Sameer Pradhan

8.0k total citations · 1 hit paper
61 papers, 5.1k citations indexed

About

Sameer Pradhan is a scholar working on Artificial Intelligence, Molecular Biology and Developmental and Educational Psychology. According to data from OpenAlex, Sameer Pradhan has authored 61 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 14 papers in Molecular Biology and 3 papers in Developmental and Educational Psychology. Recurrent topics in Sameer Pradhan's work include Topic Modeling (46 papers), Natural Language Processing Techniques (45 papers) and Semantic Web and Ontologies (15 papers). Sameer Pradhan is often cited by papers focused on Topic Modeling (46 papers), Natural Language Processing Techniques (45 papers) and Semantic Web and Ontologies (15 papers). Sameer Pradhan collaborates with scholars based in United States, United Kingdom and Australia. Sameer Pradhan's co-authors include Bradley S. Schmidt, Qianfan Xu, Michal Lipson, Nianwen Xue, Wayne Ward, James Martin, Kadri Hacıoğlu, Daniel Jurafsky, Martha Palmer and Alessandro Moschitti and has published in prestigious journals such as Nature, Biological Psychiatry and Schizophrenia Bulletin.

In The Last Decade

Sameer Pradhan

60 papers receiving 4.6k citations

Hit Papers

Micrometre-scale silicon electro-optic modulator 2005 2026 2012 2019 2005 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sameer Pradhan United States 28 3.3k 1.8k 1.2k 662 274 61 5.1k
Heeyoung Lee Japan 19 806 0.2× 880 0.5× 372 0.3× 143 0.2× 266 1.0× 133 1.9k
Takeshi Yamada Japan 26 1.3k 0.4× 454 0.3× 222 0.2× 82 0.1× 672 2.5× 193 3.6k
Nicholas Pippenger United States 36 1.5k 0.5× 824 0.5× 84 0.1× 211 0.3× 29 0.1× 129 3.8k
Hui Fang United States 28 1.2k 0.4× 2.9k 1.6× 456 0.4× 188 0.3× 906 3.3× 167 7.6k
Mark G. Thompson United Kingdom 43 3.9k 1.2× 4.3k 2.4× 4.6k 3.7× 45 0.1× 730 2.7× 182 7.7k
Ralph C. Merkle United States 22 1.5k 0.5× 409 0.2× 328 0.3× 160 0.2× 331 1.2× 53 3.1k
Tao Gui China 26 1.1k 0.4× 1.2k 0.7× 447 0.4× 71 0.1× 53 0.2× 144 2.6k
Susan Stepney United Kingdom 21 1.0k 0.3× 292 0.2× 275 0.2× 279 0.4× 196 0.7× 171 1.9k
Jörg Kliewer United States 26 377 0.1× 1.7k 0.9× 632 0.5× 126 0.2× 112 0.4× 182 2.6k
Xiaoqi Zhou China 26 5.0k 1.5× 1.1k 0.6× 3.5k 2.9× 44 0.1× 177 0.6× 89 6.0k

Countries citing papers authored by Sameer Pradhan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sameer Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Sameer Pradhan. A scholar is included among the top collaborators of Sameer Pradhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sameer Pradhan. Sameer Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pradhan, Sameer, et al.. (2023). Structural, ferroelectric, and magnetic properties of room-temperature magnetodielectric GaFeO3. Journal of Materials Science Materials in Electronics. 34(3). 3 indexed citations
2.
Pradhan, Sameer, et al.. (2022). Joint Coreference Resolution for Zeros and non-Zeros in Arabic. 11–21. 2 indexed citations
3.
Tang, Sunny X., Yan Cong, Sunghye Cho, et al.. (2022). Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features. Schizophrenia Bulletin. 49(Supplement_2). S93–S103. 11 indexed citations
4.
O’Gorman, Tim, et al.. (2018). The New Propbank: Aligning Propbank with AMR through POS Unification. Language Resources and Evaluation. 6 indexed citations
5.
Mowery, Danielle L., Brett R. South, Lee M. Christensen, et al.. (2016). Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. Journal of Biomedical Semantics. 7(1). 43–43. 19 indexed citations
6.
Pradhan, Sameer & Marianna Apidianaki. (2016). Proceedings of ACL-2016 System Demonstrations.. Meeting of the Association for Computational Linguistics. 1 indexed citations
7.
Prasad, Rashmi, Bonnie Webber, Alan Lee, Sameer Pradhan, & Aravind K. Joshi. (2015). Bridging Sentential and Discourse-level Semantics through Clausal Adjuncts. Edinburgh Research Explorer. 64–69. 5 indexed citations
8.
Pradhan, Sameer, Noémie Elhadad, Wendy W. Chapman, Suresh Manandhar, & Guergana Savova. (2014). SemEval-2014 Task 7: Analysis of Clinical Text. 54–62. 152 indexed citations
9.
Miller, Timothy A., Steven Bethard, Dmitriy Dligach, et al.. (2013). Discovering Temporal Narrative Containers in Clinical Text. Meeting of the Association for Computational Linguistics. 18–26. 11 indexed citations
10.
Pradhan, Sameer, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, & Yuchen Zhang. (2012). CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes. Institutional Research Information System (Università degli Studi di Trento). 1–40. 376 indexed citations
11.
Pradhan, Sameer, Alessandro Moschitti, & Nianwen Xue. (2012). Joint Conference on EMNLP and CoNLL - Shared Task. Empirical Methods in Natural Language Processing. 32 indexed citations
12.
Manandhar, Suresh, Ioannis P. Klapaftis, Dmitriy Dligach, & Sameer Pradhan. (2010). SemEval-2010 Task 14: Word Sense Induction & Disambiguation. Zenodo (CERN European Organization for Nuclear Research). 63–68. 79 indexed citations
13.
Zaghouani, Wajdi, et al.. (2010). The Revised Arabic PropBank. 3(8). 222–226. 22 indexed citations
14.
Pradhan, Sameer, et al.. (2007). Unrestricted Coreference: Identifying Entities and Events in OntoNotes. 10 indexed citations
15.
Xu, Qianfan, Bradley S. Schmidt, Sameer Pradhan, & Michal Lipson. (2005). Micrometre-scale silicon electro-optic modulator. Nature. 435(7040). 325–327. 1762 indexed citations breakdown →
16.
Hacıoğlu, Kadri, Sameer Pradhan, Wayne Ward, James Martin, & Daniel Jurafsky. (2004). Semantic Role Labeling by Tagging Syntactic Chunks. 110–113. 63 indexed citations
17.
Pradhan, Sameer, Wayne Ward, Kadri Hacıoğlu, James Martin, & Daniel Jurafsky. (2004). Shallow Semantic Parsing using Support Vector Machines.. North American Chapter of the Association for Computational Linguistics. 233–240. 264 indexed citations
18.
Pradhan, Sameer, Kadri Hacıoğlu, Wayne Ward, James Martin, & Dan Jurafsky. (2004). Semantic role parsing: adding semantic structure to unstructured text. 629–632. 58 indexed citations
19.
Nielsen, Rodney D. & Sameer Pradhan. (2004). Mixing Weak Learners in Semantic Parsin. Empirical Methods in Natural Language Processing. 98(7). 80–87. 13 indexed citations
20.
Pradhan, Sameer, Steven Bethard, Wayne Ward, et al.. (2002). Building a Foundation System for Producing Short Answers to Factual Questions.. Text REtrieval Conference. 6 indexed citations

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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