D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 5,474 101 World Ranking 5089 National Ranking 2507

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Information retrieval
  • Natural language processing

His primary areas of study are Information retrieval, Artificial intelligence, Natural language processing, Unified Medical Language System and Text mining. The Information retrieval study which covers Biomedicine that intersects with Natural language and Field. His Artificial intelligence study often links to related topics such as Machine learning.

In the subject of general Natural language processing, his work in Part of speech and Biomedical text is often linked to Health informatics and Molecular binding, thereby combining diverse domains of study. His Unified Medical Language System research incorporates elements of Web search query, Web query classification, Sargable, Query optimization and Semantics. Thomas C. Rindflesch works mostly in the field of Text mining, limiting it down to concerns involving Search engine indexing and, occasionally, Index, State, Word-sense disambiguation and Metathesaurus Concept.

His most cited work include:

  • EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature (364 citations)
  • MedPost: a part-of-speech tagger for bioMedical text (205 citations)
  • SemMedDB: a PubMed-scale repository of biomedical semantic predications (189 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Information retrieval, Artificial intelligence, Natural language processing, Unified Medical Language System and Semantics. His studies deal with areas such as Text mining and Biomedicine as well as Information retrieval. Many of his studies on Artificial intelligence apply to Machine learning as well.

He interconnects Controlled vocabulary and Domain knowledge in the investigation of issues within Natural language processing. His Unified Medical Language System research is multidisciplinary, relying on both Parsing and Search engine indexing. In his work, Semantic network is strongly intertwined with Knowledge extraction, which is a subfield of Semantics.

He most often published in these fields:

  • Information retrieval (59.13%)
  • Artificial intelligence (53.91%)
  • Natural language processing (49.57%)

What were the highlights of his more recent work (between 2014-2018)?

  • Information retrieval (59.13%)
  • Artificial intelligence (53.91%)
  • Semantics (25.22%)

In recent papers he was focusing on the following fields of study:

Thomas C. Rindflesch mainly investigates Information retrieval, Artificial intelligence, Semantics, Natural language processing and Biomedicine. His work in the fields of Information retrieval, such as Literature-based discovery, overlaps with other areas such as Graph database. His work on Proper noun is typically connected to Event, Component and Scope as part of general Artificial intelligence study, connecting several disciplines of science.

His Semantics study combines topics from a wide range of disciplines, such as Recommender system and World Wide Web. His work on Syntax as part of general Natural language processing study is frequently connected to Polarity, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His studies in Biomedicine integrate themes in fields like Field, Biomedical text mining, Data science and Bibliographic database.

Between 2014 and 2018, his most popular works were:

  • Context-driven automatic subgraph creation for literature-based discovery (53 citations)
  • Biomedical question answering using semantic relations. (37 citations)
  • Link Prediction on a Network of Co-occurring MeSH Terms: Towards Literature-based Discovery (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Natural language processing
  • Information retrieval

Thomas C. Rindflesch focuses on Semantics, Artificial intelligence, Natural language processing, Data mining and Information retrieval. His study in the field of Lexical semantics is also linked to topics like Research literature. The study incorporates disciplines such as Machine learning and Complex network in addition to Artificial intelligence.

Many of his research projects under Natural language processing are closely connected to Rank and Heuristics with Rank and Heuristics, tying the diverse disciplines of science together. His Data mining study incorporates themes from Adverse effect, Pharmacovigilance, Pharmacogenomics and Computational biology. His work carried out in the field of Information retrieval brings together such families of science as Biomedicine and Knowledge extraction.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature

Thomas C. Rindflesch;Lorraine Tanabe;John N. Weinstein;Lawrence Hunter.
pacific symposium on biocomputing (1999)

574 Citations

MedPost: a part-of-speech tagger for bioMedical text

L. Smith;T. Rindflesch;W. J. Wilbur.
Bioinformatics (2004)

292 Citations

SemMedDB: a PubMed-scale repository of biomedical semantic predications

Halil Kilicoglu;Dongwook Shin;Marcelo Fiszman;Graciela Rosemblat.
Bioinformatics (2012)

259 Citations

The NLM Indexing Initiative.

Alan R. Aronson;Olivier Bodenreider;H. Florence Chang;Susanne M. Humphrey.
american medical informatics association annual symposium (2000)

217 Citations

Query expansion using the UMLS Metathesaurus.

Alan R. Aronson;Thomas C. Rindflesch.
conference of american medical informatics association (1997)

209 Citations

Exploiting Semantic Relations for Literature-Based Discovery

Dimitar Hristovski;Carol Friedman;Thomas C Rindflesch;Borut Peterlin.
american medical informatics association annual symposium (2006)

197 Citations

Abstraction summarization for managing the biomedical research literature

Marcelo Fiszman;Thomas C. Rindflesch;Halil Kilicoglu.
north american chapter of the association for computational linguistics (2004)

160 Citations

Extracting Molecular Binding Relationships from Biomedical Text

Thomas C. Rindflesch;Jayant V. Rajan;Lawrence Hunter.
conference on applied natural language processing (2000)

136 Citations

Extracting semantic predications from Medline citations for pharmacogenomics

Caroline B Ahlers;Marcelo Fiszman;Dina Demner-Fushman;François-Michel Lang.
pacific symposium on biocomputing (2006)

135 Citations

Exploiting a large thesaurus for information retrieval

Alan R. Aronson;Thomas C. Rindflesch;Allen C. Browne.
multimedia information retrieval (1994)

134 Citations

Best Scientists Citing Thomas C. Rindflesch

Alan R. Aronson

Alan R. Aronson

National Institutes of Health

Publications: 41

Carol Friedman

Carol Friedman

Columbia University

Publications: 37

Hongfang Liu

Hongfang Liu

Mayo Clinic

Publications: 37

Dina Demner-Fushman

Dina Demner-Fushman

United States National Library of Medicine

Publications: 35

W. John Wilbur

W. John Wilbur

National Institutes of Health

Publications: 31

Min Song

Min Song

Yonsei University

Publications: 22

Hua Xu

Hua Xu

The University of Texas Health Science Center at Houston

Publications: 21

Mark Stevenson

Mark Stevenson

University of Melbourne

Publications: 19

Pierre Zweigenbaum

Pierre Zweigenbaum

University of Paris-Saclay

Publications: 19

Sophia Ananiadou

Sophia Ananiadou

University of Manchester

Publications: 19

Olivier Bodenreider

Olivier Bodenreider

National Institutes of Health

Publications: 19

Zhiyong Lu

Zhiyong Lu

National Institutes of Health

Publications: 19

K. Bretonnel Cohen

K. Bretonnel Cohen

University of Colorado Denver

Publications: 18

Hong Yu

Hong Yu

Shanghai Jiao Tong University

Publications: 17

Udo Hahn

Udo Hahn

Friedrich Schiller University Jena

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Wendy W. Chapman

Wendy W. Chapman

University of Melbourne

Publications: 16

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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