Daniel Schober

2.8k citations
34 papers · 856 · h-index 16

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 20
    • Metabolomics and Mass Spectrometry Studies 5
    • Bioinformatics and Genomic Networks 4
    • Semantic Web and Ontologies 18
    • Natural Language Processing Techniques 2

Daniel Schober

34 papers receiving 789 citations

Peers

Daniel Schober
Comparison fields: 5 of 109
  • Information Systems and Management 101
  • Artificial Intelligence 321
  • Molecular Biology 577
  • Health Information Management 35
  • Information Systems 142
Replace Frank W. Hartel with:
Frank W. Hartel United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Schober

Since Specialization
Citations

This map shows the geographic impact of Daniel Schober'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 Daniel Schober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schober more than expected).

Fields of papers citing papers by Daniel Schober

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Schober. 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 Daniel Schober. The network helps show where Daniel Schober may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Schober, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Schober Line = papers co-authored together Daniel Schober links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015116
2 2011112
3
Towards a Reference Terminology for Ontology Research and Development in the Biomedical Domain
2006102
4 201995
5 200962
6 202057
7 200743
8 200831
9 201024
10
The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus.
201023
11
The OWL of Biomedical Investigations.
200821
12 201221
13 201118
14 202118
15 201116
16 201016
17
Teaching Good Biomedical Ontology Design
201211
18 200910
19 20169
20 20129

About Daniel Schober

Daniel Schober is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Information Systems and Management and Computer Networks and Communications, having authored 34 papers that have together received 856 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Semantic Web and Ontologies (18 papers), Scientific Computing and Data Management (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bioinformatics and Genomic Networks (4 papers), Service-Oriented Architecture and Web Services (4 papers), Research Data Management Practices (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Information Systems and Management (101 citations), Artificial Intelligence (321 citations), Molecular Biology (577 citations), Health Information Management (35 citations) and Information Systems (142 citations). Daniel Schober has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Barry Smith, Werner Ceusters, Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Ryan R. Brinkman, Mélanie Courtot, Alan Ruttenberg, James Malone, F. Gibson and Allyson Lister. Their work appears in journals such as Journal of Biomedical Semantics, BMC Bioinformatics, Metabolomics, Applied Ontology and Bioinformatics.

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.

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