Iοannis Kakkos

69 total papers · 1.1k total citations
42 papers, 660 citations indexed

About

Iοannis Kakkos is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Iοannis Kakkos has authored 42 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Iοannis Kakkos's work include EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Iοannis Kakkos is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Iοannis Kakkos collaborates with scholars based in Greece, China and Singapore. Iοannis Kakkos's co-authors include George K. Matsopoulos, Yu Sun, Georgios Ν. Dimitrakopoulos, Anastasios Bezerianos, Athanasios D. Panagopoulos, Zhongxiang Dai, Nitish V. Thakor, Kyriakos Sgarbas, Hongtao Wang and Julian Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Sensors.

In The Last Decade

Iοannis Kakkos

34 papers receiving 648 citations

Hit Papers

A Review of ARIMA vs. Mac... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iοannis Kakkos 374 129 113 100 85 42 660
Usman Tariq 282 0.8× 117 0.9× 157 1.4× 63 0.6× 82 1.0× 51 645
Uri Maoz 473 1.3× 88 0.7× 103 0.9× 72 0.7× 94 1.1× 32 779
Patrícia Bota 181 0.5× 210 1.6× 92 0.8× 68 0.7× 102 1.2× 17 634
Marcin Kołodziej 297 0.8× 218 1.7× 51 0.5× 62 0.6× 47 0.6× 66 668
Chongxun Zheng 384 1.0× 181 1.4× 174 1.5× 120 1.2× 104 1.2× 46 713
Sébastien Scannella 365 1.0× 110 0.9× 89 0.8× 255 2.5× 101 1.2× 27 619
Nadine Matton 285 0.8× 160 1.2× 105 0.9× 260 2.6× 88 1.0× 32 751
Shaibal Barua 153 0.4× 160 1.2× 75 0.7× 150 1.5× 86 1.0× 33 629
Yanli Li 332 0.9× 259 2.0× 76 0.7× 35 0.3× 69 0.8× 33 688
Rana Fayyaz Ahmad 406 1.1× 107 0.8× 100 0.9× 52 0.5× 67 0.8× 33 569

Countries citing papers authored by Iοannis Kakkos

Since Specialization
Citations

This map shows the geographic impact of Iοannis Kakkos'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 Iοannis Kakkos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iοannis Kakkos more than expected).

Fields of papers citing papers by Iοannis Kakkos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iοannis Kakkos. 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 Iοannis Kakkos. The network helps show where Iοannis Kakkos may publish in the future.

Co-authorship network of co-authors of Iοannis Kakkos

This figure shows the co-authorship network connecting the top 25 collaborators of Iοannis Kakkos. A scholar is included among the top collaborators of Iοannis Kakkos 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 Iοannis Kakkos. Iοannis Kakkos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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