Lefteris Koumakis
- General Health Professions top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Health Information Management top 1%
- Co-authors
- Manolis TsiknakisKostas MariasHaridimos KondylakisGeorge PotamiasNorbert GrafGabriella PravettoniEleni KazantzakiVassilis Moustakis
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (11 papers)Mobile Health and mHealth Applications (10 papers)
In The Last Decade
Lefteris Koumakis
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 127
- General Health Professions 247
- Artificial Intelligence 229
- Molecular Biology 179
- Public Health, Environmental and Occupational Health 147
- Health Information Management 134
Countries citing papers authored by Lefteris Koumakis
This map shows the geographic impact of Lefteris Koumakis'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 Lefteris Koumakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lefteris Koumakis more than expected).
Fields of papers citing papers by Lefteris Koumakis
This network shows the impact of papers produced by Lefteris Koumakis. 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 Lefteris Koumakis. The network helps show where Lefteris Koumakis may publish in the future.
Co-authorship network of co-authors of Lefteris Koumakis
This figure shows the co-authorship network connecting the top 25 collaborators of Lefteris Koumakis. A scholar is included among the top collaborators of Lefteris Koumakis 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 Lefteris Koumakis. Lefteris Koumakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 28 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 47 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | Big Data in Support of the Digital Cancer Patient. | 2 |
| 11 | 20 | |
| 12 | Standardized data sharing in a paediatric oncology research network--a proof-of-concept study. | 5 |
| 13 | Semantically-enabled Personal Medical Information Recommender. | 9 |
| 14 | 22 | |
| 15 | PMIR: A Personal Medical Information Recommender. | 3 |
| 16 | 31 | |
| 17 | 0 | |
| 18 | Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools | 1 |
| 19 | 26 | |
| 20 | 2 |
About Lefteris Koumakis
Lefteris Koumakis is a scholar working on Health Information Management, Applied Psychology and Health Informatics, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (11 papers) and Mobile Health and mHealth Applications (10 papers). The work is most often cited by research in Health Informatics (62 citations), Health Information Management (134 citations) and Applied Psychology (105 citations). Lefteris Koumakis has collaborated with scholars based in Greece, Germany and Italy. Frequent co-authors include Manolis Tsiknakis, Kostas Marias, Haridimos Kondylakis, George Potamias, Norbert Graf, Gabriella Pravettoni, Eleni Kazantzaki, Vassilis Moustakis, Chiara Renzi and Angelina Kouroubali. Their work appears in journals such as Nucleic Acids Research, Sensors and Journal of Dental Research.
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.