Ted Pedersen
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text and Document Classification Technologies
- Information Systems top 0.5%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 84
- Topic Modeling 79
- Advanced Text Analysis Techniques 21
- Speech and dialogue systems 16
- Semantic Web and Ontologies 10
- Authorship Attribution and Profiling 8
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- Biomedical Text Mining and Ontologies 25
- Co-authors
- Satanjeev Banerjee (10 shared papers)Siddharth Patwardhan (10 shared papers)Serguei Pakhomov (16 shared papers)Christopher G. Chute (6 shared papers)Bridget T. McInnes (17 shared papers)Amruta Purandare (6 shared papers)Rada Mihalcea (4 shared papers)Anagha Kulkarni (11 shared papers)
- Journals
- Journal of Biomedical Informatics (4 papers)Language Resources and Evaluation (2 papers)Lecture notes in computer science (10 papers)Software Practice and Experience (1 paper)ZooKeys (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
Ted Pedersen
116 papers receiving 5.7k citations
Ted Pedersen's Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 5.3k
- Information Systems 1.1k
- Management Science and Operations Research 286
- Computer Vision and Pattern Recognition 477
- Molecular Biology 1.2k
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WordNet::Similarity Hit paper breakdown → | 2004 | 690 |
| 2 | An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet Hit paper breakdown → | 2002 | 642 |
| 3 | WordNet: similarity - measuring the relatedness of concepts Hit paper breakdown → | 2004 | 588 |
| 4 | Extended gloss overlaps as a measure of semantic relatedness Hit paper breakdown → | 2003 | 545 |
| 5 | 2006 | 437 | |
| 6 | 2003 | 382 | |
| 7 | Using WordNet Based Context Vectors to Estimate the Semantic Relatedness of Concepts | 2006 | 276 |
| 8 | 2003 | 189 | |
| 9 | 2003 | 145 | |
| 10 | Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study. | 2010 | 128 |
| 11 | UMLS-Interface and UMLS-Similarity : open source software for measuring paths and semantic similarity. | 2009 | 116 |
| 12 | Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces | 2004 | 114 |
| 13 | Maximizing Semantic Relatedness to Perform Word Sense Disambiguation | 2005 | 112 |
| 14 | 2005 | 111 | |
| 15 | 2001 | 104 | |
| 16 | 1997 | 103 | |
| 17 | 2000 | 103 | |
| 18 | Abbreviation and acronym disambiguation in clinical discourse. | 2005 | 73 |
| 19 | Offspring from Reproduction Problems: What Replication Failure Teaches Us | 2013 | 68 |
| 20 | 2008 | 65 |
About Ted Pedersen
Ted Pedersen is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Social Psychology and Language and Linguistics, having authored 121 papers that have together received 6.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (84 papers), Topic Modeling (79 papers), Biomedical Text Mining and Ontologies (25 papers), Advanced Text Analysis Techniques (21 papers), Speech and dialogue systems (16 papers), Data Mining Algorithms and Applications (10 papers), Semantic Web and Ontologies (10 papers) and Authorship Attribution and Profiling (8 papers). The work is most often cited by research in Artificial Intelligence (5.3k citations), Information Systems (1.1k citations), Management Science and Operations Research (286 citations), Computer Vision and Pattern Recognition (477 citations) and Molecular Biology (1.2k citations). Ted Pedersen has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Satanjeev Banerjee, Siddharth Patwardhan, Serguei Pakhomov, Christopher G. Chute, Bridget T. McInnes, Amruta Purandare, Rada Mihalcea, Anagha Kulkarni, Rebecca Bruce and Genevieve B. Melton. Their work appears in journals such as Journal of Biomedical Informatics, Language Resources and Evaluation, Lecture notes in computer science, Software Practice and Experience and ZooKeys.
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.