Michalis Zervakis
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Constantinos S. PattichisAndreas S. PanayidesNenad FilipovićTahsin KurçDavid J. ForanNhan DoKonstantina S. NikitaKun Huang
- Topics
- Gene expression and cancer classification (9 papers)Bioinformatics and Genomic Networks (9 papers)Functional Brain Connectivity Studies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageCancer Research
- Partner nations
- GreeceUnited StatesUnited Kingdom
In The Last Decade
Michalis Zervakis
43 papers receiving 749 citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Radiology, Nuclear Medicine and Imaging 215
- Artificial Intelligence 188
- Cognitive Neuroscience 123
- Molecular Biology 99
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by Michalis Zervakis
This map shows the geographic impact of Michalis Zervakis'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 Michalis Zervakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michalis Zervakis more than expected).
Fields of papers citing papers by Michalis Zervakis
This network shows the impact of papers produced by Michalis Zervakis. 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 Michalis Zervakis. The network helps show where Michalis Zervakis may publish in the future.
Co-authorship network of co-authors of Michalis Zervakis
This figure shows the co-authorship network connecting the top 25 collaborators of Michalis Zervakis. A scholar is included among the top collaborators of Michalis Zervakis 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 Michalis Zervakis. Michalis Zervakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 57 | |
| 7 | 4 | |
| 8 | 30 | |
| 9 | 19 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 52 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 28 | |
| 18 | 14 | |
| 19 | 32 | |
| 20 | 2 |
About Michalis Zervakis
Michalis Zervakis is a scholar working on Health Informatics, Biophysics and Cognitive Neuroscience, having authored 46 papers that have together received 777 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (9 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Health Informatics (81 citations), Radiology, Nuclear Medicine and Imaging (215 citations) and Health Information Management (36 citations). Michalis Zervakis has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Constantinos S. Pattichis, Andreas S. Panayides, Nenad Filipović, Tahsin Kurç, David J. Foran, Nhan Do, Konstantina S. Nikita, Kun Huang, Ashish Sharma and Alistair A. Young. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Cancer 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.