Nisha Srinivas
About
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 |
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.