Simon Clematide
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 38
- Topic Modeling 32
- Semantic Web and Ontologies 24
- Advanced Text Analysis Techniques 6
- Speech and dialogue systems 5
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- Biomedical Text Mining and Ontologies 28
- Bioinformatics and Genomic Networks 7
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- Handwritten Text Recognition Techniques 7
Simon Clematide
74 papers receiving 595 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 519
- Health Informatics 9
- Molecular Biology 306
- Computer Vision and Pattern Recognition 81
- Information Systems and Management 19
Countries citing papers authored by Simon Clematide
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 4 | |
| 5 | UZH at TAC KBP 2017: Event Nugget Detection via Joint Learning with Softmax-Margin Objective. | 2017 | 2 |
| 6 | 2016 | 6 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 0 | |
| 9 | 2015 | 35 | |
| 10 | 2014 | 2 | |
| 11 | Multilingual semantic resources and parallel corpora in the biomedical domain: The CLEF-ER challenge | 2013 | 3 |
| 12 | 2013 | 3 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2012 | 2 | |
| 17 | 2011 | 16 | |
| 18 | 2010 | 36 | |
| 19 | 2008 | 8 | |
| 20 | 2004 | 2 |
About Simon Clematide
Simon Clematide is a scholar working on Artificial Intelligence, General Social Sciences, Language and Linguistics, Computer Vision and Pattern Recognition and Molecular Biology, having authored 82 papers that have together received 670 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (38 papers), Topic Modeling (32 papers), Biomedical Text Mining and Ontologies (28 papers), Semantic Web and Ontologies (24 papers), Bioinformatics and Genomic Networks (7 papers), Handwritten Text Recognition Techniques (7 papers), Advanced Text Analysis Techniques (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (519 citations), Health Informatics (9 citations), Molecular Biology (306 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 Netherlands. Frequent co-authors include Fabio Rinaldi, Peter Makarov, Manfred Klenner, Martin Volk, Gerold Schneider, Martin Romacker, Kaarel Kaljurand, G. Schneider, Dietrich Rebholz‐Schuhmann and Jan A. Kors. Their work appears in journals such as Database, BMC Bioinformatics, Language Resources and Evaluation, Journal of Education and Work and Journal of Information Technology & Politics.
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.