Sameer Pradhan
- Artificial Intelligence top 0.2%
- Topic Modeling 46
- Natural Language Processing Techniques 45
- Semantic Web and Ontologies 15
- Speech and dialogue systems 7
- Text Readability and Simplification 4
- Text and Document Classification Technologies 3
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- Biomedical Text Mining and Ontologies 14
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- Innovative Teaching and Learning Methods 2
- Co-authors
- Michal LipsonQianfan XuBradley S. SchmidtNianwen XueWayne WardJames MartinKadri HacıoğluDaniel Jurafsky
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsElectrical and Electronic Engineering
- Journals
- Computational Linguistics (1 paper)Schizophrenia Bulletin (1 paper)Biological Psychiatry (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sameer Pradhan
60 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 3.3k
- Atomic and Molecular Physics, and Optics 1.2k
- Electrical and Electronic Engineering 1.8k
- Computer Vision and Pattern Recognition 217
- Molecular Biology 662
Countries citing papers authored by Sameer Pradhan
This map shows the geographic impact of Sameer Pradhan'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 Sameer Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Pradhan more than expected).
Fields of papers citing papers by Sameer Pradhan
This network shows the impact of papers produced by Sameer Pradhan. 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 Sameer Pradhan. The network helps show where Sameer Pradhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sameer Pradhan, 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 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 8 | |
| 6 | The New Propbank: Aligning Propbank with AMR through POS Unification | 2018 | 6 |
| 7 | Proceedings of ACL-2016 System Demonstrations. | 2016 | 1 |
| 8 | 2016 | 19 | |
| 9 | 2016 | 74 | |
| 10 | 2014 | 152 | |
| 11 | Discovering Temporal Narrative Containers in Clinical Text | 2013 | 11 |
| 12 | Joint Conference on EMNLP and CoNLL - Shared Task | 2012 | 32 |
| 13 | CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes | 2012 | 376 |
| 14 | 2010 | 79 | |
| 15 | 2010 | 22 | |
| 16 | Micrometre-scale silicon electro-optic modulatorbreakdown → | 2005 | 1762 |
| 17 | Shallow Semantic Parsing using Support Vector Machines. | 2004 | 264 |
| 18 | Semantic Role Labeling by Tagging Syntactic Chunks | 2004 | 63 |
| 19 | 2004 | 13 | |
| 20 | Building a Foundation System for Producing Short Answers to Factual Questions. | 2002 | 6 |
About Sameer Pradhan
Sameer Pradhan is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Molecular Biology, having authored 61 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topic Modeling (46 papers), Natural Language Processing Techniques (45 papers), Semantic Web and Ontologies (15 papers), Biomedical Text Mining and Ontologies (14 papers), Speech and dialogue systems (7 papers), Text Readability and Simplification (4 papers), Text and Document Classification Technologies (3 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Electrical and Electronic Engineering (1.8k citations). Sameer Pradhan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michal Lipson, Qianfan Xu, Bradley S. Schmidt, Nianwen Xue, Wayne Ward, James Martin, Kadri Hacıoğlu, Daniel Jurafsky, Martha Palmer and Alessandro Moschitti. Their work appears in journals such as Computational Linguistics, Schizophrenia Bulletin, Biological Psychiatry, Language Resources and Evaluation and Journal of Biomedical Semantics.
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.