Pradeep Muthukrishnan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 5
- Topic Modeling 5
- Semantic Web and Ontologies 3
- Text and Document Classification Technologies 3
- Advanced Graph Neural Networks 2
- Advanced Text Analysis Techniques 2
-
- Complex Network Analysis Techniques 3
- Co-authors
- Dragomir Radev (8 shared papers)Vahed Qazvinian (3 shared papers)Amjad Abu-Jbara (1 shared paper)Murillo Campello (2 shared papers)Bryan R. Gibson (1 shared paper)Qiaozhu Mei (2 shared papers)Daniel Ferrés (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Journal of Financial and Quantitative Analysis (1 paper)Journal of the Association for Information Science and Technology (1 paper)SSRN Electronic Journal (2 papers)
- Partner nations
- United StatesUruguay
In The Last Decade
Pradeep Muthukrishnan
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 262
- Statistics, Probability and Uncertainty 26
- Statistical and Nonlinear Physics 42
- Information Systems 75
- General Social Sciences 10
Countries citing papers authored by Pradeep Muthukrishnan
This map shows the geographic impact of Pradeep Muthukrishnan'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 Pradeep Muthukrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Muthukrishnan more than expected).
Fields of papers citing papers by Pradeep Muthukrishnan
This network shows the impact of papers produced by Pradeep Muthukrishnan. 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 Pradeep Muthukrishnan. The network helps show where Pradeep Muthukrishnan may publish in the future.
Co-authors
The 7 scholars most cited alongside Pradeep Muthukrishnan, 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 | 2013 | 146 | |
| 2 | 2009 | 85 | |
| 3 | 2015 | 41 | |
| 4 | 2020 | 31 | |
| 5 | 2023 | 20 | |
| 6 | 2010 | 17 | |
| 7 | Simultaneous similarity learning and feature-weight learning for document clustering | 2011 | 8 |
| 8 | The ACL Anthology Network | 2009 | 4 |
| 9 | Algorithms for Information Retrieval and Natural Language Processing tasks | 2008 | 1 |
| 10 | 2008 | 1 | |
| 11 | 2023 | 0 |
About Pradeep Muthukrishnan
Pradeep Muthukrishnan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, General Health Professions, Economics and Econometrics and Molecular Biology, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Complex Network Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Text and Document Classification Technologies (3 papers), Labor market dynamics and wage inequality (2 papers), Advanced Graph Neural Networks (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (262 citations), Statistics, Probability and Uncertainty (26 citations), Statistical and Nonlinear Physics (42 citations), Information Systems (75 citations) and General Social Sciences (10 citations). Pradeep Muthukrishnan has collaborated with scholars based in United States and Uruguay. Frequent co-authors include Dragomir Radev, Vahed Qazvinian, Amjad Abu-Jbara, Murillo Campello, Bryan R. Gibson, Qiaozhu Mei and Daniel Ferrés. Their work appears in journals such as Language Resources and Evaluation, Journal of Financial and Quantitative Analysis, Journal of the Association for Information Science and Technology and SSRN Electronic Journal.
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.