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 31 Citations 3,499 121 World Ranking 7716 National Ranking 20

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Artificial intelligence
  • Genetics

His main research concerns Ontology, Open Biomedical Ontologies, Data science, Ontology and IDEF5. While the research belongs to areas of Open Biomedical Ontologies, Robert Hoehndorf spends his time largely on the problem of Interoperability, intersecting his research to questions surrounding Data mining. His work in Data science tackles topics such as Text mining which are related to areas like Knowledge base, Complex network, Textual information and Information extraction.

Robert Hoehndorf interconnects Domain, Field, Ontology components, Web Ontology Language and Linked data in the investigation of issues within Ontology. His work carried out in the field of Web Ontology Language brings together such families of science as Automated reasoning and OBO Foundry. His IDEF5 research is multidisciplinary, relying on both Biomedicine, Metadata, Data access and Knowledge representation and reasoning.

His most cited work include:

  • PhenomeNET: a whole-phenome approach to disease gene discovery (183 citations)
  • Text-mining solutions for biomedical research: enabling integrative biology. (156 citations)
  • DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier. (144 citations)

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

Robert Hoehndorf mainly investigates Ontology, Computational biology, Phenotype, Open Biomedical Ontologies and Information retrieval. His studies in Ontology integrate themes in fields like Ontology, Automated reasoning, Data science and Natural language processing. He combines subjects such as Infectious disease, Annotation, Bioinformatics, Identification and Gene with his study of Computational biology.

His Phenotype research is multidisciplinary, incorporating perspectives in Disease and Model organism. His Open Biomedical Ontologies research is multidisciplinary, incorporating elements of Ontology components and Interoperability. His SPARQL study in the realm of Information retrieval interacts with subjects such as Axiom.

He most often published in these fields:

  • Ontology (52.97%)
  • Computational biology (29.24%)
  • Phenotype (27.12%)

What were the highlights of his more recent work (between 2019-2021)?

  • Ontology (52.97%)
  • Open Biomedical Ontologies (22.46%)
  • Artificial intelligence (17.37%)

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

His primary areas of study are Ontology, Open Biomedical Ontologies, Artificial intelligence, Computational biology and Phenotype. His work carried out in the field of Ontology brings together such families of science as Set, Metadata, Semantic similarity and Automated reasoning. His Open Biomedical Ontologies research includes elements of Ontology, Consistency and Interoperability.

Robert Hoehndorf has included themes like Machine learning and Natural language processing in his Artificial intelligence study. The concepts of his Computational biology study are interwoven with issues in Artificial neural network, Graph, Disease and Epigenetics. His Phenotype research is included under the broader classification of Gene.

Between 2019 and 2021, his most popular works were:

  • Machine learning with biomedical ontologies (9 citations)
  • Semantic similarity and machine learning with ontologies. (8 citations)
  • Formal axioms in biomedical ontologies improve analysis and interpretation of associated data. (7 citations)

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

  • Gene
  • Artificial intelligence
  • Genetics

Robert Hoehndorf mainly focuses on Open Biomedical Ontologies, Ontology, Artificial intelligence, Natural language processing and Set. His research in Open Biomedical Ontologies intersects with topics in Graph, Model organism, Phenotype, Expression and Anatomical location. He interconnects Consistency, Domain knowledge and Ontology in the investigation of issues within Ontology.

His Ontology study combines topics from a wide range of disciplines, such as Information retrieval and Interoperability. The study incorporates disciplines such as Automated reasoning and Disease Ontology in addition to Natural language processing. His Automated reasoning research is multidisciplinary, incorporating perspectives in Classifier, Domain, Annotation and Identification.

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-mining solutions for biomedical research: enabling integrative biology.

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

243 Citations

PhenomeNET: a whole-phenome approach to disease gene discovery

Robert Hoehndorf;Paul Schofield;Georgios Vasileios Gkoutos.
Nucleic Acids Research (2011)

213 Citations

DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.

Maxat Kulmanov;Mohammed Asif Khan;Robert Hoehndorf.
Bioinformatics (2018)

204 Citations

The role of ontologies in biological and biomedical research: a functional perspective

Robert Hoehndorf;Paul N. Schofield;Georgios V. Gkoutos.
Briefings in Bioinformatics (2015)

191 Citations

General Formal Ontology (GFO) - A Foundational Ontology Integrating Objects and Processes [Version 1.0]

Heinrich Herre;Barbara Heller;Patryk Burek;Robert Hoehndorf.
(2006)

183 Citations

The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery

Michel Dumontier;Michel Dumontier;Christopher J. O. Baker;Joachim Baran;Alison Callahan.
Journal of Biomedical Semantics (2014)

153 Citations

Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics.

Martin Hrabě de Angelis;George Nicholson;Mohammed Selloum;Jacqueline K White.
Nature Genetics (2015)

110 Citations

Evaluation of research in biomedical ontologies

Robert Hoehndorf;Michel Dumontier;Georgios V. Gkoutos.
Briefings in Bioinformatics (2013)

101 Citations

Neuro-symbolic representation learning on biological knowledge graphs.

Mona Alshahrani;Mohammad Asif Khan;Omar Maddouri;Omar Maddouri;Akira R Kinjo.
Bioinformatics (2017)

97 Citations

The Units Ontology: a tool for integrating units of measurement in science

Georgios V. Gkoutos;Paul N. Schofield;Robert Hoehndorf.
Database (2012)

92 Citations

Best Scientists Citing Robert Hoehndorf

Michel Dumontier

Michel Dumontier

Maastricht University

Publications: 40

Christopher J. Mungall

Christopher J. Mungall

Lawrence Berkeley National Laboratory

Publications: 40

Damian Smedley

Damian Smedley

Queen Mary University of London

Publications: 34

Melissa A. Haendel

Melissa A. Haendel

Oregon Health & Science University

Publications: 27

Deborah L. McGuinness

Deborah L. McGuinness

Rensselaer Polytechnic Institute

Publications: 27

Dietrich Rebholz-Schuhmann

Dietrich Rebholz-Schuhmann

National University of Ireland, Galway

Publications: 26

Peter N. Robinson

Peter N. Robinson

University of Connecticut

Publications: 24

Suzanna E. Lewis

Suzanna E. Lewis

Lawrence Berkeley National Laboratory

Publications: 19

Helen Parkinson

Helen Parkinson

European Bioinformatics Institute

Publications: 19

Barry Smith

Barry Smith

University at Buffalo, State University of New York

Publications: 19

Steve D.M. Brown

Steve D.M. Brown

Medical Research Council

Publications: 16

Yann Herault

Yann Herault

University of Strasbourg

Publications: 16

Paul N. Schofield

Paul N. Schofield

University of Cambridge

Publications: 15

Franz Baader

Franz Baader

TU Dresden

Publications: 15

Kevin C K Lloyd

Kevin C K Lloyd

University of California, Davis

Publications: 14

Vladimir B. Bajic

Vladimir B. Bajic

King Abdullah University of Science and Technology

Publications: 14

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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