Nisha Srinivas
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Co-authors
- N. L. SardaRichard W. Vorder BrueggeKarl RicanekDavid S. BolmeKalyan VeeramachaneniLisa Ann OsadciwGaurav AggarwalPatrick J. Flynn
- Topics
- Biometric Identification and Security (7 papers)Face recognition and analysis (6 papers)Face and Expression Recognition (5 papers)
- Journals
- IEEE Transactions on Information Forensics and SecurityJournal of Forensic SciencesInternet of Things
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Nisha Srinivas
11 papers receiving 201 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 124
- Signal Processing 104
- Information Systems 78
- Artificial Intelligence 49
- Computational Theory and Mathematics 42
Countries citing papers authored by Nisha Srinivas
This map shows the geographic impact of Nisha Srinivas'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 Nisha Srinivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Srinivas more than expected).
Fields of papers citing papers by Nisha Srinivas
This network shows the impact of papers produced by Nisha Srinivas. 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 Nisha Srinivas. The network helps show where Nisha Srinivas may publish in the future.
Co-authorship network of co-authors of Nisha Srinivas
This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Srinivas. A scholar is included among the top collaborators of Nisha Srinivas 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 Nisha Srinivas. Nisha Srinivas 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 | 3 | |
| 3 | 30 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 15 | |
| 10 | Fusing correlated data from multiple classifiers for improved biometric verification | 12 |
| 11 | 32 | |
| 12 | 48 |
About Nisha Srinivas
Nisha Srinivas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Urology, having authored 12 papers that have together received 216 indexed citations. Recurring topics across this work include Biometric Identification and Security (7 papers), Face recognition and analysis (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (104 citations), Computer Vision and Pattern Recognition (124 citations) and Information Systems (78 citations). Nisha Srinivas has collaborated with scholars based in United States, India and Australia. Frequent co-authors include N. L. Sarda, Richard W. Vorder Bruegge, Karl Ricanek, David S. Bolme, Kalyan Veeramachaneni, Lisa Ann Osadciw, Gaurav Aggarwal, Patrick J. Flynn, Arun Ross and Michael C. King. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Journal of Forensic Sciences and Internet of Things.
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.