Osman Kaan Erol

1.8k citations
13 papers · 1.4k indexed · 1 hit paper · h-index 7

Osman Kaan Erol

12 papers receiving 1.3k citations

Hit Papers

A new optimization method: Big Bang–Big Crunch1.3k20052026201220194008001.2k

Peers

Osman Kaan Erol
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 493
  • Artificial Intelligence 768
  • Civil and Structural Engineering 297
  • Industrial and Manufacturing Engineering 102
  • Control and Systems Engineering 232
Replace Mahdi Azizi with:
Mahdi Azizi Iran
E. Damangir Iran
Erwie Zahara Taiwan
İbrahim Eksin Türkiye
Hamdi Tolga Kahraman Türkiye
K. M. Ragsdell United States
Jianyong Chen China
Changting Zhong China
Ryoji Tanabe Japan
R. Sowmya India
Osman Kaan Erol relative to Mahdi Azizi Iran Mahdi Azizi's profile →
Citations per field
00.5×10×15×18.2×
Mahdi Azizi · 1×
Citations per year

Countries citing papers authored by Osman Kaan Erol

Since Specialization
Citations

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

Fields of papers citing papers by Osman Kaan Erol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osman Kaan Erol. 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 Osman Kaan Erol. The network helps show where Osman Kaan Erol may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Osman Kaan Erol, 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 Osman Kaan Erol Line = papers co-authored together Osman Kaan Erol links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20191
2 20163
3 20162
4 201320
5
EVALUATING EFFICIENCY OF BIG-BANG BIG-CRUNCH ALGORITHM IN BENCHMARK ENGINEERING OPTIMIZATION PROBLEMS
201127
6 201145
7 201018
8
Robot mapping and map optimization using genetic algorithms and artificial neural networks
20085
9 20064
10
A new optimization method: Big Bang–Big Crunchbreakdown →
20051279
11 20020
12 20019
13
A Fuzzy Identification Method for Nonlinear Systems
20008

About Osman Kaan Erol

Osman Kaan Erol is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (4 papers), Neural Networks and Applications (2 papers), Robotics and Sensor-Based Localization (2 papers), Fuzzy Logic and Control Systems (2 papers), Astronomical Observations and Instrumentation (1 paper) and Advancements in Photolithography Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (493 citations), Artificial Intelligence (768 citations) and Civil and Structural Engineering (297 citations). Osman Kaan Erol has collaborated with scholars based in Türkiye, China and Iran. Frequent co-authors include İbrahim Eksin, O. Hasançebi, Sina Kazemzadeh Azad, Saeid Kazemzadeh Azad, Sırma Yavuz, İstemihan Genç and Arif Çağdaş Aydınoğlu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Consumer Electronics.

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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