Pratyush Kumar
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- AI in Service Interactions
- Speech Recognition and Synthesis
- Hate Speech and Cyberbullying Detection
Papers in
-
- Parallel Computing and Optimization Techniques 7
- Real-Time Systems Scheduling 5
- Co-authors
- Mohit JainRamachandra KotaShwetak PatelMitesh M. KhapraAnoop KunchukuttanDivyanshu KakwaniSatish GollaLothar Thiele
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Natural Language Engineering (1 paper)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Pratyush Kumar
36 papers receiving 827 citations
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 132
- Artificial Intelligence 613
- Health Informatics 15
- Hardware and Architecture 66
- Applied Psychology 44
Countries citing papers authored by Pratyush Kumar
This map shows the geographic impact of Pratyush Kumar'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 Pratyush Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratyush Kumar more than expected).
Fields of papers citing papers by Pratyush Kumar
This network shows the impact of papers produced by Pratyush Kumar. 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 Pratyush Kumar. The network helps show where Pratyush Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pratyush Kumar, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 64 | |
| 12 | 2022 | 0 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 197 | |
| 15 | 2018 | 51 | |
| 16 | 2014 | 4 | |
| 17 | 2014 | 3 | |
| 18 | 2011 | 25 | |
| 19 | 2011 | 3 | |
| 20 | 2008 | 37 |
About Pratyush Kumar
Pratyush Kumar is a scholar working on Hardware and Architecture, Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 41 papers that have together received 875 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers), Parallel Computing and Optimization Techniques (7 papers), Speech Recognition and Synthesis (7 papers), Speech and dialogue systems (6 papers), Real-Time Systems Scheduling (5 papers), Distributed systems and fault tolerance (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (132 citations), Artificial Intelligence (613 citations), Health Informatics (15 citations), Hardware and Architecture (66 citations) and Applied Psychology (44 citations). Pratyush Kumar has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Mohit Jain, Ramachandra Kota, Shwetak Patel, Mitesh M. Khapra, Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Lothar Thiele, Pearl Pu and Li Chen. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Natural Language Engineering, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, ACM Transactions on Embedded Computing Systems and ACM Computing Surveys.
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.