Ramakanth Pasunuru
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
-
- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 18
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 6
- Semantic Web and Ontologies 2
- Machine Learning and Data Classification 2
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
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- Multimodal Machine Learning Applications 4
- Co-authors
- Mohit Bansal (15 shared papers)Han Guo (5 shared papers)Aslı Çelikyılmaz (6 shared papers)Sujith Ravi (1 shared paper)Veselin Stoyanov (3 shared papers)Mengwen Liu (1 shared paper)Markus Dreyer (1 shared paper)Srinivasan Iyer (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (3 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Ramakanth Pasunuru
22 papers receiving 278 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 244
- Computer Vision and Pattern Recognition 73
- Information Systems 23
- Health Informatics 1
- General Social Sciences 2
Countries citing papers authored by Ramakanth Pasunuru
This map shows the geographic impact of Ramakanth Pasunuru'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 Ramakanth Pasunuru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramakanth Pasunuru more than expected).
Fields of papers citing papers by Ramakanth Pasunuru
This network shows the impact of papers produced by Ramakanth Pasunuru. 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 Ramakanth Pasunuru. The network helps show where Ramakanth Pasunuru may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramakanth Pasunuru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 28 | |
| 5 | 2017 | 20 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. | 2021 | 1 |
About Ramakanth Pasunuru
Ramakanth Pasunuru is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and General Health Professions, having authored 22 papers that have together received 290 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers), Advanced Text Analysis Techniques (6 papers), Multimodal Machine Learning Applications (4 papers), Semantic Web and Ontologies (2 papers), Machine Learning and Data Classification (2 papers), Speech and dialogue systems (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (244 citations), Computer Vision and Pattern Recognition (73 citations), Information Systems (23 citations), Health Informatics (1 citation) and General Social Sciences (2 citations). Ramakanth Pasunuru has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Mohit Bansal, Han Guo, Aslı Çelikyılmaz, Sujith Ravi, Veselin Stoyanov, Mengwen Liu, Markus Dreyer, Srinivasan Iyer, Greg Durrett and Ido Dagan. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence, Repository for Publications and Research Data (ETH Zurich), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.