S. Veni
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Analytical Chemistry top 5%
- Artificial Intelligence
- Co-authors
- R. AnandJ AravinthP. PrakashL. Padma SureshO.V. Ramana MurthyT. ShanthiR. S. SabeenianSuresh Subramoniam
- Topics
- Remote-Sensing Image Classification (8 papers)Image and Signal Denoising Methods (7 papers)Sparse and Compressive Sensing Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsRemote Sensing
In The Last Decade
S. Veni
69 papers receiving 640 citations
Peers
Comparison fields: 5 of 100
- Plant Science 243
- Computer Vision and Pattern Recognition 185
- Media Technology 117
- Analytical Chemistry 108
- Artificial Intelligence 76
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-authorship network of co-authors of S. Veni
This figure shows the co-authorship network connecting the top 25 collaborators of S. Veni. A scholar is included among the top collaborators of S. Veni 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 S. Veni. S. Veni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | Sensor-based hand gesture control system for safe driving | 5 |
| 10 | YOLO classification with multiple object tracking for vacant parking lot detection | 11 |
| 11 | 7 | |
| 12 | 3 | |
| 13 | Computer aided system for detection and classification of brinjal leaf diseases using thermal and visible light images | 5 |
| 14 | 21 | |
| 15 | 22 | |
| 16 | Exponential-Splines in Compressed Sensing ECG Reconstruction | 1 |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | Wavelet Based Edge Detection and Multiresolution Analysis on Hexagonal Sampled Grid using Interpolation | 1 |
About S. Veni
S. Veni is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, 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) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Media Technology (117 citations), Analytical Chemistry (108 citations) and Computer Vision and Pattern Recognition (185 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, O.V. Ramana Murthy, T. Shanthi, R. S. Sabeenian, Suresh Subramoniam, P. Geetha and Manoj Panda. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.