Fotis Psomopoulos
Impact in
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- Scientific Computing and Data Management
- Information Systems top 5%
- Research Data Management Practices
Papers in
- Genetics 19
- Chronic Lymphocytic Leukemia Research 19
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- Scientific Computing and Data Management 12
- Co-authors
- Pericles A. MitkasJennifer HarrowPaula Andrea MartinezNeil Chue HongAnna‐Lena LamprechtCarlos Martínez-OrtizMichelle BarkerTom Honeyman
- Journals
- Blood (8 papers)Bioinformatics (2 papers)Blood Advances (2 papers)Genes (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- GreeceSwedenUnited Kingdom
In The Last Decade
Fotis Psomopoulos
64 papers receiving 798 citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Information Systems and Management 199
- Information Systems 208
- Genetics 77
- Horticulture 6
- Health Informatics 8
Countries citing papers authored by Fotis Psomopoulos
This map shows the geographic impact of Fotis Psomopoulos'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 Fotis Psomopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fotis Psomopoulos more than expected).
Fields of papers citing papers by Fotis Psomopoulos
This network shows the impact of papers produced by Fotis Psomopoulos. 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 Fotis Psomopoulos. The network helps show where Fotis Psomopoulos may publish in the future.
Co-authors
The 25 scholars most cited alongside Fotis Psomopoulos, 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 | 2025 | 0 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 4 | |
| 10 | Introducing the FAIR Principles for research software Hit paper breakdown → | 2022 | 175 |
| 11 | 2021 | 17 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2019 | 53 | |
| 16 | 2019 | 150 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 24 | |
| 19 | 2016 | 1 | |
| 20 | G-Class: A Divide and Conquer Application for Grid Protein Classification | 2006 | 1 |
About Fotis Psomopoulos
Fotis Psomopoulos is a scholar working on Genetics, Information Systems and Management, Horticulture, Health Informatics and Immunology, having authored 72 papers that have together received 825 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (19 papers), Genomics and Phylogenetic Studies (12 papers), Scientific Computing and Data Management (12 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Research Data Management Practices (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Information Systems and Management (199 citations), Information Systems (208 citations), Genetics (77 citations), Horticulture (6 citations) and Health Informatics (8 citations). Fotis Psomopoulos has collaborated with scholars based in Greece, Sweden and United Kingdom. Frequent co-authors include Pericles A. Mitkas, Jennifer Harrow, Paula Andrea Martinez, Neil Chue Hong, Anna‐Lena Lamprecht, Carlos Martínez-Ortiz, Michelle Barker, Tom Honeyman, Leyla Jael Castro and Morane Gruenpeter. Their work appears in journals such as Blood, Bioinformatics, Blood Advances, Genes and Frontiers in Genetics.
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.