Suhrid Balakrishnan
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Sumit ChopraEmiliano MiluzzoAlexander VarshavskyRomit Roy ChoudhuryDavid MadiganMarianthi IerapetritouJ. D. WilliamsPanos G. Georgopoulos
- Topics
- Recommender Systems and Techniques (4 papers)Topic Modeling (3 papers)Speech and dialogue systems (2 papers)
- Partner nations
- United StatesTajikistan
In The Last Decade
Suhrid Balakrishnan
17 papers receiving 523 citations
Peers
Comparison fields: 5 of 92
- Information Systems 260
- Artificial Intelligence 229
- Signal Processing 199
- Computer Vision and Pattern Recognition 84
- Computer Networks and Communications 57
Countries citing papers authored by Suhrid Balakrishnan
This map shows the geographic impact of Suhrid Balakrishnan'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 Suhrid Balakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhrid Balakrishnan more than expected).
Fields of papers citing papers by Suhrid Balakrishnan
This network shows the impact of papers produced by Suhrid Balakrishnan. 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 Suhrid Balakrishnan. The network helps show where Suhrid Balakrishnan may publish in the future.
Co-authorship network of co-authors of Suhrid Balakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Suhrid Balakrishnan. A scholar is included among the top collaborators of Suhrid Balakrishnan 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 Suhrid Balakrishnan. Suhrid Balakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 98 | |
| 4 | 218 | |
| 5 | 13 | |
| 6 | Combining predictors for recommending music: the false positives' approach to KDD Cup track 2 | 2 |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 27 | |
| 11 | 12 | |
| 12 | 33 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 19 | |
| 16 | 17 | |
| 17 | 22 | |
| 18 | 44 |
About Suhrid Balakrishnan
Suhrid Balakrishnan is a scholar working on Management Science and Operations Research, Signal Processing and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 551 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (199 citations), Information Systems (260 citations) and Human-Computer Interaction (43 citations). Suhrid Balakrishnan has collaborated with scholars based in United States and Tajikistan. Frequent co-authors include Sumit Chopra, Emiliano Miluzzo, Alexander Varshavsky, Romit Roy Choudhury, David Madigan, Marianthi Ierapetritou, J. D. Williams, Panos G. Georgopoulos, G. P. Flach and Amit Roy. Their work appears in journals such as Water Resources Research, Journal of Hydrology and Chemical Engineering Science.
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.