Ted Pedersen
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Information Systems top 1%
Papers in
-
- Natural Language Processing Techniques 76
- Topic Modeling 72
- Advanced Text Analysis Techniques 19
- Speech and dialogue systems 12
- Semantic Web and Ontologies 10
- Text and Document Classification Technologies 7
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- Biomedical Text Mining and Ontologies 25
- Co-authors
- Siddharth Patwardhan (9 shared papers)Satanjeev Banerjee (7 shared papers)Serguei Pakhomov (16 shared papers)Bridget T. McInnes (17 shared papers)Christopher G. Chute (6 shared papers)Rada Mihalcea (4 shared papers)Rebecca Bruce (6 shared papers)Amruta Purandare (5 shared papers)
- Journals
- Journal of Biomedical Informatics (4 papers)Language Resources and Evaluation (2 papers)Computational Linguistics (1 paper)ZooKeys (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Ted Pedersen
102 papers receiving 3.7k citations
Ted Pedersen's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 3.6k
- Information Systems 676
- Molecular Biology 1.1k
- Computer Vision and Pattern Recognition 317
- Health Information Management 66
Countries citing papers authored by Ted Pedersen
This map shows the geographic impact of Ted Pedersen'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 Ted Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Pedersen more than expected).
Fields of papers citing papers by Ted Pedersen
This network shows the impact of papers produced by Ted Pedersen. 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 Ted Pedersen. The network helps show where Ted Pedersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Pedersen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WordNet: similarity - measuring the relatedness of concepts Hit paper breakdown → | 2004 | 550 |
| 2 | WordNet::Similarity Hit paper breakdown → | 2004 | 525 |
| 3 | Extended gloss overlaps as a measure of semantic relatedness | 2003 | 456 |
| 4 | 2006 | 381 | |
| 5 | Using WordNet Based Context Vectors to Estimate the Semantic Relatedness of Concepts | 2006 | 227 |
| 6 | 2003 | 133 | |
| 7 | Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study. | 2010 | 116 |
| 8 | UMLS-Interface and UMLS-Similarity : open source software for measuring paths and semantic similarity. | 2009 | 109 |
| 9 | Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces | 2004 | 100 |
| 10 | 1997 | 95 | |
| 11 | Maximizing Semantic Relatedness to Perform Word Sense Disambiguation | 2005 | 89 |
| 12 | 2000 | 88 | |
| 13 | 2001 | 83 | |
| 14 | Abbreviation and acronym disambiguation in clinical discourse. | 2005 | 63 |
| 15 | Offspring from Reproduction Problems: What Replication Failure Teaches Us | 2013 | 60 |
| 16 | 2008 | 57 | |
| 17 | 2013 | 54 | |
| 18 | 2010 | 53 | |
| 19 | SenseRelate targetword: a generalized framework for word sense disambiguation | 2005 | 43 |
| 20 | 2005 | 43 |
About Ted Pedersen
Ted Pedersen is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Social Psychology and Language and Linguistics, having authored 108 papers that have together received 4.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (76 papers), Topic Modeling (72 papers), Biomedical Text Mining and Ontologies (25 papers), Advanced Text Analysis Techniques (19 papers), Speech and dialogue systems (12 papers), Semantic Web and Ontologies (10 papers), Data Mining Algorithms and Applications (10 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Information Systems (676 citations), Molecular Biology (1.1k citations), Computer Vision and Pattern Recognition (317 citations) and Health Information Management (66 citations). Ted Pedersen has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Siddharth Patwardhan, Satanjeev Banerjee, Serguei Pakhomov, Bridget T. McInnes, Christopher G. Chute, Rada Mihalcea, Rebecca Bruce, Amruta Purandare, Genevieve B. Melton and Anagha Kulkarni. Their work appears in journals such as Journal of Biomedical Informatics, Language Resources and Evaluation, Computational Linguistics, ZooKeys and Physical Review Letters.
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.