Mahmut Özer

110 total papers · 1.8k total citations
69 papers, 1.4k citations indexed

About

Mahmut Özer is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Mahmut Özer has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 39 papers in Statistical and Nonlinear Physics and 16 papers in Computer Networks and Communications. Recurrent topics in Mahmut Özer's work include stochastic dynamics and bifurcation (39 papers), Neural dynamics and brain function (35 papers) and Nonlinear Dynamics and Pattern Formation (16 papers). Mahmut Özer is often cited by papers focused on stochastic dynamics and bifurcation (39 papers), Neural dynamics and brain function (35 papers) and Nonlinear Dynamics and Pattern Formation (16 papers). Mahmut Özer collaborates with scholars based in Türkiye, United States and France. Mahmut Özer's co-authors include Umut Orhan, Mahmut Hekim, Muhammet Uzuntarla, Ergin Yılmaz, Okan Erkaymaz, Yalçın İşler, Ali Narin, Ernest Barreto, Lyle J. Graham and Philipp Hövel and has published in prestigious journals such as Expert Systems with Applications, Journal of Theoretical Biology and Physics Letters A.

In The Last Decade

Mahmut Özer

67 papers receiving 1.3k citations

Hit Papers

EEG signals classificatio... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Mahmut Özer 887 513 286 260 208 69 1.4k
A. Figliola 565 0.6× 437 0.9× 231 0.8× 67 0.3× 162 0.8× 35 1.8k
K. Tsakalis 594 0.7× 134 0.3× 201 0.7× 118 0.5× 148 0.7× 70 1.7k
Yinping Cao 303 0.3× 525 1.0× 155 0.5× 167 0.6× 160 0.8× 66 1.5k
Weidong Dang 799 0.9× 178 0.3× 178 0.6× 62 0.2× 188 0.9× 47 1.5k
Б. П. Безручко 501 0.6× 592 1.2× 62 0.2× 482 1.9× 156 0.8× 106 1.6k
Assef Zare 609 0.7× 110 0.2× 203 0.7× 88 0.3× 385 1.9× 68 1.7k
Vadim Grubov 842 0.9× 122 0.2× 75 0.3× 133 0.5× 161 0.8× 97 1.1k
Michael Eichler 608 0.7× 124 0.2× 167 0.6× 57 0.2× 251 1.2× 51 1.7k
Alistair Mees 287 0.3× 681 1.3× 224 0.8× 228 0.9× 410 2.0× 48 1.6k
Weifeng Xu 520 0.6× 153 0.3× 71 0.2× 254 1.0× 236 1.1× 86 1.4k

Countries citing papers authored by Mahmut Özer

Since Specialization
Citations

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

Fields of papers citing papers by Mahmut Özer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Özer

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