George Potamias
- Molecular Biology
- Artificial Intelligence top 10%
- Genetics
- Pharmacology top 10%
- Computer Networks and Communications
- Co-authors
- Vassilis MoustakisLefteris KoumakisManolis TsiknakisAlexandros KanterakisDimitris KafetzopoulosKleanthi LakiotakiGeorge P. PatrinosΘεοδώρα Κάτσιλα
- Topics
- Gene expression and cancer classification (13 papers)Biomedical Text Mining and Ontologies (11 papers)Bioinformatics and Genomic Networks (10 papers)
- Partner nations
- GreeceSpainNetherlands
In The Last Decade
George Potamias
49 papers receiving 338 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 119
- Artificial Intelligence 92
- Genetics 48
- Pharmacology 46
- Computer Networks and Communications 37
Countries citing papers authored by George Potamias
This map shows the geographic impact of George Potamias'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 George Potamias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Potamias more than expected).
Fields of papers citing papers by George Potamias
This network shows the impact of papers produced by George Potamias. 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 George Potamias. The network helps show where George Potamias may publish in the future.
Co-authorship network of co-authors of George Potamias
This figure shows the co-authorship network connecting the top 25 collaborators of George Potamias. A scholar is included among the top collaborators of George Potamias 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 George Potamias. George Potamias 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 | 13 | |
| 3 | 28 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | Standardized data sharing in a paediatric oncology research network--a proof-of-concept study. | 5 |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | COLLABORATIVE CONCEPT MAPPING VIA MULTIMODAL ICT TOOLS | 2 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | 44 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 2 |
About George Potamias
George Potamias is a scholar working on Information Systems and Management, Molecular Biology and Pharmacology, having authored 52 papers that have together received 356 indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Biomedical Text Mining and Ontologies (11 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Periodontics (35 citations), Pharmacology (46 citations) and Health Information Management (18 citations). George Potamias has collaborated with scholars based in Greece, Spain and Netherlands. Frequent co-authors include Vassilis Moustakis, Lefteris Koumakis, Manolis Tsiknakis, Alexandros Kanterakis, Dimitris Kafetzopoulos, Kleanthi Lakiotaki, George P. Patrinos, Θεοδώρα Κάτσιλα, Stelios Sfakianakis and Bruno G. Loos. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Frontiers in Immunology.
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.