Thomas Kappler

1.1k citations
8 papers · 95 · h-index 6

Impact in

    • Software Reliability and Analysis Research
    • Semantic Web and Ontologies
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Thomas Kappler

7 papers receiving 87 citations

Peers

Thomas Kappler
Comparison fields: 5 of 28
  • Software 10
  • Artificial Intelligence 58
  • Ecological Modeling 4
  • Communication 6
  • Computer Networks and Communications 19
Replace Paola Quaglia with:
Paola Quaglia Italy
Jordi Armengol-Estapé Spain
Krasimir Angelov Sweden
Guntis Bārzdiņš Latvia
Mohsen Mesgar Germany
Kevin Livingston United States
Jiaao Chen United States
Sven Hertling Germany
Guillaume Erétéo France
Jan E. Gewehr Germany
Thomas Kappler relative to Paola Quaglia Italy Paola Quaglia's profile →
Citations per field
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Paola Quaglia · 1×
Citations per year

Countries citing papers authored by Thomas Kappler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kappler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Thomas Kappler, 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 Thomas Kappler Line = papers co-authored together Thomas Kappler links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201136
2
Towards Automatic Construction of Reusable Prediction Models for Component-Based Performance Engineering.
200818
3 200713
4 20109
5
A Semantic Wiki Approach to Cultural Heritage Data Management
20088
6 20108
7
Engineering a semantic desktop for building historians and architects
20053
8 20090

About Thomas Kappler

Thomas Kappler is a scholar working on Artificial Intelligence, Molecular Biology, Literature and Literary Theory, Communication and Computer Networks and Communications, having authored 8 papers that have together received 95 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (3 papers), Biomedical Text Mining and Ontologies (3 papers), Digital Humanities and Scholarship (2 papers), Radio Frequency Integrated Circuit Design (1 paper), Superconducting and THz Device Technology (1 paper), Physics of Superconductivity and Magnetism (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Software (10 citations), Artificial Intelligence (58 citations), Ecological Modeling (4 citations), Communication (6 citations) and Computer Networks and Communications (19 citations). Thomas Kappler has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include René Witte, Christopher J. O. Baker, Nona Naderi, Heiko Koziolek, Ralf Krestel, Klaus Krogmann, Ralf Reussner, Peter C. Lockemann and M. Siegel. Their work appears in journals such as IEEE Intelligent Systems, IEEE Transactions on Applied Superconductivity, Bioinformatics and International Journal of Bioinformatics Research and Applications.

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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