Martin Romacker

1.6k citations
51 papers · 1.1k · h-index 21

Impact in

Papers in

    • Semantic Web and Ontologies 37
    • Natural Language Processing Techniques 28
    • Topic Modeling 15
    • Biomedical Text Mining and Ontologies 32
    • Bioinformatics and Genomic Networks 5

Martin Romacker

48 papers receiving 938 citations

Peers

Martin Romacker
Comparison fields: 5 of 101
  • Artificial Intelligence 659
  • Information Systems and Management 81
  • Molecular Biology 680
  • Information Systems 146
  • Health Information Management 25
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Citations per year

Countries citing papers authored by Martin Romacker

Since Specialization
Citations

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

Fields of papers citing papers by Martin Romacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Romacker, 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 Martin Romacker Line = papers co-authored together Martin Romacker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 200297
3 200182
4 201462
5 201053
6 200647
7 199946
8
Part-whole reasoning in medical ontologies revisited--introducing SEP triplets into classification-based description logics.
199841
9 200838
10 199938
11 201937
12 200134
13 200034
14
Partonomic reasoning as taxonomic reasoning in medicine
199933
15 199932
16 201729
17
Modeling anatomical spatial relations with description logics.
200027
18
Automatic knowledge acquisition from medical texts.
199626
19 201423
20
Lean semantic interpretation
199923

About Martin Romacker

Martin Romacker is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Information Systems and Management and Computational Theory and Mathematics, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (37 papers), Biomedical Text Mining and Ontologies (32 papers), Natural Language Processing Techniques (28 papers), Topic Modeling (15 papers), Bioinformatics and Genomic Networks (5 papers), Service-Oriented Architecture and Web Services (3 papers), Scientific Computing and Data Management (3 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Artificial Intelligence (659 citations), Information Systems and Management (81 citations), Molecular Biology (680 citations), Information Systems (146 citations) and Health Information Management (25 citations). Martin Romacker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Udo Hahn, Stefan Schulz, Stefan Schulz, Fabio Rinaldi, S Schulz, Kaarel Kaljurand, Simon Clematide, Gerold Schneider, Ian Harrow and Michael Heß. Their work appears in journals such as Drug Discovery Today, International Journal of Medical Informatics, Journal of Biomedical Semantics, BMC Bioinformatics 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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