Daniel Schober

32 papers receiving 709 citations

Peers

Daniel Schober
Comparison fields: 5 of 110
  • Information Systems and Management 104
  • Artificial Intelligence 360
  • Molecular Biology 579
  • Health Information Management 37
  • Information Systems 139
Replace Frank W. Hartel with:
Frank W. Hartel United States
Martin Romacker Germany
Paul R. Alexander United States
Csongor Nyulas United States
Steffen Schulze-Kremer Germany
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 2011104
3
Towards a Reference Terminology for Ontology Research and Development in the Biomedical Domain
200691
4 201990
5 200956
6 202052
7 200742
8 200830
9 201023
10
The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus.
201021
11
The OWL of Biomedical Investigations.
200818
12 202118
13 201118
14 201214
15 201014
16 201111
17
Teaching Good Biomedical Ontology Design
201210
18 20128
19 20118
20 20098

About Daniel Schober

Daniel Schober is a scholar working on Information Systems and Management, Artificial Intelligence, Molecular Biology, Information Systems and Health Information Management, having authored 33 papers that have together received 772 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (23 papers), Bioinformatics and Genomic Networks (5 papers), Scientific Computing and Data Management (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Service-Oriented Architecture and Web Services (4 papers), Natural Language Processing Techniques (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Information Systems and Management (104 citations), Artificial Intelligence (360 citations), Molecular Biology (579 citations), Health Information Management (37 citations) and Information Systems (139 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, Mélanie Courtot, Ryan R. Brinkman, Alan Ruttenberg, James Malone, Allyson Lister and F. Gibson. Their work appears in journals such as BMC Bioinformatics, Journal of Biomedical Semantics, Applied Ontology, Metabolomics 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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