William A. Baumgartner

2.7k citations
33 papers · 1.3k · h-index 18

Impact in

    • Topic Modeling
    • Semantic Web and Ontologies
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Biomedical Text Mining and Ontologies
    • Bioinformatics and Genomic Networks
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies

Papers in

    • Biomedical Text Mining and Ontologies 30
    • Bioinformatics and Genomic Networks 8
    • Machine Learning in Bioinformatics 3
    • Semantic Web and Ontologies 15
    • Topic Modeling 13
    • Natural Language Processing Techniques 9
    • Advanced Text Analysis Techniques 3

William A. Baumgartner

33 papers receiving 1.3k citations

Peers

William A. Baumgartner
Comparison fields: 5 of 86
  • Artificial Intelligence 867
  • Molecular Biology 1.1k
  • Information Systems and Management 53
  • Computational Theory and Mathematics 66
  • Genetics 109
Replace James G. Mork with:
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Citations per field
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Citations per year

Countries citing papers authored by William A. Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by William A. Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Baumgartner. 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 William A. Baumgartner. The network helps show where William A. Baumgartner may publish in the future.

Co-authors

The 25 scholars most cited alongside William A. Baumgartner, 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 William A. Baumgartner Line = papers co-authored together William A. Baumgartner 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 2012177
2 2007159
3 2007107
4 201295
5 200892
6 201484
7 201281
8 200961
9 201546
10 200942
11 200942
12 200839
13 201737
14
Long survival with giant cell myocarditis.
199335
15 200535
16 200832
17 200821
18 201120
19 200716
20 201014

About William A. Baumgartner

William A. Baumgartner is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Cardiology and Cardiovascular Medicine and Information Systems, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (30 papers), Semantic Web and Ontologies (15 papers), Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Bioinformatics (3 papers), Advanced Text Analysis Techniques (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Artificial Intelligence (867 citations), Molecular Biology (1.1k citations), Information Systems and Management (53 citations), Computational Theory and Mathematics (66 citations) and Genetics (109 citations). William A. Baumgartner has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Lawrence Hunter, Kevin Bretonnel Cohen, Karin Verspoor, Michael Bada, H. L. Johnson, George K. Acquaah-Mensah, Lynne M. Fox, J. Gregory Caporaso, Haibin Liu and Tom Christiansen. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLoS Computational Biology and Journal of Bioinformatics and Computational Biology.

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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