Andrzej Glowinski
- Artificial Intelligence top 10%
- Molecular Biology
- Health Information Management top 5%
- General Health Professions
- Health Informatics top 5%
- Co-authors
- W. A. NowlanAlan RectorMike O’NeilSimon SwiftTom PalserJulie FoxDominic A. ClarkPaul Krause
- Topics
- Semantic Web and Ontologies (5 papers)Biomedical Text Mining and Ontologies (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Partner nations
- United Kingdom
In The Last Decade
Andrzej Glowinski
10 papers receiving 227 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 166
- Molecular Biology 87
- Health Information Management 42
- General Health Professions 31
- Health Informatics 23
Countries citing papers authored by Andrzej Glowinski
This map shows the geographic impact of Andrzej Glowinski'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 Andrzej Glowinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Glowinski more than expected).
Fields of papers citing papers by Andrzej Glowinski
This network shows the impact of papers produced by Andrzej Glowinski. 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 Andrzej Glowinski. The network helps show where Andrzej Glowinski may publish in the future.
Co-authorship network of co-authors of Andrzej Glowinski
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Glowinski. A scholar is included among the top collaborators of Andrzej Glowinski 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 Andrzej Glowinski. Andrzej Glowinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 3 | |
| 3 | Indexing the Directed Acyclic Graph Hierarchy of the Read Thesaurus | 1 |
| 4 | Integrating guidelines and the clinical record: the role of semantically constrained terminologies. | 3 |
| 5 | Conceptual, Semantic and Information Models for Medicine | 3 |
| 6 | 3 | |
| 7 | Goals for concept representation in the GALEN project. | 84 |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 25 | |
| 11 | 26 |
About Andrzej Glowinski
Andrzej Glowinski is a scholar working on Health Informatics, Artificial Intelligence and Software, having authored 11 papers that have together received 261 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (42 citations) and Medical Terminology (2 citations). Andrzej Glowinski has collaborated with scholars based in United Kingdom. Frequent co-authors include W. A. Nowlan, Alan Rector, Mike O’Neil, Simon Swift, Tom Palser, Julie Fox, Dominic A. Clark, Paul Krause, John Fox and Colin Gordon. Their work appears in journals such as PLoS ONE, Artificial Intelligence in Medicine and Applied Artificial Intelligence.
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.