Martin Volk
- Artificial Intelligence top 2%
- Language and Linguistics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Rico SennrichSamuel LäubliSimon ClematidePaul BuitelaarGerold SchneiderŠpela VintarMark FishelSarah Ebling
- Topics
- Natural Language Processing Techniques (93 papers)Topic Modeling (57 papers)Semantic Web and Ontologies (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Medical InformaticsLanguage Resources and Evaluation
- Partner nations
- SwitzerlandSwedenGermany
In The Last Decade
Martin Volk
91 papers receiving 724 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 810
- Language and Linguistics 165
- Computer Vision and Pattern Recognition 96
- Information Systems 89
- Molecular Biology 80
Countries citing papers authored by Martin Volk
This map shows the geographic impact of Martin Volk'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 Volk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Volk more than expected).
Fields of papers citing papers by Martin Volk
This network shows the impact of papers produced by Martin Volk. 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 Volk. The network helps show where Martin Volk may publish in the future.
Co-authorship network of co-authors of Martin Volk
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Volk. A scholar is included among the top collaborators of Martin Volk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Volk. Martin Volk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 31 | |
| 7 | 36 | |
| 8 | 41 | |
| 9 | 2 | |
| 10 | Classifying Named Entities in an Alpine Heritage Corpus | 5 |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | GTU - eine Grammatik Testumgebung mit Testsatzarchiv. | 1 |
About Martin Volk
Martin Volk is a scholar working on Artificial Intelligence, Language and Linguistics and Geography, Planning and Development, having authored 105 papers that have together received 897 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (93 papers), Topic Modeling (57 papers) and Semantic Web and Ontologies (30 papers). The work is most often cited by research in Artificial Intelligence (810 citations), Language and Linguistics (165 citations) and Computer Vision and Pattern Recognition (96 citations). Martin Volk has collaborated with scholars based in Switzerland, Sweden and Germany. Frequent co-authors include Rico Sennrich, Samuel Läubli, Simon Clematide, Paul Buitelaar, Gerold Schneider, Špela Vintar, Mark Fishel, Sarah Ebling, Bogdan Sacaleanu and Christian Hardmeier. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Medical Informatics and Language Resources and Evaluation.
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.