M. Suresha
- Artificial Intelligence top 10%
- Plant Science
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 5%
- Information Systems top 10%
- Topics
- Spectroscopy and Chemometric Analyses (8 papers)Smart Agriculture and AI (8 papers)Vehicle License Plate Recognition (6 papers)
In The Last Decade
M. Suresha
30 papers receiving 403 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 170
- Plant Science 109
- Computer Vision and Pattern Recognition 106
- Analytical Chemistry 83
- Information Systems 75
Countries citing papers authored by M. Suresha
This map shows the geographic impact of M. Suresha'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 M. Suresha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Suresha more than expected).
Fields of papers citing papers by M. Suresha
This network shows the impact of papers produced by M. Suresha. 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 M. Suresha. The network helps show where M. Suresha may publish in the future.
Co-authorship network of co-authors of M. Suresha
This figure shows the co-authorship network connecting the top 25 collaborators of M. Suresha. A scholar is included among the top collaborators of M. Suresha 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 M. Suresha. M. Suresha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 17 | |
| 3 | 73 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 15 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | Classification of Diseased Arecanut based on Texture Features | 7 |
| 17 | Arecanut grading based on three sigma controls and SVM | 9 |
| 18 | 5 | |
| 19 | 12 | |
| 20 | Apples Grading based on SVM Classifier | 18 |
About M. Suresha
M. Suresha is a scholar working on Analytical Chemistry, Media Technology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Smart Agriculture and AI (8 papers) and Vehicle License Plate Recognition (6 papers). The work is most often cited by research in Analytical Chemistry (83 citations), Media Technology (61 citations) and General Social Sciences (18 citations). M. Suresha has collaborated with scholars based in India, Yemen and Australia. Frequent co-authors include Jemal Abawajy, Mufeed Ahmed Naji Saif, Banjagere Veerabhadrappa Thirumalesh and Ajit Danti. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Artificial Intelligence Review.
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.