Minas Dasygenis

171 total papers · 1.2k total citations
106 papers, 677 citations indexed

About

Minas Dasygenis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Minas Dasygenis has authored 106 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Minas Dasygenis's work include Robotic Path Planning Algorithms (16 papers), IoT and Edge/Fog Computing (9 papers) and Chaos-based Image/Signal Encryption (9 papers). Minas Dasygenis is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), IoT and Edge/Fog Computing (9 papers) and Chaos-based Image/Signal Encryption (9 papers). Minas Dasygenis collaborates with scholars based in Greece, United States and Romania. Minas Dasygenis's co-authors include Theodora Sanida, Dimitrios Soudris, A. Thanailakis, Antonios Lalas, Konstantinos Votis, Malamati Louta, Dimitrios Tzovaras, Constantinos Tsanaktsidis, Tharrenos Bratitsis and Nikolaos Dimitriou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Minas Dasygenis

96 papers receiving 642 citations

Author Peers

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

Author Last Decade Papers Cites
Minas Dasygenis 193 136 97 96 88 106 677
Vijayakumar Ponnusamy 62 0.3× 162 1.2× 156 1.6× 58 0.6× 177 2.0× 86 620
A. Senthilselvi 223 1.2× 210 1.5× 64 0.7× 86 0.9× 55 0.6× 73 751
Yu Jiang 148 0.8× 119 0.9× 53 0.5× 29 0.3× 60 0.7× 80 555
Emiliano Tramontana 79 0.4× 265 1.9× 94 1.0× 52 0.5× 240 2.7× 126 744
Baihai Zhang 78 0.4× 196 1.4× 165 1.7× 80 0.8× 279 3.2× 67 778
Xiang Gao 99 0.5× 166 1.2× 37 0.4× 76 0.8× 55 0.6× 49 683
Shriram K. Vasudevan 123 0.6× 111 0.8× 126 1.3× 11 0.1× 236 2.7× 120 652
Rahul Mishra 69 0.4× 108 0.8× 208 2.1× 49 0.5× 263 3.0× 61 657
Abdelzahir Abdelmaboud 87 0.5× 129 0.9× 79 0.8× 40 0.4× 341 3.9× 61 764
Goran Martinović 108 0.6× 168 1.2× 130 1.3× 31 0.3× 189 2.1× 109 653

Countries citing papers authored by Minas Dasygenis

Since Specialization
Citations

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

Fields of papers citing papers by Minas Dasygenis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minas Dasygenis

This figure shows the co-authorship network connecting the top 25 collaborators of Minas Dasygenis. A scholar is included among the top collaborators of Minas Dasygenis 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 Minas Dasygenis. Minas Dasygenis 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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