Sujith Ravi
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Management Science and Operations Research
- Molecular Biology
- Co-authors
- Zornitsa KozarevaKevin KnightMarius PaşcaAndrew TomkinsEmmanouil Antonios PlataniosDana Movshovitz‐AttiasKrishnamurthy ViswanathanOtilia Stretcu
- Topics
- Topic Modeling (5 papers)Advanced Text Analysis Techniques (3 papers)Natural Language Processing Techniques (3 papers)
- Journals
- Neural Information Processing SystemsInternational Conference on Machine LearningInternational Journal of Engineering Research and
- Partner nations
- United States
In The Last Decade
Sujith Ravi
9 papers receiving 92 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 90
- Computer Vision and Pattern Recognition 26
- Information Systems 21
- Management Science and Operations Research 9
- Molecular Biology 5
Countries citing papers authored by Sujith Ravi
This map shows the geographic impact of Sujith Ravi'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 Sujith Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujith Ravi more than expected).
Fields of papers citing papers by Sujith Ravi
This network shows the impact of papers produced by Sujith Ravi. 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 Sujith Ravi. The network helps show where Sujith Ravi may publish in the future.
Co-authorship network of co-authors of Sujith Ravi
This figure shows the co-authorship network connecting the top 25 collaborators of Sujith Ravi. A scholar is included among the top collaborators of Sujith Ravi 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 Sujith Ravi. Sujith Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Efficient On-Device Models using Neural Projections | 11 |
| 3 | Graph Agreement Models for Semi-Supervised Learning | 22 |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | Deciphering natural language | 0 |
| 8 | Unsupervised Name Ambiguity Resolution Using A Generative Model | 11 |
| 9 | Bayesian Inference for Zodiac and Other Homophonic Ciphers | 17 |
| 10 | 16 |
About Sujith Ravi
Sujith Ravi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 101 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (90 citations), Computer Vision and Pattern Recognition (26 citations) and Information Systems (21 citations). Sujith Ravi has collaborated with scholars based in United States. Frequent co-authors include Zornitsa Kozareva, Kevin Knight, Marius Paşca, Andrew Tomkins, Emmanouil Antonios Platanios, Dana Movshovitz‐Attias, Krishnamurthy Viswanathan, Otilia Stretcu, Chun-Ta Lu and Tom Duerig. Their work appears in journals such as Neural Information Processing Systems, International Conference on Machine Learning and International Journal of Engineering Research and.
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.