Engin Yaz

443 total citations
44 papers, 337 citations indexed

About

Engin Yaz is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Engin Yaz has authored 44 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Engin Yaz's work include Advanced Control Systems Optimization (21 papers), Control Systems and Identification (20 papers) and Stability and Control of Uncertain Systems (18 papers). Engin Yaz is often cited by papers focused on Advanced Control Systems Optimization (21 papers), Control Systems and Identification (20 papers) and Stability and Control of Uncertain Systems (18 papers). Engin Yaz collaborates with scholars based in United States and Türkiye. Engin Yaz's co-authors include Asad Azemi, Robert E. Skelton, Asok Ray, R. Unbehauen, Stefan Günther and Конрад Рейф and has published in prestigious journals such as Automatica, Systems & Control Letters and International Journal of Control.

In The Last Decade

Engin Yaz

41 papers receiving 309 citations

Peers

Engin Yaz
Comparison fields: 5 of 30
  • Control and Systems Engineering 311
  • Artificial Intelligence 97
  • Computational Theory and Mathematics 30
  • Computer Networks and Communications 29
  • Numerical Analysis 26
Replace A. El Bouhtouri with:
A. El Bouhtouri Morocco
K. Maciej Przyłuski Poland
C. Burgat France
Ye.S. Pyatnitskiy Russia
Stephen H. Saperstone United States
Łukasz Sajewski Poland
Baozhu Du China
Bichitra Kumar Lenka India
K. Özçaldiran Türkiye
Shoulie Xie Singapore
A. El Bouhtouri Morocco View profile →
Citations per field, relative to Engin Yaz
Engin Yaz · 1×
Citations per year, relative to Engin Yaz
Engin Yaz · 1×

Countries citing papers authored by Engin Yaz

Since Specialization
Citations

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

Fields of papers citing papers by Engin Yaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Engin Yaz

This figure shows the co-authorship network connecting the top 25 collaborators of Engin Yaz. A scholar is included among the top collaborators of Engin Yaz 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 Engin Yaz. Engin Yaz 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
# Work Indexed citations
1 16
2 9
3 1
4 1
5 0
6 1
7 40
8 6
9 3
10 0
11 2
12 3
13 1
14 4
15 3
16 3
17 1
18 23
19 7
20 8

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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