C. Unsal

18 papers receiving 673 citations

Peers

C. Unsal
Comparison fields: 5 of 43
  • Automotive Engineering 202
  • Condensed Matter Physics 166
  • Mechanical Engineering 505
  • Control and Systems Engineering 273
  • Computer Networks and Communications 168
Replace D. Rus with:
D. Rus United States
Y. Kawauchi Japan
Alwin Hoffmann Germany
Saiful A. Zulkifli Malaysia
Akash Garg India
Tomasz Tarczewski Poland
Zhenhua Pan China
Jungwon Seo Hong Kong
Huann‐Keng Chiang Taiwan
C. Unsal relative to D. Rus United States D. Rus's profile →
Citations per field
00.5×10×15×22.4×
D. Rus · 1×
Citations per year

Countries citing papers authored by C. Unsal

Since Specialization
Citations

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

Fields of papers citing papers by C. Unsal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside C. Unsal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Unsal Line = papers co-authored together C. Unsal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999212
2 2001124
3 200279
4 199957
5 199947
6 200238
7 200336
8 200336
9 200226
10 200024
11
Simulation study of multiple intelligent vehicle control using stochastic learning automata
199722
12 199712
13 20047
14 20025
15 20022
16
ADAPTIVE FUZZY SLIDING MODE CONTROL FOR A CLASS OF BIPARTITE MODULAR ROBOTIC SYSTEMS
20032
17
Human Driver Models for AHS Simulations
19981
18 19981
19 19971
20
Sensor Models for AHS Simulations
19981

About C. Unsal

C. Unsal is a scholar working on Mechanical Engineering, Computer Networks and Communications, Control and Systems Engineering, Computational Theory and Mathematics and Automotive Engineering, having authored 21 papers that have together received 734 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (9 papers), Optimization and Search Problems (5 papers), Advanced Materials and Mechanics (5 papers), Formal Methods in Verification (4 papers), Soft Robotics and Applications (3 papers), Distributed Control Multi-Agent Systems (3 papers), Dynamics and Control of Mechanical Systems (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Automotive Engineering (202 citations), Condensed Matter Physics (166 citations), Mechanical Engineering (505 citations), Control and Systems Engineering (273 citations) and Computer Networks and Communications (168 citations). C. Unsal has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Pushkin Kachroo, Pradeep K. Khosla, P.K. Khosla, Han Kiliççöte, John S. Bay, Mehmet Önder Efe, Xinghuo Yu, Okyay Kaynak, R. G. Leonard and Kaan Özbay. Their work appears in journals such as Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Autonomous Robots and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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