S. R. K. Branavan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Regina BarzilayLuke ZettlemoyerHarr ChenDavid R. KargerTao LeíNate KushmanDavid SilverHoushou Chen
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Advanced Text Analysis Techniques (4 papers)
- Journals
- Journal of Artificial Intelligence ResearchMeeting of the Association for Computational LinguisticsInternational Joint Conference on Artificial Intelligence
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
S. R. K. Branavan
9 papers receiving 312 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 318
- Computer Vision and Pattern Recognition 85
- Information Systems 40
- Control and Systems Engineering 26
- Computer Networks and Communications 13
Countries citing papers authored by S. R. K. Branavan
This map shows the geographic impact of S. R. K. Branavan'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 S. R. K. Branavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. R. K. Branavan more than expected).
Fields of papers citing papers by S. R. K. Branavan
This network shows the impact of papers produced by S. R. K. Branavan. 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 S. R. K. Branavan. The network helps show where S. R. K. Branavan may publish in the future.
Co-authorship network of co-authors of S. R. K. Branavan
This figure shows the co-authorship network connecting the top 25 collaborators of S. R. K. Branavan. A scholar is included among the top collaborators of S. R. K. Branavan 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 S. R. K. Branavan. S. R. K. Branavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Learning High-Level Planning from Text | 33 |
| 3 | 16 | |
| 4 | Reading between the Lines: Learning to Map High-Level Instructions to Commands | 50 |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 152 | |
| 8 | 39 | |
| 9 | Generating a Table-of-Contents | 12 |
About S. R. K. Branavan
S. R. K. Branavan is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 9 papers that have together received 342 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (318 citations), Computer Vision and Pattern Recognition (85 citations) and General Social Sciences (6 citations). S. R. K. Branavan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Regina Barzilay, Luke Zettlemoyer, Harr Chen, David R. Karger, Tao Leí, Nate Kushman, David Silver, Houshou Chen, Jacob Eisenstein and Stephanie Seneff. Their work appears in journals such as Journal of Artificial Intelligence Research, Meeting of the Association for Computational Linguistics and International Joint Conference on Artificial Intelligence.
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.