Sefa Aras

989 citations
16 papers · 770 · h-index 9

Impact in

Papers in

Sefa Aras

16 papers receiving 746 citations

Peers

Sefa Aras
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 247
  • Artificial Intelligence 433
  • Energy Engineering and Power Technology 23
  • Industrial and Manufacturing Engineering 55
  • Control and Systems Engineering 114
Replace Qamar Askari with:
Qamar Askari Pakistan
Mohamed A. Mahdy Egypt
Nitish Chopra India
Hamdan Daniyal Malaysia
Hisham A. Shehadeh Jordan
Mohammed R. Saad Egypt
Abolfazl Rahimnejad Canada
Honghua Rao China
Tiebin Wu China
Changsheng Wen China
Sefa Aras relative to Qamar Askari Pakistan Qamar Askari's profile →
Citations per field
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Qamar Askari · 1×
Citations per year

Countries citing papers authored by Sefa Aras

Since Specialization
Citations

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

Fields of papers citing papers by Sefa Aras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Sefa Aras, 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 Sefa Aras Line = papers co-authored together Sefa Aras links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019210
2 2021108
3 202098
4 202178
5 202277
6 202363
7 202148
8 202237
9 202234
10 20245
11 20184
12 20173
13 20182
14 20251
15 20251
16 20191

About Sefa Aras

Sefa Aras is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 770 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Evolutionary Algorithms and Applications (5 papers), Electric Power System Optimization (3 papers), Optimal Power Flow Distribution (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Power System Optimization and Stability (2 papers) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (247 citations), Artificial Intelligence (433 citations), Energy Engineering and Power Technology (23 citations), Industrial and Manufacturing Engineering (55 citations) and Control and Systems Engineering (114 citations). Sefa Aras has collaborated with scholars based in Türkiye and Azerbaijan. Frequent co-authors include Hamdi Tolga Kahraman, Eyüp Gedіklі, Mehmet Katı, Uğur Güvenç, Serhat Duman, Yusuf Sönmez, Hüseyin Bakır, İsmail Altın and Özcan Özyurt. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Information Sciences, Swarm and Evolutionary Computation, Soft Computing and Knowledge-Based Systems.

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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