Kishore Reddy
About
In The Last Decade
Kishore Reddy
6 papers receiving 91 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 38
- Psychiatry and Mental health 29
- Surgery 17
- Media Technology 16
- Genetics 14
Countries citing papers authored by Kishore Reddy
This map shows the geographic impact of Kishore Reddy'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 Kishore Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kishore Reddy more than expected).
Fields of papers citing papers by Kishore Reddy
This network shows the impact of papers produced by Kishore Reddy. 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 Kishore Reddy. The network helps show where Kishore Reddy may publish in the future.
Co-authorship network of co-authors of Kishore Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of Kishore Reddy. A scholar is included among the top collaborators of Kishore Reddy 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 Kishore Reddy. Kishore Reddy 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 | 1 | |
| 3 | 13 | |
| 4 | 36 | |
| 5 | 11 | |
| 6 | Action Recognition Using Particle Flow Fields | 1 |
| 7 | 31 |
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.