Jagadeesh Pujari
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Analytical Chemistry top 2%
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- Rajesh YakkundimathA. S. ByadgiP. S. HiremathS. ShivashankarPadmashree DesaiV. Kamakshi PrasadN. H. AyachitT R Mahesh
- Topics
- Image Retrieval and Classification Techniques (17 papers)Advanced Image and Video Retrieval Techniques (12 papers)Smart Agriculture and AI (10 papers)
- Journals
- Biomedical Signal Processing and ControlContrast Media & Molecular ImagingSN Computer Science
- Partner nations
- IndiaBangladesh
In The Last Decade
Jagadeesh Pujari
44 papers receiving 656 citations
Peers
Comparison fields: 5 of 90
- Plant Science 348
- Computer Vision and Pattern Recognition 311
- Analytical Chemistry 210
- Media Technology 89
- Artificial Intelligence 65
Countries citing papers authored by Jagadeesh Pujari
This map shows the geographic impact of Jagadeesh Pujari'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 Jagadeesh Pujari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagadeesh Pujari more than expected).
Fields of papers citing papers by Jagadeesh Pujari
This network shows the impact of papers produced by Jagadeesh Pujari. 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 Jagadeesh Pujari. The network helps show where Jagadeesh Pujari may publish in the future.
Co-authorship network of co-authors of Jagadeesh Pujari
This figure shows the co-authorship network connecting the top 25 collaborators of Jagadeesh Pujari. A scholar is included among the top collaborators of Jagadeesh Pujari 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 Jagadeesh Pujari. Jagadeesh Pujari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Human Face Recognition Using Combined Approaches PCA and ICA | 2 |
| 13 | Grading and Classification of Anthracnose Fungal Disease of Fruits based on Statistical Texture Features | 35 |
| 14 | 11 | |
| 15 | 13 | |
| 16 | 109 | |
| 17 | 11 | |
| 18 | 15 | |
| 19 | A Novel Technique for Dead End and Bump Detection in Indian Road Images Using Color Segmentation and Knowledge Base Object Detection | 0 |
| 20 | 8 |
About Jagadeesh Pujari
Jagadeesh Pujari is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry, having authored 53 papers that have together received 753 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Smart Agriculture and AI (10 papers). The work is most often cited by research in Analytical Chemistry (210 citations), Computer Vision and Pattern Recognition (311 citations) and Media Technology (89 citations). Jagadeesh Pujari has collaborated with scholars based in India and Bangladesh. Frequent co-authors include Rajesh Yakkundimath, A. S. Byadgi, P. S. Hiremath, S. Shivashankar, Padmashree Desai, V. Kamakshi Prasad, N. H. Ayachit, T R Mahesh, P. S. Hiremath and Ann Marie Hake. Their work appears in journals such as Biomedical Signal Processing and Control, Contrast Media & Molecular Imaging and SN Computer Science.
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.