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Dervis Karaboga

Dervis Karaboga

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Computer Science
Turkey
2026

D-Index & Metrics

Computer Science

D-Index
60
Citations
46791
World Ranking
3149
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Turkey Leader Award
  • 2025 - Research.com Computer Science in Turkey Leader Award
  • 2022 - Research.com Computer Science in Turkey Leader Award

Overview

Dervis Karaboga is affiliated with Erciyes University in Turkey, with a research focus spanning computer science, medicine, and engineering. Their work emphasizes artificial intelligence and its applications to medical fields, particularly oncology and radiology.

Their principal areas of study include:

  • Computer Science
  • Medicine
  • Engineering

Within these fields, Karaboga's research explores several subfields such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Oncology
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Their main research topics reflect the interdisciplinary nature of their work, focusing on:

  • COVID-19 diagnosis using AI
  • Metaheuristic Optimization Algorithms Research
  • AI in cancer detection
  • Colorectal Cancer Screening and Detection
  • Radiomics and Machine Learning in Medical Imaging
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms

Dervis Karaboga has contributed to multiple peer-reviewed journals, with frequent publications in venues such as:

  • Computers in Biology and Medicine
  • Applied Soft Computing
  • Neural Computing and Applications
  • TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
  • Engineering Applications of Artificial Intelligence

Some of their recent papers include:

  • "A comprehensive review of deep learning in colon cancer," 2020, Computers in Biology and Medicine
  • "A robust real-time deep learning based automatic polyp detection system," 2021, Computers in Biology and Medicine
  • "A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems," 2022, Engineering Applications of Artificial Intelligence
  • "An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets," 2021, Computers in Biology and Medicine
  • "A comprehensive survey on optimizing deep learning models by metaheuristics," 2021, Artificial Intelligence Review

Collaboration is an essential aspect of Karaboga's research, with frequent coauthors including:

  • Bahriye Akay
  • Alper Baştürk
  • İshak Paçal
  • Özkan Ufuk Nalbantoğlu
  • Ufuk Nalbantoğlu

Best Publications

  • A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

    Dervis Karaboga;Bahriye Basturk

  • AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION

    D Karaboga

  • On the performance of artificial bee colony (ABC) algorithm

    D. Karaboga;B. Basturk

  • A comparative study of Artificial Bee Colony algorithm

    Dervis Karaboga;Bahriye Akay

  • A comprehensive survey: artificial bee colony (ABC) algorithm and applications

    Dervis Karaboga;Beyza Gorkemli;Celal Ozturk;Nurhan Karaboga

  • Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems

    Dervis Karaboga;Bahriye Basturk

  • A modified Artificial Bee Colony algorithm for real-parameter optimization

    Bahriye Akay;Dervis Karaboga

  • A novel clustering approach: Artificial Bee Colony (ABC) algorithm

    Dervis Karaboga;Celal Ozturk

  • Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks

    D. T. Pham;D. Karaboga

  • A survey: algorithms simulating bee swarm intelligence

    Dervis Karaboga;Bahriye Akay

  • A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems

    Dervis Karaboga;Bahriye Akay

  • Artificial Bee Colony Algorithm

    Dervis Karaboga

  • Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

    Dervis Karaboga;Ebubekir Kaya

  • Artificial bee colony algorithm for large-scale problems and engineering design optimization

    Bahriye Akay;Dervis Karaboga

  • Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks

    Dervis Karaboga;Bahriye Akay;Celal Ozturk

  • Cluster based wireless sensor network routing using artificial bee colony algorithm

    Dervis Karaboga;Selcuk Okdem;Celal Ozturk

  • A quick artificial bee colony (qABC) algorithm and its performance on optimization problems

    Dervis Karaboga;Beyza Gorkemli

  • Pareto front feature selection based on artificial bee colony optimization

    Emrah Hancer;Emrah Hancer;Bing Xue;Mengjie Zhang;Dervis Karaboga

  • Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks

    D. Karaboga;B. Akay

  • On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

    Marjan Mernik;Shih-Hsi Liu;Dervis Karaboga;Matej Črepinšek

Frequent Co-Authors

Duc Truong Pham
Duc Truong Pham University of Birmingham
Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Bing Xue
Bing Xue Victoria University of Wellington
Marjan Mernik
Marjan Mernik University of Maribor

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