Ömür Aydoğmuş

875 total citations
57 papers, 622 citations indexed

About

Ömür Aydoğmuş is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Ömür Aydoğmuş has authored 57 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 28 papers in Control and Systems Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Ömür Aydoğmuş's work include Electric Motor Design and Analysis (20 papers), Sensorless Control of Electric Motors (18 papers) and Multilevel Inverters and Converters (16 papers). Ömür Aydoğmuş is often cited by papers focused on Electric Motor Design and Analysis (20 papers), Sensorless Control of Electric Motors (18 papers) and Multilevel Inverters and Converters (16 papers). Ömür Aydoğmuş collaborates with scholars based in Türkiye, United States and Switzerland. Ömür Aydoğmuş's co-authors include Zafer Aydoğmuş, Sedat Sünter, Reşat Çelikel, Muhammed Fatih Talu, Erkan Denız, Merve Yıldırım, Hanifi Güldemir, Musa Yılmaz, Türker Tuncer and Servet Soygüder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ömür Aydoğmuş

50 papers receiving 591 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ömür Aydoğmuş Türkiye 13 351 276 103 93 71 57 622
Tito G. Amaral Portugal 13 186 0.5× 182 0.7× 45 0.4× 76 0.8× 53 0.7× 53 430
Ashraf Fahmy United Kingdom 14 285 0.8× 214 0.8× 82 0.8× 111 1.2× 8 0.1× 43 610
Enrique Santiso Spain 12 151 0.4× 102 0.4× 56 0.5× 55 0.6× 21 0.3× 40 414
Chuang Wang China 16 391 1.1× 86 0.3× 38 0.4× 126 1.4× 9 0.1× 72 663
F. P. Maciel Barbosa Portugal 14 546 1.6× 371 1.3× 46 0.4× 29 0.3× 55 0.8× 123 847
Mustafa Şinasi Ayas Türkiye 15 242 0.7× 418 1.5× 60 0.6× 70 0.8× 14 0.2× 51 638
Ryad Chellali Italy 10 114 0.3× 58 0.2× 115 1.1× 45 0.5× 17 0.2× 36 484
Jovitha Jerome India 14 611 1.7× 709 2.6× 94 0.9× 60 0.6× 10 0.1× 59 1.0k
Štěpán Ožana Czechia 11 93 0.3× 157 0.6× 35 0.3× 62 0.7× 12 0.2× 74 406
Suresh Thenozhi Mexico 11 117 0.3× 193 0.7× 30 0.3× 215 2.3× 38 0.5× 23 548

Countries citing papers authored by Ömür Aydoğmuş

Since Specialization
Citations

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

Fields of papers citing papers by Ömür Aydoğmuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ömür Aydoğmuş

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

All Works

20 of 20 papers shown
1.
Aydoğmuş, Ömür, et al.. (2025). Development and implementation of an FPGA-based embedded real-time digital simulator. Measurement. 254. 117786–117786.
2.
Çelikel, Reşat, et al.. (2025). A modified perturb and observe MPPT algorithm for PEMFC with rapid convergence and low power oscillation. Scientific Reports. 15(1). 27848–27848.
3.
Tuncer, Türker, et al.. (2024). A DCSLBP based intelligent machine malfunction detection model using sound signals for industrial automation systems. Computers & Electrical Engineering. 119. 109541–109541. 4 indexed citations
4.
Aydoğmuş, Ömür, et al.. (2024). Real-Time Digital Simulator Design for Differential Drive Mobile Robot using FPGA. Balkan Journal of Electrical and Computer Engineering. 12(1). 84–89. 1 indexed citations
5.
Aydoğmuş, Ömür & Muhammed Fatih Talu. (2024). Robotic frameless brain biopsy system enhanced by facial mesh registration. Expert Systems. 42(2).
6.
Aydoğmuş, Ömür, et al.. (2023). An automated voice command classification model based on an attention-deep convolutional neural network for industrial automation system. Engineering Applications of Artificial Intelligence. 126. 107120–107120. 9 indexed citations
7.
Aydoğmuş, Ömür, et al.. (2023). Development of a Human-Robot Interaction System for Industrial Applications. Balkan Journal of Electrical and Computer Engineering. 11(4). 306–315. 1 indexed citations
8.
Aydoğmuş, Ömür, et al.. (2023). Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments. SHILAP Revista de lepidopterología. 2(2). 87–96. 3 indexed citations
9.
Çelikel, Reşat, et al.. (2022). A system identification-based MPPT algorithm for solar photovoltaic pumping system under partial shading conditions. Energy Sources Part A Recovery Utilization and Environmental Effects. 44(2). 5199–5214. 7 indexed citations
10.
Aydoğmuş, Ömür, et al.. (2021). Implementation of Pure Pursuit Algorithm for Nonholonomic Mobile Robot using Robot Operating System. Balkan Journal of Electrical and Computer Engineering. 9(4). 337–341. 8 indexed citations
11.
Aydoğmuş, Ömür, et al.. (2021). Design and implementation of a high-efficiency low-voltage synchronous reluctance motor. Electrical Engineering. 104(2). 717–725. 8 indexed citations
12.
Sünter, Sedat, et al.. (2021). Modeling and analysis of a single-phase core-type transformer under inrush current and nonlinear load conditions. Electrical Engineering. 103(6). 2961–2972. 12 indexed citations
13.
Yıldırım, Merve, et al.. (2020). Design and Optimization of a PMSM for Obtaining High-Power Density and High-Speed. DergiPark (Istanbul University). 1 indexed citations
14.
Çelikel, Reşat & Ömür Aydoğmuş. (2019). A torque ripple minimization method for brushless dc motor in high speed applications. The Journal of Engineering Research [TJER]. 7(3). 6 indexed citations
15.
Aydoğmuş, Ömür, et al.. (2019). Implementation of an FPGA-Based Motor Control with Low Resource Utilization. 1–5. 2 indexed citations
16.
Çelikel, Reşat & Ömür Aydoğmuş. (2017). Reducing Mechanical Resonance Time of A Flywheel Energy Storage System by Using A Current Control Algorithm for Satellites. Gazi university journal of science. 30(4). 200–214. 2 indexed citations
17.
Aydoğmuş, Ömür & Erkan Denız. (2017). Design and implementation of two‐phase permanent magnet synchronous motor fed by a matrix converter. IET Power Electronics. 10(9). 1054–1060. 4 indexed citations
18.
Sünter, Sedat, et al.. (2016). Design of a novel single‐phase in two‐phase out matrix converter driving an induction motor. IET Power Electronics. 9(7). 1391–1397. 7 indexed citations
19.
Aydoğmuş, Ömür & Sedat Sünter. (2012). Implementation of EKF based sensorless drive system using vector controlled PMSM fed by a matrix converter. International Journal of Electrical Power & Energy Systems. 43(1). 736–743. 41 indexed citations
20.
Aydoğmuş, Ömür & Sedat Sünter. (2011). Four-quadrant operation of PMSM drive fed by a matrix converter. 436–439. 2 indexed citations

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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