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
-
- Fault Detection and Control Systems 6
- Machine Fault Diagnosis Techniques 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)Frontiers in Microbiology (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Journal of Multimedia (1 paper)Plant Cell & Environment (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Jayant Kulkarni
52 papers receiving 532 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 141
- Plant Science 205
- 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 199 | |
| 2 | 1995 | 79 | |
| 3 | 2008 | 30 | |
| 4 | 2016 | 29 | |
| 5 | 2006 | 26 | |
| 6 | 2014 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2019 | 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 61 papers that have together received 582 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Retinal Imaging and Analysis (8 papers), Fault Detection and Control Systems (6 papers), Machine Fault Diagnosis Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Biometric Identification and Security (5 papers), Digital Imaging for Blood Diseases (5 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Plant Science (205 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 Suresh N. Mali. Their work appears in journals such as Pattern Recognition, Frontiers in Microbiology, Journal of Agricultural and Food Chemistry, Journal of Multimedia and Plant Cell & Environment.
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.