Baris Ulutas

880 total citations · 1 hit paper
11 papers, 674 citations indexed

About

Baris Ulutas is a scholar working on Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Baris Ulutas has authored 11 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Baris Ulutas's work include Adaptive optics and wavefront sensing (4 papers), Robot Manipulation and Learning (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). Baris Ulutas is often cited by papers focused on Adaptive optics and wavefront sensing (4 papers), Robot Manipulation and Learning (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). Baris Ulutas collaborates with scholars based in Canada, Türkiye and United States. Baris Ulutas's co-authors include Erdal Kayacan, Okyay Kaynak, Erdem Erdemir, K. Kawamura, Carl B. Frankel, Afzal Suleman, Ozan Keysan, Edward J. Park and Jennifer Dunn and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Mechatronics.

In The Last Decade

Baris Ulutas

11 papers receiving 638 citations

Hit Papers

Grey system theory-based models in time series prediction 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baris Ulutas Canada 6 386 229 102 92 65 11 674
Hongze Li China 10 126 0.3× 317 1.4× 181 1.8× 82 0.9× 51 0.8× 19 674
Xueheng Qiu Singapore 11 292 0.8× 544 2.4× 312 3.1× 119 1.3× 48 0.7× 14 973
Pin‐Chan Lee Taiwan 14 434 1.1× 119 0.5× 64 0.6× 96 1.0× 37 0.6× 25 829
Ali Fiaz United Arab Emirates 7 224 0.6× 608 2.7× 243 2.4× 65 0.7× 40 0.6× 7 972
Sheng-Xiang Lv China 12 204 0.5× 410 1.8× 248 2.4× 51 0.6× 93 1.4× 14 697
Jiazheng Li China 7 450 1.2× 311 1.4× 179 1.8× 34 0.4× 144 2.2× 12 971
Xu Xiaozhong China 3 125 0.3× 240 1.0× 93 0.9× 63 0.7× 46 0.7× 7 465
Yishun Liu China 10 156 0.4× 135 0.6× 67 0.7× 146 1.6× 106 1.6× 26 509
Abderrazak Sebaa Algeria 7 145 0.4× 198 0.9× 175 1.7× 41 0.4× 30 0.5× 18 639

Countries citing papers authored by Baris Ulutas

Since Specialization
Citations

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

Fields of papers citing papers by Baris Ulutas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baris Ulutas

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

All Works

11 of 11 papers shown
1.
Keysan, Ozan, et al.. (2020). Comparison of the Effects of Nonlinearities for Si MOSFET and GaN E-HEMT Based VSIs. IEEE Transactions on Industrial Electronics. 68(7). 5606–5615. 7 indexed citations
2.
Keysan, Ozan, et al.. (2019). High Bandwidth Current Control via Nonlinear Compensation and GaN-based VSI. OpenMETU (Middle East Technical University). 1–7. 1 indexed citations
3.
Keysan, Ozan, et al.. (2018). Limited-Jerk Sinusoidal Trajectory Design for FOC of PMSM with H -Infinity Optimal Controller. 65. 704–710. 1 indexed citations
4.
Ulutas, Baris, Afzal Suleman, & Edward J. Park. (2015). LMI-based distributedHcontrol of the Thirty Meter Telescope’s primary mirror. Mechatronics. 28. 55–66. 2 indexed citations
5.
Ulutas, Baris, Afzal Suleman, & Edward J. Park. (2014). LMI-based distributed H<inf>&#x221E;</inf> control of dynamically coupled large segmented telescope mirrors. 8. 297–303. 1 indexed citations
6.
Ulutas, Baris, et al.. (2012). Distributed H∞ control of dynamically coupled segmented telescope mirrors: Design and simulation. Mechatronics. 22(1). 121–135. 5 indexed citations
7.
Ulutas, Baris, Afzal Suleman, & Edward J. Park. (2010). Distributed and Centralized H∞ Control of Large Segmented Telescopes. 1129–1136. 3 indexed citations
8.
Kayacan, Erdal, Baris Ulutas, & Okyay Kaynak. (2009). Grey system theory-based models in time series prediction. Expert Systems with Applications. 37(2). 1784–1789. 617 indexed citations breakdown →
9.
Erdemir, Erdem, et al.. (2008). Towards a cognitive robot that uses internal rehearsal to learn affordance relations. 86. 2016–2021. 21 indexed citations
10.
Ulutas, Baris, Erdem Erdemir, & K. Kawamura. (2008). Application of a hybrid controller with non-contact impedance to a humanoid robot. 378–383. 11 indexed citations
11.
Erdemir, Erdem, et al.. (2008). A robot rehearses internally and learns an affordance relation. 86. 298–303. 5 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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