Ramakanth Pasunuru

1.1k citations
22 papers · 264 · h-index 9

Impact in

    • 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

Journals
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (3 papers)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)
Partner nations
United StatesIsraelIndia

In The Last Decade

Ramakanth Pasunuru

21 papers receiving 254 citations

Peers

Ramakanth Pasunuru
Comparison fields: 5 of 42
  • Artificial Intelligence 227
  • Computer Vision and Pattern Recognition 69
  • Information Systems 22
  • Health Informatics 1
  • General Social Sciences 2
Replace Jan Buys with:
Jan Buys South Africa
Yinpei Dai China
Haoyang Wen China
Yongjing Yin China
Huda Khayrallah United States
Siqu Long Australia
Mihail Eric United States
Fengwei Zhou China
Gongbo Tang Sweden
Prajit Ramachandran United States
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Citations per field
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Jan Buys · 1×
Citations per year

Countries citing papers authored by Ramakanth Pasunuru

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ramakanth Pasunuru Line = papers co-authored together Ramakanth Pasunuru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 202135
3 202126
4 202324
5 201719
6 202217
7 202215
8 201815
9
201913
10 20236
11 20216
12 20225
13 20213
14 20242
15 20232
16 20232
17 20212
18 20202
19
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset.
20211
20 20251

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 264 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), Speech and dialogue systems (2 papers), Machine Learning and Data Classification (2 papers) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Artificial Intelligence (227 citations), Computer Vision and Pattern Recognition (69 citations), Information Systems (22 citations), Health Informatics (1 citation) and General Social Sciences (2 citations). Ramakanth Pasunuru has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Mohit Bansal, Han Guo, Aslı Çelikyılmaz, Veselin Stoyanov, Mengwen Liu, Markus Dreyer, Sujith Ravi, Jianfeng Gao, Ido Dagan and Srinivasan Iyer. Their work appears in journals such as Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Repository for Publications and Research Data (ETH Zurich).

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.

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