Erdal Eker

586 citations
35 papers · 472 · h-index 12

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 18
    • Evolutionary Algorithms and Applications 6
    • Neural Networks and Applications 3
    • Advanced Control Systems Design 10
    • Extremum Seeking Control Systems 5
    • Advanced Control Systems Optimization 4

Erdal Eker

34 papers receiving 459 citations

Peers

Erdal Eker
Comparison fields: 5 of 65
  • Control and Systems Engineering 241
  • Modeling and Simulation 35
  • Artificial Intelligence 210
  • Computational Theory and Mathematics 59
  • Electrical and Electronic Engineering 121
Replace Khizer Mehmood with:
Khizer Mehmood Pakistan
Metin Demirtaş Türkiye
M. F. Ahmad Malaysia
Michael G. Forbes Canada
Mokhtar Sha Sadeghi Iran
Hamed Kharrati Iran
Majid Moradi Zirkohi Iran
Haluk Gözde Türkiye
Mohd Riduwan Ghazali Malaysia
Erdal Eker relative to Khizer Mehmood Pakistan Khizer Mehmood's profile →
Citations per field
00.5×5.8×
Khizer Mehmood · 1×
Citations per year

Countries citing papers authored by Erdal Eker

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Eker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Erdal Eker, 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 Erdal Eker Line = papers co-authored together Erdal Eker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202171
2 202267
3 202152
4 202246
5 202224
6 202223
7 202322
8 202020
9 201915
10 201915
11 201915
12 202214
13 20239
14 20219
15 20219
16 20237
17 20216
18 20235
19 20245
20 20195

About Erdal Eker

Erdal Eker is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 35 papers that have together received 472 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Advanced Control Systems Design (10 papers), Evolutionary Algorithms and Applications (6 papers), Extremum Seeking Control Systems (5 papers), Advanced Control Systems Optimization (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Neural Networks and Applications (3 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Control and Systems Engineering (241 citations), Modeling and Simulation (35 citations), Artificial Intelligence (210 citations), Computational Theory and Mathematics (59 citations) and Electrical and Electronic Engineering (121 citations). Erdal Eker has collaborated with scholars based in Türkiye, Jordan and Malaysia. Frequent co-authors include Serdar Ekinci, Davut İzci, Murat Kayri, Laith Abualigah, Ayşen Demirören, Baran Hekimoğlu, Thanh Cuong‐Le, Samir Khatir, Hazem Migdady and Mathias Tiedemann Svendsen. Their work appears in journals such as Evolving Systems, PLoS ONE, Energies, Journal of King Saud University - Engineering Sciences and Arabian Journal for Science and Engineering.

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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