H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,142 132 World Ranking 8530 National Ranking 31

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Gene
  • Database

Dietrich Rebholz-Schuhmann mainly focuses on Information retrieval, Annotation, Text mining, Data science and Controlled vocabulary. His Information retrieval research incorporates elements of Sentence, Artificial intelligence, Natural language processing and Context. His research integrates issues of Document Structure Description, Set, Biomedical text mining and Conceptualization in his study of Annotation.

Dietrich Rebholz-Schuhmann combines subjects such as Biological network and Bioinformatics with his study of Data science. His Bioinformatics research includes elements of Information extraction, Textual information and Complex network. The various areas that Dietrich Rebholz-Schuhmann examines in his Controlled vocabulary study include Biological database and Thesaurus.

His most cited work include:

  • Text processing through Web services (199 citations)
  • EBIMed---text crunching to gather facts for proteins from Medline (190 citations)
  • Text-mining solutions for biomedical research: enabling integrative biology. (156 citations)

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

Information retrieval, Artificial intelligence, Natural language processing, Data science and Annotation are his primary areas of study. His studies deal with areas such as Text mining and Identification as well as Information retrieval. As part of the same scientific family, he usually focuses on Artificial intelligence, concentrating on Domain and intersecting with Biomedicine.

His work is dedicated to discovering how Natural language processing, Named-entity recognition are connected with Conditional random field and other disciplines. His Data science study frequently intersects with other fields, such as Biomedical text mining. As a member of one scientific family, Dietrich Rebholz-Schuhmann mostly works in the field of Annotation, focusing on UniProt and, on occasion, RDF.

He most often published in these fields:

  • Information retrieval (42.01%)
  • Artificial intelligence (31.95%)
  • Natural language processing (26.63%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (31.95%)
  • Cluster analysis (2.96%)
  • Linked data (4.14%)

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

Dietrich Rebholz-Schuhmann mostly deals with Artificial intelligence, Cluster analysis, Linked data, Computational biology and Information retrieval. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Gene expression. The Cluster analysis study combines topics in areas such as Semantics, World Wide Web and Natural language processing.

His study on Computational biology also encompasses disciplines like

  • Cancer which connect with Mechanism, Bioinformatics and Precision medicine,
  • Graph which intersects with area such as DNA microarray, Biomedicine and Genetic interaction. Dietrich Rebholz-Schuhmann performs multidisciplinary studies into Information retrieval and Visual interface in his work. The study incorporates disciplines such as Knowledge extraction and Data science in addition to Server.

Between 2015 and 2021, his most popular works were:

  • DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images (36 citations)
  • The digital revolution in phenotyping (36 citations)
  • DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images (22 citations)

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

  • Artificial intelligence
  • Gene
  • Database

Dietrich Rebholz-Schuhmann spends much of his time researching Pneumonia, Radiography, F1 score, Clinical Practice and X ray image. Dietrich Rebholz-Schuhmann incorporates a variety of subjects into his writings, including Pneumonia, Coronavirus disease 2019, Radiology, Medical physics, Deep neural networks and Predictive value.

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

Text processing through Web services

Dietrich Rebholz-Schuhmann;Miguel Arregui;Sylvain Gaudan;Harald Kirsch.
Bioinformatics (2008)

306 Citations

EBIMed---text crunching to gather facts for proteins from Medline

Dietrich Rebholz-Schuhmann;Harald Kirsch;Miguel Arregui;Sylvain Gaudan.
Bioinformatics (2007)

259 Citations

Text-mining solutions for biomedical research: enabling integrative biology.

Dietrich Rebholz-Schuhmann;Anika Oellrich;Robert Hoehndorf.
Nature Reviews Genetics (2012)

243 Citations

Facts from text--is text mining ready to deliver?

Dietrich Rebholz-Schuhmann;Harald Kirsch;Francisco Couto.
PLOS Biology (2005)

197 Citations

Automatic recognition of conceptualization zones in scientific articles and two life science applications

Maria Liakata;Shyamasree Saha;Simon Dobnik;Colin Batchelor.
Bioinformatics (2012)

168 Citations

Assessment of disease named entity recognition on a corpus of annotated sentences

Antonio Jimeno;Ernesto Jimenez-Ruiz;Vivian Lee;Sylvain Gaudan.
BMC Bioinformatics (2008)

157 Citations

Text mining for biology - the way forward: opinions from leading scientists

Russ B. Altman;Casey M. Bergman;Judith A. Blake;Christian Blaschke.
Genome Biology (2008)

131 Citations

CALBC silver standard corpus.

Dietrich Rebholz-Schuhmann;Antonio José Jimeno Yepes;Erik M Van Mulligen;Ning Kang.
Journal of Bioinformatics and Computational Biology (2010)

130 Citations

Resolving abbreviations to their senses in Medline

S. Gaudan;H. Kirsch;D. Rebholz-Schuhmann.
Bioinformatics (2005)

126 Citations

MeSH Up

Dolf Trieschnigg;Piotr Pezik;Vivian Lee;Franciska de Jong.
Bioinformatics (2009)

120 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Dietrich Rebholz-Schuhmann

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

Publications: 66

Sophia Ananiadou

Sophia Ananiadou

University of Manchester

Publications: 59

Zhiyong Lu

Zhiyong Lu

National Institutes of Health

Publications: 40

Karin Verspoor

Karin Verspoor

University of Melbourne

Publications: 34

Paul N. Schofield

Paul N. Schofield

University of Cambridge

Publications: 26

Patrick Ruch

Patrick Ruch

Swiss Institute of Bioinformatics

Publications: 24

Jun'ichi Tsujii

Jun'ichi Tsujii

National Institute of Advanced Industrial Science and Technology

Publications: 23

Michel Dumontier

Michel Dumontier

Maastricht University

Publications: 20

K. Bretonnel Cohen

K. Bretonnel Cohen

University of Colorado Denver

Publications: 19

Ulf Leser

Ulf Leser

Humboldt-Universität zu Berlin

Publications: 17

Anna Korhonen

Anna Korhonen

University of Cambridge

Publications: 17

Alfonso Valencia

Alfonso Valencia

Barcelona Supercomputing Center

Publications: 16

W. John Wilbur

W. John Wilbur

National Institutes of Health

Publications: 16

Sören Auer

Sören Auer

University of Hannover

Publications: 14

Ernesto Jiménez-Ruiz

Ernesto Jiménez-Ruiz

City, University of London

Publications: 14

Udo Hahn

Udo Hahn

Friedrich Schiller University Jena

Publications: 14

Something went wrong. Please try again later.