Varun Manjunatha
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 7
- Domain Adaptation and Few-Shot Learning 3
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- Multimodal Machine Learning Applications 6
- Handwritten Text Recognition Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 2
- Co-authors
- Mohit Iyyer (4 shared papers)Jordan Boyd‐Graber (2 shared papers)Hal Daumé (2 shared papers)Rajiv Jain (7 shared papers)Vlad I. Morariu (8 shared papers)Curtis Wigington (3 shared papers)Vishal M. Patel (1 shared paper)Vicente Ordóñez (1 shared paper)
- Journals
- ACM Transactions on Accessible Computing (1 paper)Indonesian Journal of Electrical Engineering and Computer Science (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- United StatesMexicoIndia
In The Last Decade
Varun Manjunatha
14 papers receiving 828 citations
Varun Manjunatha's Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 689
- Computer Vision and Pattern Recognition 246
- Management Science and Operations Research 48
- Information Systems 84
- Signal Processing 38
Countries citing papers authored by Varun Manjunatha
This map shows the geographic impact of Varun Manjunatha'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 Varun Manjunatha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Manjunatha more than expected).
Fields of papers citing papers by Varun Manjunatha
This network shows the impact of papers produced by Varun Manjunatha. 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 Varun Manjunatha. The network helps show where Varun Manjunatha may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Manjunatha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Unordered Composition Rivals Syntactic Methods for Text Classification Hit paper breakdown → | 2015 | 452 |
| 2 | 2020 | 121 | |
| 3 | 2021 | 72 | |
| 4 | 2021 | 68 | |
| 5 | 2021 | 45 | |
| 6 | 2017 | 43 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2015 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2021 | 0 |
About Varun Manjunatha
Varun Manjunatha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Occupational Therapy, having authored 19 papers that have together received 874 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Handwritten Text Recognition Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (689 citations), Computer Vision and Pattern Recognition (246 citations), Management Science and Operations Research (48 citations), Information Systems (84 citations) and Signal Processing (38 citations). Varun Manjunatha has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Mohit Iyyer, Jordan Boyd‐Graber, Hal Daumé, Rajiv Jain, Vlad I. Morariu, Curtis Wigington, Vishal M. Patel, Vicente Ordóñez, Pramuditha Perera and Jiuxiang Gu. Their work appears in journals such as ACM Transactions on Accessible Computing, Indonesian Journal of Electrical Engineering and Computer Science and Findings of the Association for Computational Linguistics: ACL 2022.
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.