Mesut Gündüz

30 total papers · 1.5k total citations
26 papers, 1.2k citations indexed

About

Mesut Gündüz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Mesut Gündüz has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Mesut Gündüz's work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Mesut Gündüz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Mesut Gündüz collaborates with scholars based in Türkiye, India and Finland. Mesut Gündüz's co-authors include Mustafa Servet Kıran, Eren Özceylan, Turan Paksoy, Murat Aslan, Hüseyin Haklı, Harun Uğuz, Ömer Kaan Baykan, Erkan Ülker, İsmail Babaoğlu and Ahmet Babalık and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Sensors.

In The Last Decade

Mesut Gündüz

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mesut Gündüz 696 314 265 249 156 26 1.2k
Julien Lepagnot 676 1.0× 173 0.6× 217 0.8× 386 1.6× 177 1.1× 35 1.4k
Meng‐Hiot Lim 941 1.4× 160 0.5× 251 0.9× 499 2.0× 160 1.0× 32 1.5k
Hüseyin Haklı 589 0.8× 183 0.6× 164 0.6× 261 1.0× 126 0.8× 32 1.1k
Eva Trojovská 732 1.1× 376 1.2× 109 0.4× 283 1.1× 160 1.0× 26 1.5k
Halife Kodaz 711 1.0× 112 0.4× 286 1.1× 227 0.9× 202 1.3× 41 1.2k
Zahra Beheshti 823 1.2× 173 0.6× 138 0.5× 345 1.4× 148 0.9× 31 1.3k
Reza Akbari 465 0.7× 273 0.9× 181 0.7× 276 1.1× 95 0.6× 82 1.4k
Koorush Ziarati 419 0.6× 139 0.4× 379 1.4× 250 1.0× 85 0.5× 47 1.1k
Ahmet Coşar 631 0.9× 129 0.4× 238 0.9× 236 0.9× 188 1.2× 56 1.4k
Rachid Chelouah 536 0.8× 193 0.6× 163 0.6× 341 1.4× 80 0.5× 40 1.3k

Countries citing papers authored by Mesut Gündüz

Since Specialization
Citations

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

Fields of papers citing papers by Mesut Gündüz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mesut Gündüz

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