Veena Desai
About
In The Last Decade
Veena Desai
33 papers receiving 264 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 89
- Electrical and Electronic Engineering 63
- Artificial Intelligence 61
- Computer Networks and Communications 48
- Signal Processing 42
Countries citing papers authored by Veena Desai
This map shows the geographic impact of Veena Desai'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 Veena Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Desai more than expected).
Fields of papers citing papers by Veena Desai
This network shows the impact of papers produced by Veena Desai. 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 Veena Desai. The network helps show where Veena Desai may publish in the future.
Co-authorship network of co-authors of Veena Desai
This figure shows the co-authorship network connecting the top 25 collaborators of Veena Desai. A scholar is included among the top collaborators of Veena Desai 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 Veena Desai. Veena Desai 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 | 0 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 19 | |
| 12 | 27 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | A Review on Seizure Detection Systems with Emphasis on Multi-domain Feature Extraction and Classification using Machine Learning | 14 |
| 18 | 19 | |
| 19 | 16 | |
| 20 | 5 |
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.