Andreas Persidis
Impact in
-
- Computational Drug Discovery Methods
-
- Thyroid Disorders and Treatments
Papers in
-
- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 6
- Genetics, Bioinformatics, and Biomedical Research 3
-
- Semantic Web and Ontologies 10
- Cognitive Computing and Networks 2
- Co-authors
- Christos Andronis (8 shared papers)Spyros Deftereos (7 shared papers)Aris Persidis (6 shared papers)Anuj Sharma (1 shared paper)Naomi Gronich (1 shared paper)Fabio Rinaldi (9 shared papers)Gad Rennert (1 shared paper)Idit Lavi (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Knowledge-Based Systems (1 paper)WIREs Systems Biology and Medicine (1 paper)Artificial Intelligence in Medicine (1 paper)Clinical Science (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Andreas Persidis
25 papers receiving 650 citations
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 160
- Endocrinology, Diabetes and Metabolism 97
- Molecular Biology 319
- Artificial Intelligence 167
- Toxicology 13
Countries citing papers authored by Andreas Persidis
This map shows the geographic impact of Andreas Persidis'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 Persidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Persidis more than expected).
Fields of papers citing papers by Andreas Persidis
This network shows the impact of papers produced by Andreas Persidis. 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 Persidis. The network helps show where Andreas Persidis may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Persidis, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 183 | |
| 2 | 2015 | 111 | |
| 3 | 2011 | 97 | |
| 4 | 2006 | 58 | |
| 5 | 2005 | 44 | |
| 6 | 2004 | 36 | |
| 7 | 2011 | 27 | |
| 8 | 1996 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2003 | 21 | |
| 11 | 2004 | 14 | |
| 12 | 2006 | 14 | |
| 13 | 2004 | 11 | |
| 14 | 1997 | 8 | |
| 15 | 1999 | 7 | |
| 16 | 1996 | 6 | |
| 17 | 1991 | 5 | |
| 18 | 2005 | 5 | |
| 19 | Integrated document and knowledge management for the knowledge-based enterprise | 2000 | 5 |
| 20 | 2004 | 3 |
About Andreas Persidis
Andreas Persidis is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 26 papers that have together received 711 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Service-Oriented Architecture and Web Services (3 papers), Biotechnology and Related Fields (3 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Computational Theory and Mathematics (160 citations), Endocrinology, Diabetes and Metabolism (97 citations), Molecular Biology (319 citations), Artificial Intelligence (167 citations) and Toxicology (13 citations). Andreas Persidis has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Christos Andronis, Spyros Deftereos, Aris Persidis, Anuj Sharma, Naomi Gronich, Fabio Rinaldi, Gad Rennert, Idit Lavi, Kaarel Kaljurand and Gerold Schneider. Their work appears in journals such as Nature Biotechnology, Knowledge-Based Systems, WIREs Systems Biology and Medicine, Artificial Intelligence in Medicine and Clinical Science.
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.