World's Best Scientists 2026 revealed!
Erdal Kayacan

Erdal Kayacan

D-Index & Metrics

Computer Science

D-Index
42
Citations
6980
World Ranking
8436
National Ranking
38

Erdal Kayacan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Erdal Kayacan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Erdal Kayacan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Erdal Kayacan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Erdal Kayacan is affiliated with Aarhus University in Denmark and has a multidisciplinary research portfolio spanning engineering and computer science. The scientist's work primarily focuses on fields such as engineering with 61 publications and computer science with 56 publications. Within these broader fields, notable subfields include computer vision and pattern recognition, control and systems engineering, aerospace engineering, artificial intelligence, and mechanical engineering.

The scientist's research topics reflect specialization in robotics and sensor-based localization, robotic path planning algorithms, advanced neural network applications, adaptive control of nonlinear systems, advanced control systems optimization, fuzzy logic and control systems, and video surveillance and tracking methods.

Frequent coauthors collaborating with Erdal Kayacan include:

  • Huy Xuan Pham
  • Mojtaba Ahmadieh Khanesar
  • Okyay Kaynak
  • Jonas le Fevre Sejersen
  • Halil İbrahim Uğurlu

Publication venues where the scientist has contributed multiple articles include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 European Control Conference (ECC)
  • IEEE Transactions on Artificial Intelligence

Among recent papers authored or coauthored by Erdal Kayacan are:

  • Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism (2021, Mechatronics)
  • GridNet: Image-Agnostic Conditional Anomaly Detection for Indoor Surveillance (2021, IEEE Robotics and Automation Letters)
  • OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics (2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS))
  • Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots (2022, Robotics)
  • PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing (2022, IEEE Robotics and Automation Letters)

Erdal Kayacan has also contributed to academic book publishing with a title under Springer International Publishing:

  • Sliding-Mode Fuzzy Controllers (2021)

Best Publications

  • Grey system theory-based models in time series prediction

    Erdal Kayacan;Baris Ulutas;Okyay Kaynak

  • Model Predictive Control in Aerospace Systems: Current State and Opportunities

    Utku Eren;Anna Prach;Başaran Bahadır Koçer;Saša V. Raković

  • Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions

    Erdal Kayacan;Reinaldo Maslim

  • A Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System

    E. Kayacan;Y. Oniz;O. Kaynak

  • Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and Its Experimental Evaluation

    M. A. Khanesar;E. Kayacan;M. Teshnehlab;O. Kaynak

  • Detection of red and bicoloured apples on tree with an RGB-D camera

    Tien Thanh Nguyen;Koenraad Vandevoorde;Niels Wouters;Erdal Kayacan

  • Autonomous navigation of UAV by using real-time model-based reinforcement learning

    Nursultan Imanberdiyev;Changhong Fu;Erdal Kayacan;I-Ming Chen

  • AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

    Ilker Bozcan;Erdal Kayacan

  • Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers

    Erdal Kayacan;Erkan Kayacan;Herman Ramon;Okyay Kaynak

  • A Dynamic Method to Forecast the Wheel Slip for Antilock Braking System and Its Experimental Evaluation

    Y. Oniz;E. Kayacan;O. Kaynak

  • Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs

    Andriy Sarabakha;Changhong Fu;Erdal Kayacan;Tufan Kumbasar

  • Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Distributed nonlinear model predictive control of an autonomous tractor–trailer system

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function

    M. A. Khanesar;E. Kayacan;M. Teshnehlab;O. Kaynak

  • Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems

    Imo Eyoh;Robert John;Geert De Maere;Erdal Kayacan

  • Moving horizon estimation and nonlinear model predictive control for autonomous agricultural vehicles

    T. Kraus;H. J. Ferreau;E. Kayacan;H. Ramon

  • Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks—A Novel Learning Algorithm and a Comparative Study

    Erkan Kayacan;Erdal Kayacan;Mojtaba Ahmadieh Khanesar

  • Towards agrobots

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm

    Andon V. Topalov;Yesim Oniz;Erdal Kayacan;Okyay Kaynak

Frequent Co-Authors

Okyay Kaynak
Okyay Kaynak Boğaziçi University
Wouter Saeys
Wouter Saeys KU Leuven
Herman Ramon
Herman Ramon KU Leuven
I-Ming Chen
I-Ming Chen Nanyang Technological University
Robert John
Robert John University of Nottingham
Mohammad Teshnehlab
Mohammad Teshnehlab K.N.Toosi University of Technology
Mahmut Reyhanoglu
Mahmut Reyhanoglu University of North Carolina at Asheville
Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Sebastian Scherer
Sebastian Scherer Carnegie Mellon University
Robert L. K. Tiong
Robert L. K. Tiong Nanyang Technological University

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