Tomasz Adamusiak
- Molecular Biology
- Artificial Intelligence top 10%
- Genetics
- Information Systems and Management top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Helen ParkinsonMisha KapusheskyJames MaloneN. N. KolesnikovAnna ZhukovaAlvis BrāzmaEle HollowayJie Zheng
- Topics
- Biomedical Text Mining and Ontologies (12 papers)Semantic Web and Ontologies (8 papers)Bioinformatics and Genomic Networks (6 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationInformation Systems and ManagementMolecular Biology
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Tomasz Adamusiak
16 papers receiving 571 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 425
- Artificial Intelligence 140
- Genetics 116
- Information Systems and Management 56
- Computational Theory and Mathematics 38
Countries citing papers authored by Tomasz Adamusiak
This map shows the geographic impact of Tomasz Adamusiak'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 Tomasz Adamusiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Adamusiak more than expected).
Fields of papers citing papers by Tomasz Adamusiak
This network shows the impact of papers produced by Tomasz Adamusiak. 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 Tomasz Adamusiak. The network helps show where Tomasz Adamusiak may publish in the future.
Co-authorship network of co-authors of Tomasz Adamusiak
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Adamusiak. A scholar is included among the top collaborators of Tomasz Adamusiak 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 Tomasz Adamusiak. Tomasz Adamusiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 19 | |
| 3 | 42 | |
| 4 | 17 | |
| 5 | EHR-based phenome wide association study in pancreatic cancer. | 3 |
| 6 | Next generation ontology browser. | 1 |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | Quality assurance in LOINC using Description Logic. | 10 |
| 11 | Rapid Development of an Ontology of Coriell Cell Lines. | 0 |
| 12 | 10 | |
| 13 | 24 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 88 | |
| 17 | 323 |
About Tomasz Adamusiak
Tomasz Adamusiak is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Health Information Management and Artificial Intelligence, having authored 17 papers that have together received 594 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Semantic Web and Ontologies (8 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (36 citations), Information Systems and Management (56 citations) and Molecular Biology (425 citations). Tomasz Adamusiak has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Helen Parkinson, Misha Kapushesky, James Malone, N. N. Kolesnikov, Anna Zhukova, Alvis Brāzma, Ele Holloway, Jie Zheng, Morris A. Swertz and Guðmundur Á. Þórisson. Their work appears in journals such as Bioinformatics, Sensors and BMC 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.