Selami Beyhan

874 total citations
49 papers, 650 citations indexed

About

Selami Beyhan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Selami Beyhan has authored 49 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 18 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Selami Beyhan's work include Neural Networks and Applications (9 papers), Advanced Algorithms and Applications (9 papers) and Adaptive Control of Nonlinear Systems (8 papers). Selami Beyhan is often cited by papers focused on Neural Networks and Applications (9 papers), Advanced Algorithms and Applications (9 papers) and Adaptive Control of Nonlinear Systems (8 papers). Selami Beyhan collaborates with scholars based in Türkiye, Netherlands and Romania. Selami Beyhan's co-authors include Lucas Visscher, Andreas W. Götz, Musa Alcı, Christoph R. Jacob, Hilal İşleroğlu, Rosa E. Bulo, André Severo Pereira Gomes, Karin Kiewisch, Kadir Kavaklıoğlu and Mehmet İtik and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.

In The Last Decade

Selami Beyhan

44 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Selami Beyhan Türkiye 14 241 150 134 73 64 49 650
Lars Lindemann United States 15 191 0.8× 302 2.0× 232 1.7× 26 0.4× 113 1.8× 56 1000
Koen Tiels Belgium 13 58 0.2× 507 3.4× 120 0.9× 59 0.8× 34 0.5× 58 786
Thomas E. Baker United States 12 153 0.6× 66 0.4× 72 0.5× 105 1.4× 8 0.1× 37 511
Andrew J. Ballard United Kingdom 12 99 0.4× 26 0.2× 117 0.9× 126 1.7× 20 0.3× 18 535
Xiaoyang Gao China 13 69 0.3× 401 2.7× 80 0.6× 35 0.5× 13 0.2× 38 906
Chandana Roy India 17 299 1.2× 52 0.3× 53 0.4× 131 1.8× 23 0.4× 90 700
R. Johanni Germany 6 179 0.7× 448 3.0× 20 0.1× 253 3.5× 22 0.3× 9 953
C. Martı́n Spain 16 146 0.6× 76 0.5× 9 0.1× 155 2.1× 45 0.7× 50 597
James F. Leathrum United States 7 107 0.4× 26 0.2× 29 0.2× 27 0.4× 16 0.3× 42 287

Countries citing papers authored by Selami Beyhan

Since Specialization
Citations

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

Fields of papers citing papers by Selami Beyhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selami Beyhan

This figure shows the co-authorship network connecting the top 25 collaborators of Selami Beyhan. A scholar is included among the top collaborators of Selami Beyhan 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 Selami Beyhan. Selami Beyhan 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.
2.
Beyhan, Selami & Hilal İşleroğlu. (2023). EXTRACTION OF PHENOLIC COMPOUNDS FROM FENUGREEK SEEDS: MODELLING AND ANALYSIS USING ARTIFICIAL NEURAL NETWORKS. Konya Journal of Engineering Sciences. 11(2). 312–323. 2 indexed citations
3.
Beyhan, Selami. (2023). A scaled-down model of a dairy barn to imitate a livestock building for modelling and control of environmental conditions. Journal of Thermal Biology. 114. 103571–103571. 4 indexed citations
4.
Beyhan, Selami, et al.. (2023). Hyperparameter optimization of pre-trained convolutional neural networks using adolescent identity search algorithm. Neural Computing and Applications. 36(4). 1523–1537. 4 indexed citations
5.
6.
Beyhan, Selami, et al.. (2022). Second-order hyperparameter tuning of model-based and adaptive observers for time-varying and unknown chaotic systems. Chaos Solitons & Fractals. 156. 111898–111898. 6 indexed citations
7.
Beyhan, Selami, et al.. (2021). Symbolic Regression Based Extreme Learning Machine Models for System Identification. Neural Processing Letters. 53(2). 1565–1578. 9 indexed citations
8.
Beyhan, Selami, et al.. (2021). Long-term analysis of HIV infection therapy with cubature Kalman filtering-based predictive control. Neural Computing and Applications. 34(3). 2133–2155. 2 indexed citations
9.
Beyhan, Selami, et al.. (2020). HARİCİ REENFEKSİYONLARA BAĞLI TÜBERKÜLOZUN UYARLAMALI KALMAN FİLTRE TEMELLİ OPTİMAL KONTROLÜ. Mühendislik Bilimleri ve Tasarım Dergisi. 8(4). 1260–1268. 1 indexed citations
10.
Beyhan, Selami, et al.. (2020). Active fault tolerant control for high-precision positioning of a non-contact mode uncertain atomic force microscopy. Transactions of the Institute of Measurement and Control. 42(14). 2632–2644. 2 indexed citations
11.
Beyhan, Selami, et al.. (2018). An efficient sliding mode observer-based model predictive control: experimental implementation on a DC/DC power converter. Transactions of the Institute of Measurement and Control. 40(8). 2488–2497. 6 indexed citations
12.
Beyhan, Selami, et al.. (2018). State and Parameter Estimation of Uncertain Brain Cortex Model. Pamukkale University Journal of Engineering Sciences. 24(8). 1425–1434.
13.
Beyhan, Selami, et al.. (2017). A Novel Online LS-SVM Approach for Regression and Classification. IFAC-PapersOnLine. 50(1). 8642–8647. 8 indexed citations
14.
Beyhan, Selami, et al.. (2016). Artificial neural network based adaptive linear model predictive control. Pamukkale University Journal of Engineering Sciences. 22(8). 650–658. 1 indexed citations
15.
Beyhan, Selami, et al.. (2016). Soft sensor applications of RK-based nonlinear observers and experimental comparisons. Intelligent Automation & Soft Computing. 23(1). 109–116. 2 indexed citations
16.
Beyhan, Selami. (2015). Adaptive Fuzzy Terminal Sliding-Mode Observer with Experimental Applications. International Journal of Fuzzy Systems. 18(4). 585–594. 7 indexed citations
17.
Jacob, Christoph R., Selami Beyhan, Rosa E. Bulo, et al.. (2011). PyADF — A scripting framework for multiscale quantum chemistry. Journal of Computational Chemistry. 32(10). 2328–2338. 69 indexed citations
18.
Beyhan, Selami & Musa Alcı. (2010). Stable modeling based control methods using a new RBF network. ISA Transactions. 49(4). 510–518. 30 indexed citations
19.
Beyhan, Selami & Musa Alcı. (2010). Extended fuzzy function model with stable learning methods for online system identification. International Journal of Adaptive Control and Signal Processing. 25(2). 168–182. 14 indexed citations
20.
Jacob, Christoph R., Selami Beyhan, & Lucas Visscher. (2007). Exact functional derivative of the nonadditive kinetic-energy bifunctional in the long-distance limit. The Journal of Chemical Physics. 126(23). 234116–234116. 61 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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