Derviş Karaboğa
Impact in
- Artificial Intelligence top 0.01%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Computational Theory and Mathematics top 0.02%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 59
- Evolutionary Algorithms and Applications 31
- Fuzzy Logic and Control Systems 18
- Neural Networks and Applications 17
-
- Advanced Multi-Objective Optimization Algorithms 23
- Co-authors
- Bahriye Akay (34 shared papers)Celal Öztürk (24 shared papers)Beyza Görkemli (13 shared papers)Nurhan Karaboğa (6 shared papers)Ebubekir Kaya (11 shared papers)Emrah Hançer (13 shared papers)Selçuk Ökdem (7 shared papers)İshak Paçal (9 shared papers)
- Journals
- Applied Soft Computing (11 papers)Information Sciences (7 papers)Soft Computing (4 papers)Artificial Intelligence Review (4 papers)Engineering Applications of Artificial Intelligence (3 papers)
- Partner nations
- TürkiyeSaudi ArabiaUnited Kingdom
In The Last Decade
Derviş Karaboğa
133 papers receiving 25.3k citations
Derviş Karaboğa's Hit Papers
Peers
Comparison fields: 5 of 203
- Artificial Intelligence 13.7k
- Computational Theory and Mathematics 5.3k
- Industrial and Manufacturing Engineering 3.0k
- Computer Vision and Pattern Recognition 3.5k
- Control and Systems Engineering 3.8k
Countries citing papers authored by Derviş Karaboğa
This map shows the geographic impact of Derviş Karaboğa'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 Derviş Karaboğa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derviş Karaboğa more than expected).
Fields of papers citing papers by Derviş Karaboğa
This network shows the impact of papers produced by Derviş Karaboğa. 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 Derviş Karaboğa. The network helps show where Derviş Karaboğa may publish in the future.
Co-authors
The 25 scholars most cited alongside Derviş Karaboğa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm Hit paper breakdown → | 2007 | 5679 |
| 2 | AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION Hit paper breakdown → | 2005 | 4141 |
| 3 | On the performance of artificial bee colony (ABC) algorithm Hit paper breakdown → | 2007 | 2815 |
| 4 | A comparative study of Artificial Bee Colony algorithm Hit paper breakdown → | 2009 | 2511 |
| 5 | A comprehensive survey: artificial bee colony (ABC) algorithm and applications Hit paper breakdown → | 2012 | 1458 |
| 6 | A modified Artificial Bee Colony algorithm for real-parameter optimization Hit paper breakdown → | 2010 | 950 |
| 7 | A novel clustering approach: Artificial Bee Colony (ABC) algorithm Hit paper breakdown → | 2009 | 850 |
| 8 | Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey Hit paper breakdown → | 2018 | 516 |
| 9 | Artificial bee colony algorithm Hit paper breakdown → | 2010 | 479 |
| 10 | A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems Hit paper breakdown → | 2010 | 474 |
| 11 | Artificial bee colony algorithm for large-scale problems and engineering design optimization Hit paper breakdown → | 2010 | 455 |
| 12 | A survey: algorithms simulating bee swarm intelligence Hit paper breakdown → | 2009 | 452 |
| 13 | A Simple and Global Optimization Algorithm for Engineering Problems: Differential Evolution Algorithm | 2004 | 261 |
| 14 | 2017 | 251 | |
| 15 | A quick artificial bee colony (qABC) algorithm and its performance on optimization problems Hit paper breakdown → | 2014 | 243 |
| 16 | 2012 | 220 | |
| 17 | 2014 | 207 | |
| 18 | 2020 | 184 | |
| 19 | NEURAL NETWORKS TRAINING BY ARTIFICIAL BEE COLONY ALGORITHM ON PATTERN CLASSIFICATION | 2009 | 175 |
| 20 | 2000 | 153 |
About Derviş Karaboğa
Derviş Karaboğa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 134 papers that have together received 27.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (59 papers), Evolutionary Algorithms and Applications (31 papers), Advanced Multi-Objective Optimization Algorithms (23 papers), Fuzzy Logic and Control Systems (18 papers), Neural Networks and Applications (17 papers), Advanced Algorithms and Applications (9 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Microwave Engineering and Waveguides (7 papers). The work is most often cited by research in Artificial Intelligence (13.7k citations), Computational Theory and Mathematics (5.3k citations), Industrial and Manufacturing Engineering (3.0k citations), Computer Vision and Pattern Recognition (3.5k citations) and Control and Systems Engineering (3.8k citations). Derviş Karaboğa has collaborated with scholars based in Türkiye, Saudi Arabia and United Kingdom. Frequent co-authors include Bahriye Akay, Celal Öztürk, Beyza Görkemli, Nurhan Karaboğa, Ebubekir Kaya, Emrah Hançer, Selçuk Ökdem, İshak Paçal, Dang-Hai Pham and Mengjie Zhang. Their work appears in journals such as Applied Soft Computing, Information Sciences, Soft Computing, Artificial Intelligence Review and Engineering Applications of Artificial Intelligence.
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.