S. Veni
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Image and Signal Denoising Methods 7
- Medical Image Segmentation Techniques 6
- Face recognition and analysis 6
- Face and Expression Recognition 5
- Co-authors
- R. Anand (12 shared papers)J Aravinth (5 shared papers)P. Prakash (1 shared paper)L. Padma Suresh (6 shared papers)T. Shanthi (4 shared papers)O.V. Ramana Murthy (3 shared papers)R. S. Sabeenian (2 shared papers)Suresh Subramoniam (1 shared paper)
In The Last Decade
S. Veni
69 papers receiving 640 citations
Peers
Comparison fields: 5 of 100
- Media Technology 117
- Analytical Chemistry 108
- Computer Vision and Pattern Recognition 185
- Plant Science 243
- Human-Computer Interaction 23
Countries citing papers authored by S. Veni
This map shows the geographic impact of S. Veni'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 S. Veni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Veni more than expected).
Fields of papers citing papers by S. Veni
This network shows the impact of papers produced by S. Veni. 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 S. Veni. The network helps show where S. Veni may publish in the future.
Co-authors
The 24 scholars most cited alongside S. Veni, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2020 | 75 | |
| 3 | 2017 | 39 | |
| 4 | 2021 | 37 | |
| 5 | 2012 | 33 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 17 | |
| 12 | Performance Analysis of Edge Detection Methods on Hexagonal Sampling Grid | 2009 | 17 |
| 13 | 2017 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2012 | 13 | |
| 18 | 2022 | 11 | |
| 19 | YOLO classification with multiple object tracking for vacant parking lot detection | 2018 | 11 |
| 20 | 2021 | 11 |
About S. Veni
S. Veni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Computational Mechanics, having authored 73 papers that have together received 715 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Image and Signal Denoising Methods (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Smart Agriculture and AI (6 papers), Medical Image Segmentation Techniques (6 papers), Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Media Technology (117 citations), Analytical Chemistry (108 citations), Computer Vision and Pattern Recognition (185 citations), Plant Science (243 citations) and Human-Computer Interaction (23 citations). S. Veni has collaborated with scholars based in India, Singapore and Nepal. Frequent co-authors include R. Anand, J Aravinth, P. Prakash, L. Padma Suresh, T. Shanthi, O.V. Ramana Murthy, R. S. Sabeenian, Suresh Subramoniam, P. Geetha and R Anand. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Biomedical Signal Processing and Control, Scientific Reports and Remote Sensing.
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.