bijan Jabbari, Giovanni Colombo, Pradeep M. Patil, Raghunath S. Holambe, Penna Suprasanna, Mahesh Borde, R. Jayadevan and Ashish Kumar Srivastava. Their work appears in journals such as Pattern Recognition, Journal of Plant Growth Regulation, Journal of Agricultural and Food Chemistry, Frontiers in Microbiology and IEEE Communications Magazine.
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.