Tansel Dökeroğlu

2.2k total citations · 2 hit papers
44 papers, 1.6k citations indexed

About

Tansel Dökeroğlu is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Tansel Dökeroğlu has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Industrial and Manufacturing Engineering and 13 papers in Computer Networks and Communications. Recurrent topics in Tansel Dökeroğlu's work include Metaheuristic Optimization Algorithms Research (20 papers), Vehicle Routing Optimization Methods (9 papers) and Scheduling and Timetabling Solutions (6 papers). Tansel Dökeroğlu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Vehicle Routing Optimization Methods (9 papers) and Scheduling and Timetabling Solutions (6 papers). Tansel Dökeroğlu collaborates with scholars based in Türkiye, United Kingdom and United States. Tansel Dökeroğlu's co-authors include Ahmet Coşar, Ender Sevinç, Tayfun Küçükyılmaz, Hakan Ezgi Kızılöz, Ayça Deniz, Murat Ali Bayır, Adnan Yazıcı, El‐Ghazali Talbi, Seyyit Alper Sert and Bilge Say and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Tansel Dökeroğlu

42 papers receiving 1.5k citations

Hit Papers

A survey on new generation metaheuristic algorithms 2019 2026 2021 2023 2019 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on new generation metaheuristic algorithms
    2019 649 citations Tansel Dökeroğlu, Ender Sevinç et al. Computers & Industrial Engineering profile →
  2. A comprehensive survey on recent metaheuristics for feature selection
    2022 216 citations Tansel Dökeroğlu, Ayça Deniz et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tansel Dökeroğlu Türkiye 18 832 311 298 238 225 44 1.6k
Thomas Weise China 23 1.0k 1.2× 454 1.5× 180 0.6× 211 0.9× 286 1.3× 105 1.9k
Ricardo Soto Chile 20 702 0.8× 179 0.6× 484 1.6× 147 0.6× 218 1.0× 179 1.5k
Broderick Crawford Chile 20 656 0.8× 176 0.6× 480 1.6× 144 0.6× 213 0.9× 166 1.4k
Xiaohu Shi China 16 885 1.1× 327 1.1× 304 1.0× 206 0.9× 144 0.6× 64 1.7k
El‐Ghazali Talbi France 12 697 0.8× 427 1.4× 531 1.8× 134 0.6× 297 1.3× 36 1.8k
Rafael Stubs Parpinelli Brazil 13 811 1.0× 263 0.8× 120 0.4× 192 0.8× 160 0.7× 62 1.4k
Lianbo Ma China 26 912 1.1× 503 1.6× 200 0.7× 289 1.2× 449 2.0× 119 2.1k
Liangjun Ke China 17 550 0.7× 354 1.1× 531 1.8× 288 1.2× 148 0.7× 54 1.4k
Eneko Osaba Spain 23 1.3k 1.5× 551 1.8× 528 1.8× 212 0.9× 288 1.3× 108 2.5k

Countries citing papers authored by Tansel Dökeroğlu

Since Specialization
Citations

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

Fields of papers citing papers by Tansel Dökeroğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tansel Dökeroğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Tansel Dökeroğlu. A scholar is included among the top collaborators of Tansel Dökeroğlu 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 Tansel Dökeroğlu. Tansel Dökeroğlu 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.
Dökeroğlu, Tansel & Tayfun Küçükyılmaz. (2025). Multi-objective Harris Hawk metaheuristic algorithms for the diagnosis of Parkinson’s disease. Expert Systems with Applications. 270. 126503–126503. 2 indexed citations
2.
Dökeroğlu, Tansel, et al.. (2025). New Harris Hawks algorithms for the Close-Enough Traveling Salesman Problem. Intelligent Systems with Applications. 28. 200586–200586.
3.
Say, Bilge, et al.. (2023). A New Greedy Algorithm for the Curriculum-based Course Timetabling Problem. SHILAP Revista de lepidopterología. 11(2). 1121–1136. 1 indexed citations
4.
Dökeroğlu, Tansel, et al.. (2023). A new parallel tabu search algorithm for the optimization of the maximum vertex weight clique problem. Concurrency and Computation Practice and Experience. 36(2). 1 indexed citations
5.
Dökeroğlu, Tansel. (2023). A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients. PeerJ Computer Science. 9. e1430–e1430. 1 indexed citations
6.
Dökeroğlu, Tansel, et al.. (2023). A new robust Harris Hawk optimization algorithm for large quadratic assignment problems. Neural Computing and Applications. 35(17). 12531–12544. 3 indexed citations
7.
Deniz, Ayça, Hakan Ezgi Kızılöz, Ender Sevinç, & Tansel Dökeroğlu. (2022). Predicting the severity of COVID‐19 patients using a multi‐threaded evolutionary feature selection algorithm. Expert Systems. 39(5). 7 indexed citations
8.
Dökeroğlu, Tansel, et al.. (2020). Robust parallel hybrid artificial bee colony algorithms for the multi-dimensional numerical optimization. The Journal of Supercomputing. 76(9). 7026–7046. 12 indexed citations
9.
Yazıcı, Adnan, et al.. (2020). Analysis of Multiobjective Algorithms for the Classification of Multi-Label Video Datasets. IEEE Access. 8. 163937–163952. 6 indexed citations
10.
Sevinç, Ender & Tansel Dökeroğlu. (2019). A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 1523–1533. 15 indexed citations
11.
Dökeroğlu, Tansel, Ender Sevinç, & Ahmet Coşar. (2019). Artificial bee colony optimization for the quadratic assignment problem. Applied Soft Computing. 76. 595–606. 74 indexed citations
12.
Sevinç, Ender & Tansel Dökeroğlu. (2019). A novel parallel local search algorithm for the maximum vertex weight clique problem in large graphs. Soft Computing. 24(5). 3551–3567. 7 indexed citations
13.
Dökeroğlu, Tansel, et al.. (2018). Context-sensitive and keyword density-based supervised machine learning techniques for malicious webpage detection. Soft Computing. 23(12). 4177–4191. 34 indexed citations
14.
Kızılöz, Hakan Ezgi, Ayça Deniz, Tansel Dökeroğlu, & Ahmet Coşar. (2018). Novel multiobjective TLBO algorithms for the feature subset selection problem. Neurocomputing. 306. 94–107. 53 indexed citations
15.
Deniz, Ayça, Hakan Ezgi Kızılöz, Tansel Dökeroğlu, & Ahmet Coşar. (2017). Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques. Neurocomputing. 241. 128–146. 45 indexed citations
16.
Dökeroğlu, Tansel, et al.. (2016). A stagnation-aware cooperative parallel breakout local search algorithm for the quadratic assignment problem. Computers & Industrial Engineering. 103. 105–115. 18 indexed citations
17.
Dökeroğlu, Tansel, et al.. (2014). Improving the performance of Hadoop Hive by sharing scan and computation tasks. Journal of Cloud Computing Advances Systems and Applications. 3(1). 15 indexed citations
18.
Dökeroğlu, Tansel & Ahmet Coşar. (2014). Optimization of one-dimensional Bin Packing Problem with island parallel grouping genetic algorithms. Computers & Industrial Engineering. 75. 176–186. 38 indexed citations
19.
Dökeroğlu, Tansel, et al.. (2013). A robust Island Parallel Genetic Algorithm for the Quadratic Assignment Problem. International Journal of Production Research. 51(14). i–ii. 5 indexed citations
20.
Dökeroğlu, Tansel, et al.. (2012). Particle Swarm Intelligence as a new heuristic for the optimization of distributed database queries. 7. 1–7. 4 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.

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