Beyza Görkemli

3.4k total citations · 2 hit papers
20 papers, 2.6k citations indexed

About

Beyza Görkemli is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Beyza Görkemli has authored 20 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Beyza Görkemli's work include Metaheuristic Optimization Algorithms Research (13 papers), Vehicle Routing Optimization Methods (6 papers) and Evolutionary Algorithms and Applications (4 papers). Beyza Görkemli is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Vehicle Routing Optimization Methods (6 papers) and Evolutionary Algorithms and Applications (4 papers). Beyza Görkemli collaborates with scholars based in Türkiye and Saudi Arabia. Beyza Görkemli's co-authors include Derviş Karaboğa, Celal Öztürk, Nurhan Karaboğa, Ebubekir Kaya, Bahriye Akay, Adil Baykasoğlu, Lale Özbakır, Tefaruk Haktanır, Hatice Çıtakoğlu and Murat Çobaner and has published in prestigious journals such as Sensors, Information Sciences and Applied Soft Computing.

In The Last Decade

Beyza Görkemli

19 papers receiving 2.4k citations

Hit Papers

A comprehensive survey: artificial bee colony (ABC) algor... 2012 2026 2016 2021 2012 2014 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beyza Görkemli Türkiye 14 1.2k 453 429 424 421 20 2.6k
Yu‐Jun Zheng China 30 1.2k 1.0× 545 1.2× 262 0.6× 425 1.0× 313 0.7× 112 3.1k
Julio Ortega Spain 26 1.4k 1.2× 249 0.5× 364 0.8× 349 0.8× 448 1.1× 133 2.5k
Eneko Osaba Spain 23 1.3k 1.1× 528 1.2× 231 0.5× 551 1.3× 288 0.7× 108 2.5k
Jagdish Chand Bansal India 28 1.8k 1.5× 337 0.7× 577 1.3× 683 1.6× 333 0.8× 126 3.2k
Miguel A. Vega‐Rodríguez Spain 27 1.0k 0.9× 246 0.5× 664 1.5× 435 1.0× 448 1.1× 296 3.1k
Esmaeil Atashpaz-Gargari United States 6 879 0.7× 355 0.8× 470 1.1× 360 0.8× 221 0.5× 11 2.4k
Nurhan Karaboğa Türkiye 19 1.5k 1.2× 284 0.6× 592 1.4× 493 1.2× 250 0.6× 56 3.2k
Qifang Luo China 28 1.7k 1.4× 381 0.8× 400 0.9× 666 1.6× 241 0.6× 127 2.7k
Adam Słowik Poland 23 1.0k 0.9× 212 0.5× 516 1.2× 373 0.9× 311 0.7× 116 2.5k
Jeffrey O. Agushaka South Africa 18 1.5k 1.2× 224 0.5× 381 0.9× 530 1.3× 271 0.6× 27 2.8k

Countries citing papers authored by Beyza Görkemli

Since Specialization
Citations

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

Fields of papers citing papers by Beyza Görkemli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beyza Görkemli

This figure shows the co-authorship network connecting the top 25 collaborators of Beyza Görkemli. A scholar is included among the top collaborators of Beyza Görkemli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beyza Görkemli. Beyza Görkemli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Görkemli, Beyza, Ebubekir Kaya, Derviş Karaboğa, & Bahriye Akay. (2025). A review on the versions of artificial bee colony algorithm for scheduling problems. Journal of Combinatorial Optimization. 49(4).
2.
Görkemli, Beyza, Hatice Çıtakoğlu, Tefaruk Haktanır, & Derviş Karaboğa. (2022). A new method based on artificial bee colony programming for the regional standardized intensity–duration‒frequency relationship. Arabian Journal of Geosciences. 15(3). 15 indexed citations
3.
Kaya, Ebubekir, Beyza Görkemli, Bahriye Akay, & Derviş Karaboğa. (2022). A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems. Engineering Applications of Artificial Intelligence. 115. 105311–105311. 100 indexed citations
4.
Akay, Bahriye, Derviş Karaboğa, Beyza Görkemli, & Ebubekir Kaya. (2021). A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems. Applied Soft Computing. 106. 107351–107351. 76 indexed citations
5.
Görkemli, Beyza, et al.. (2020). Solving artificial ant problem using two artificial bee colony programming versions. Applied Intelligence. 50(11). 3695–3717. 16 indexed citations
6.
Görkemli, Beyza, et al.. (2019). On the performance of quick artificial bee colony algorithm for dynamicdeployment of wireless sensor networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(6). 4038–4054. 6 indexed citations
7.
Karaboğa, Derviş & Beyza Görkemli. (2019). Solving Traveling Salesman Problem by Using Combinatorial Artificial Bee Colony Algorithms. International Journal of Artificial Intelligence Tools. 28(1). 1950004–1950004. 51 indexed citations
8.
Görkemli, Beyza & Derviş Karaboğa. (2019). A quick semantic artificial bee colony programming (qsABCP) for symbolic regression. Information Sciences. 502. 346–362. 25 indexed citations
9.
Görkemli, Beyza, et al.. (2018). Application of Artificial Bee Colony Programming to Two Trails of the Artificial Ant Problem. 149. 1–6. 4 indexed citations
10.
Karaboğa, Derviş & Beyza Görkemli. (2014). A quick artificial bee colony (qABC) algorithm and its performance on optimization problems. Applied Soft Computing. 23. 227–238. 241 indexed citations breakdown →
11.
Karaboğa, Derviş, Beyza Görkemli, Celal Öztürk, & Nurhan Karaboğa. (2012). A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review. 42(1). 21–57. 1439 indexed citations breakdown →
12.
Karaboğa, Derviş & Beyza Görkemli. (2012). A quick artificial bee colony -qABC- algorithm for optimization problems. 1–5. 26 indexed citations
13.
Haktanır, Tefaruk, Murat Çobaner, & Beyza Görkemli. (2012). Assessment of Right-Tail Prediction Ability of Some Distributions by Monte Carlo Analyses. Journal of Hydrologic Engineering. 18(5). 499–517. 3 indexed citations
14.
Baykasoğlu, Adil, et al.. (2012). Multi-colony ant algorithm for parallel assembly line balancing with fuzzy parameters. Journal of Intelligent & Fuzzy Systems. 23(6). 283–295. 10 indexed citations
15.
Karaboğa, Derviş, Celal Öztürk, Nurhan Karaboğa, & Beyza Görkemli. (2012). Artificial bee colony programming for symbolic regression. Information Sciences. 209. 1–15. 147 indexed citations
16.
Öztürk, Celal, Derviş Karaboğa, & Beyza Görkemli. (2012). Artificial bee colony algorithm for dynamic deployment of wireless sensor networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 82 indexed citations
17.
Öztürk, Celal, Derviş Karaboğa, & Beyza Görkemli. (2011). Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm. Sensors. 11(6). 6056–6065. 129 indexed citations
18.
Karaboğa, Derviş & Beyza Görkemli. (2011). A combinatorial Artificial Bee Colony algorithm for traveling salesman problem. 50–53. 128 indexed citations
19.
Özbakır, Lale, et al.. (2010). Multiple-colony ant algorithm for parallel assembly line balancing problem. Applied Soft Computing. 11(3). 3186–3198. 51 indexed citations
20.
Baykasoğlu, Adil, et al.. (2009). Balancing parallel assembly lines via Ant Colony Optimization. 103. 506–511. 12 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026