R. Reddy
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Molecular Biology
- Aerospace Engineering
- Co-authors
- Hsiao-Wuen HonK.-F. LeeHeung‐Yeung ShumKatsushi IkeuchiJudith Klein‐SeetharamanMadhavi K. GanapathirajuMichael L. MauldinScott M. Stevens
- Topics
- Speech Recognition and Synthesis (5 papers)Advanced Vision and Imaging (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEECommunications of the ACM
- Partner nations
- United StatesIndiaJapan
In The Last Decade
R. Reddy
26 papers receiving 673 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 362
- Computer Vision and Pattern Recognition 262
- Signal Processing 232
- Molecular Biology 66
- Aerospace Engineering 59
Countries citing papers authored by R. Reddy
This map shows the geographic impact of R. 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 R. Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Reddy more than expected).
Fields of papers citing papers by R. Reddy
This network shows the impact of papers produced by R. 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 R. Reddy. The network helps show where R. Reddy may publish in the future.
Co-authorship network of co-authors of R. Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of R. Reddy. A scholar is included among the top collaborators of R. 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 R. Reddy. R. 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 24 | |
| 10 | Real-time Terascale Implementation of Tele-immersion | 2 |
| 11 | 16 | |
| 12 | 35 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 136 | |
| 16 | 296 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 24 |
About R. Reddy
R. Reddy is a scholar working on Human Factors and Ergonomics, Computer Vision and Pattern Recognition and Signal Processing, having authored 31 papers that have together received 782 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Advanced Vision and Imaging (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Signal Processing (232 citations), Computer Vision and Pattern Recognition (262 citations) and Artificial Intelligence (362 citations). R. Reddy has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Hsiao-Wuen Hon, K.-F. Lee, Heung‐Yeung Shum, Katsushi Ikeuchi, Judith Klein‐Seetharaman, Madhavi K. Ganapathiraju, Michael L. Mauldin, Scott M. Stevens, B. Lowerre and Marvin A. Sirbu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.
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.