Sefa Aras

1.1k citations
21 papers · 883 · h-index 10

Impact in

Papers in

Sefa Aras

20 papers receiving 867 citations

Peers

Sefa Aras
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 259
  • Artificial Intelligence 472
  • Energy Engineering and Power Technology 25
  • Industrial and Manufacturing Engineering 59
  • Control and Systems Engineering 123
Replace Qamar Askari with:
Qamar Askari Pakistan
Mohamed A. Mahdy Egypt
Nitish Chopra India
Hamdan Daniyal Malaysia
Yiying Zhang China
Tiebin Wu China
Abolfazl Rahimnejad Canada
Narottam Jangir India
Sew Sun Tiang Malaysia
Oğuz Emrah Turgut Türkiye
Sefa Aras relative to Qamar Askari Pakistan Qamar Askari's profile →
Citations per field
00.5×1.6×
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 12 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

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 2019235
2 2021129
3 2020106
4 202189
5 202279
6 202368
7 202155
8 202239
9 202235
10 202410
11 20249
12 20257
13 20205
14 20184
15 20173
16 20253
17 20192
18 20182
19 20252
20
Simulation of Hydrogen Production from Hydrolysis of Ammonia Borane for Hydrogen Fuel Cell Applications through Aspen HYSYS
20221

About Sefa Aras

Sefa Aras is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Software and Mechanical Engineering, having authored 21 papers that have together received 883 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Evolutionary Algorithms and Applications (5 papers), Optimal Power Flow Distribution (3 papers), Electric Power System Optimization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Silicone and Siloxane Chemistry (2 papers) and Fiber-reinforced polymer composites (2 papers). The work is most often cited by research in Computational Theory and Mathematics (259 citations), Artificial Intelligence (472 citations), Energy Engineering and Power Technology (25 citations), Industrial and Manufacturing Engineering (59 citations) and Control and Systems Engineering (123 citations). Sefa Aras has collaborated with scholars based in Türkiye, Azerbaijan and Norway. Frequent co-authors include Hamdi Tolga Kahraman, Eyup Gedikli, Mehmet Katı, Uğur Güvenç, Serhat Duman, Yusuf Sönmez, Hüseyin Bakır, İsmail Altın, Derya Ünlü and Nevin Gamze Karsli. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Swarm and Evolutionary Computation, Advanced Engineering Materials, Applied Intelligence and Polymer Composites.

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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