Andreas Karwath
Impact in
- Health Informatics top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Topic Modeling 6
- Data Stream Mining Techniques 5
- Algorithms and Data Compression 4
- Machine Learning and Algorithms 4
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- Biomedical Text Mining and Ontologies 7
- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 5
- Co-authors
- Martin Gütlein (4 shared papers)Eibe Frank (3 shared papers)Ross D. King (8 shared papers)Mark Hall (1 shared paper)Stefan Krämer (14 shared papers)Amanda Clare (6 shared papers)Luc De Raedt (6 shared papers)Georgios V. Gkoutos (15 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)Bioinformatics (2 papers)Regulatory Toxicology and Pharmacology (2 papers)Yeast (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
Andreas Karwath
51 papers receiving 908 citations
Peers
Comparison fields: 5 of 131
- Health Informatics 19
- Computational Theory and Mathematics 196
- Chemical Health and Safety 6
- Artificial Intelligence 287
- Computer Vision and Pattern Recognition 122
Countries citing papers authored by Andreas Karwath
This map shows the geographic impact of Andreas Karwath'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 Andreas Karwath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Karwath more than expected).
Fields of papers citing papers by Andreas Karwath
This network shows the impact of papers produced by Andreas Karwath. 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 Andreas Karwath. The network helps show where Andreas Karwath may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Karwath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 217 | |
| 2 | 2021 | 72 | |
| 3 | 2001 | 59 | |
| 4 | 2013 | 51 | |
| 5 | 2000 | 47 | |
| 6 | 2012 | 43 | |
| 7 | 2006 | 34 | |
| 8 | 2000 | 34 | |
| 9 | 2011 | 29 | |
| 10 | 2006 | 27 | |
| 11 | 2010 | 27 | |
| 12 | 2024 | 22 | |
| 13 | 2002 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2008 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2020 | 16 |
About Andreas Karwath
Andreas Karwath is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 51 papers that have together received 945 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers), Machine Learning in Bioinformatics (6 papers), Data Stream Mining Techniques (5 papers), Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Health Informatics (19 citations), Computational Theory and Mathematics (196 citations), Chemical Health and Safety (6 citations), Artificial Intelligence (287 citations) and Computer Vision and Pattern Recognition (122 citations). Andreas Karwath has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Martin Gütlein, Eibe Frank, Ross D. King, Mark Hall, Stefan Krämer, Amanda Clare, Luc De Raedt, Georgios V. Gkoutos, Wolfram Burgard and Slawomir Grzonka. Their work appears in journals such as Computers in Biology and Medicine, Bioinformatics, Regulatory Toxicology and Pharmacology, Yeast and Journal of Cheminformatics.
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.