Matthias Samwald
Impact in
- Health Informatics top 2%
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
- Pharmacology 14
- Pharmacogenetics and Drug Metabolism 14
- Co-authors
- Milad MoradiKathrin BlagecMichael S. MarshallRichard D. BoyceJosé Antonio Miñarro-GiménezKlaus-Peter AdlassnigGeorg DorffnerOktie Hassanzadeh
- Journals
- Journal of Biomedical Informatics (5 papers)PLoS ONE (3 papers)Journal of Web Semantics (2 papers)Briefings in Bioinformatics (2 papers)Pharmacogenomics (2 papers)
- Partner nations
- AustriaUnited StatesIreland
In The Last Decade
Matthias Samwald
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 142
- Health Informatics 63
- Pharmacology 237
- Health Information Management 113
- Artificial Intelligence 759
- Information Systems and Management 119
Countries citing papers authored by Matthias Samwald
This map shows the geographic impact of Matthias Samwald'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 Matthias Samwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Samwald more than expected).
Fields of papers citing papers by Matthias Samwald
This network shows the impact of papers produced by Matthias Samwald. 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 Matthias Samwald. The network helps show where Matthias Samwald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Samwald, 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 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 26 | |
| 11 | OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction. | 2019 | 1 |
| 12 | Using hyperbolic large-margin classifiers for biological link prediction. | 2019 | 1 |
| 13 | We divide, you conquer: From large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings | 2018 | 3 |
| 14 | 2016 | 22 | |
| 15 | 2015 | 14 | |
| 16 | 2015 | 87 | |
| 17 | 2013 | 14 | |
| 18 | 2011 | 121 | |
| 19 | 2010 | 4 | |
| 20 | 2009 | 12 |
About Matthias Samwald
Matthias Samwald is a scholar working on Pharmacology, Health Informatics, Artificial Intelligence, Molecular Biology and Statistics and Probability, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (39 papers), Semantic Web and Ontologies (24 papers), Topic Modeling (15 papers), Bioinformatics and Genomic Networks (15 papers), Pharmacogenetics and Drug Metabolism (14 papers), Natural Language Processing Techniques (7 papers), Machine Learning in Healthcare (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). The work is most often cited by research in Health Informatics (63 citations), Pharmacology (237 citations), Health Information Management (113 citations), Artificial Intelligence (759 citations) and Information Systems and Management (119 citations). Matthias Samwald has collaborated with scholars based in Austria, United States and Ireland. Frequent co-authors include Milad Moradi, Kathrin Blagec, Michael S. Marshall, Richard D. Boyce, José Antonio Miñarro-Giménez, Klaus-Peter Adlassnig, Georg Dorffner, Oktie Hassanzadeh, Eric Prud’hommeaux and Michel Dumontier. Their work appears in journals such as Journal of Biomedical Informatics, PLoS ONE, Journal of Web Semantics, Briefings in Bioinformatics and Pharmacogenomics.
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.