Simon Clematide

1.6k citations
84 papers · 675 · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 40
    • Topic Modeling 31
    • Semantic Web and Ontologies 21
    • Speech and dialogue systems 5
    • Sentiment Analysis and Opinion Mining 5
    • Biomedical Text Mining and Ontologies 28
    • Bioinformatics and Genomic Networks 6

Simon Clematide

75 papers receiving 600 citations

Peers

Simon Clematide
Comparison fields: 5 of 78
  • Artificial Intelligence 459
  • Health Informatics 8
  • Molecular Biology 292
  • Computer Vision and Pattern Recognition 81
  • Information Systems and Management 19
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Citations per field
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Citations per year

Countries citing papers authored by Simon Clematide

Since Specialization
Citations

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

Fields of papers citing papers by Simon Clematide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201051
2 200837
3 201036
4 201534
5 200122
6 201822
7 201421
8 201621
9 201221
10 201820
11 201820
12 201218
13 201218
14 201217
15 201816
16 201116
17 202115
18 202314
19 201314
20 201413

About Simon Clematide

Simon Clematide is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Language and Linguistics and Information Systems, having authored 84 papers that have together received 675 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (40 papers), Topic Modeling (31 papers), Biomedical Text Mining and Ontologies (28 papers), Semantic Web and Ontologies (21 papers), Handwritten Text Recognition Techniques (7 papers), Bioinformatics and Genomic Networks (6 papers), Speech and dialogue systems (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Artificial Intelligence (459 citations), Health Informatics (8 citations), Molecular Biology (292 citations), Computer Vision and Pattern Recognition (81 citations) and Information Systems and Management (19 citations). Simon Clematide has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Fabio Rinaldi, Peter Makarov, Manfred Klenner, Martin Volk, Gerold Schneider, Martin Romacker, Kaarel Kaljurand, G. Schneider, Dietrich Rebholz‐Schuhmann and Erik M. van Mulligen. Their work appears in journals such as Database, BMC Bioinformatics, Language Resources and Evaluation, Journal of the American Medical Informatics Association and IEEE/ACM Transactions on Computational Biology 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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