Michalis Zervakis

1.3k citations
46 papers · 777 indexed · 1 hit paper · h-index 13

Michalis Zervakis

43 papers receiving 749 citations

Hit Papers

AI in Medical Imaging Informatics: Current Challenges and...3612020202620222024100200300

Peers

Michalis Zervakis
Comparison fields: 5 of 139
  • Health Informatics 81
  • Radiology, Nuclear Medicine and Imaging 215
  • Health Information Management 36
  • Neurology 61
  • Cognitive Neuroscience 123
Replace Francesca Gallivanone with:
Francesca Gallivanone Italy
Murat Seçkin Ayhan Germany
Qiang Zheng China
M. Muthu Rama Krishnan India
Máté E. Maros Germany
Wenjun Tan China
Youngjin Yoo Canada
Lauren Kim United States
Michalis Zervakis relative to Francesca Gallivanone Italy Francesca Gallivanone's profile →
Citations per field
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Francesca Gallivanone · 1×
Citations per year

Countries citing papers authored by Michalis Zervakis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Michalis Zervakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michalis Zervakis Line = papers co-authored together Michalis Zervakis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20229
3 20221
4 20213
5 20213
6 202057
7 20184
8 201830
9 201719
10 20170
11 201618
12 201552
13 20130
14 20111
15 20104
16 20094
17 200928
18 200714
19 200632
20 20052

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), Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Optical Polarization and Ellipsometry (3 papers) and CCD and CMOS Imaging Sensors (3 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.

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