S. Veni

35 papers and 202 indexed citations i.

About

S. Veni is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, S. Veni has authored 35 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in S. Veni’s work include Image and Signal Denoising Methods (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Smart Agriculture and AI (4 papers). S. Veni is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Smart Agriculture and AI (4 papers). S. Veni collaborates with scholars based in India and United States. S. Veni's co-authors include R. Anand, J Aravinth, O.V. Ramana Murthy, T. Shanthi, P. Prakash, R. S. Sabeenian, P. Geetha, Suresh Subramoniam, R. Karthik and Lakshmi Suresh and has published in prestigious journals such as Remote Sensing, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of S. Veni i

Fields of papers citing papers by S. Veni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by S. Veni

Since Specialization
Citations

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).

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.

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2025