World's Best Scientists 2026 revealed!
Yaman Arkun

Yaman Arkun

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
4542
World Ranking
6290
National Ranking
21

Yaman Arkun publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Yaman Arkun sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 133 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Yaman Arkun D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yaman Arkun sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Yaman Arkun is a researcher affiliated with Koç University in Turkey, specializing in the field of Engineering with a focus on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Materials Chemistry, and Renewable Energy, Sustainability and the Environment.

Their research concentrates primarily on topics related to Fuel Cells and Related Materials, with significant work involving Advancements in Solid Oxide Fuel Cells and Electric and Hybrid Vehicle Technologies. Additional research interests include Electrocatalysts for Energy Conversion, Advanced Battery Technologies Research, Iron and Steelmaking Processes, and Catalysts for Methane Reforming.

Yaman Arkun has contributed to a range of scholarly articles published in several venues. Frequent publication platforms include:

  • Computers & Chemical Engineering
  • SSRN Electronic Journal
  • IFAC-PapersOnLine
  • Systems and Control Transactions

Recent papers authored or co-authored by Yaman Arkun cover various topics and include the following:

  • Water and thermal management in PEM fuel cells using feasible humidity plots and model predictive controllers, 2024, Computers & Chemical Engineering
  • An Integrated Application of Control Performance Assessment and Root Cause Analysis in Refinery Control Loops, 2020, IFAC-PapersOnLine
  • Real-time optimal power sharing in multi-stack fuel cells, 2025, Computers & Chemical Engineering
  • Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos, 2022, Computers & Chemical Engineering
  • Water and Thermal Management in Pem Fuel Cells Using Feasible Humidity Plots and Model Predictive Controllers, 2024, SSRN Electronic Journal

Yaman Arkun often collaborates with other researchers. Frequent co-authors include:

  • Deniz Yıldız
  • Beril Tümer
  • Anne Firstauthor
  • Tim B. Secondauthor
  • James Q. Thirdauthora

Best Publications

  • Quasi-Min-Max MPC algorithms for LPV systems

    Yaohui Lu;Yaman Arkun

  • Studies in the synthesis of control structures for chemical processes: Part I: Formulation of the problem. Process decomposition and the classification of the control tasks. Analysis of the optimizing control structures

    Manfred Morari;Yaman Arkun;George Stephanopoulos

  • Control of nonlinear systems using polynomial ARMA models

    Evelio Hernández;Yaman Arkun

  • Synthesis of decentralized process control structures using the concept of block relative gain

    Vasilios Manousiouthakis;Robert Savage;Yaman Arkun

  • Feedforward and feedback linearization of nonlinear system and its implementation using internal model control (IMC)

    Jean Paul Calvet;Yaman Arkun

  • Estimation of nonlinear systems using linear multiple models

    A. Banerjee;Y. Arkun;B. Ogunnaike;R. Pearson

  • A nonlinear DMC algorithm and its application to a semibatch polymerization reactor

    T. Peterson;E. Hernández;Y. Arkun;F.J. Schork

  • A new approach to defining a dynamic relative gain

    Thomas Mc Avoy;Yaman Arkun;Rong Chen;Derek Robinson

  • Study of the control-relevant properties of backpropagation neural network models of nonlinear dynamical systems

    E. Hernández;Y. Arkun

  • Nonlinear identification and control of a high-purity distillation column: a case study

    G. Ravi Sriniwas;Y. Arkun;I-Lung Chien;Bubatunde A. Ogunnaike

  • Gap Metric Concept and Implications for Multilinear Model-Based Controller Design

    Omar Galán;Jose A. Romagnoli;Ahmet Palazoǧlu, ,§ and;Yaman Arkun

  • Studies in the synthesis of control structures for chemical processes: Part IV. Design of steady‐state optimizing control structures for chemical process units

    Yaman Arkun;George Stephanopoulos

  • A methodology for sequential design of robust decentralized control systems

    Min-Sen Chiu;Yaman Arkun

  • Neural Network Modeling and an Extended DMC Algorithm to Control Nonlinear Systems

    Evelio Hernandaz;Yaman Arkun

  • Decentralized control structure selection based on integrity considerations

    Min Sen Chiu;Yaman Arkun

  • Control configuration design applied to the Tennessee Eastman plant-wide control problem

    A. Banerjee;Y. Arkun

  • A general method to calculate input-output gains and the relative gain array for integrating processes

    Y. Arkun;J. Downs

  • Interaction measures for nonsquare decentralized control structures

    D. E. Reeves;Y. Arkun

  • Optimization of Operations in Supply Chain Systems Using Hybrid Systems Approach and Model Predictive Control

    Esen Mestan;Metin Türkay;Yaman Arkun

  • A multiobjective approach to design chemical plants with robust dynamic operability characteristics

    A. Palazoglu;Y. Arkun

  • Robustness analysis of process control systems. A case study of decoupling control in distillation

    Yaman Arkun;Billy Manousiouthakis;Ahmet Palazoglu

  • A global solution to the nonlinear model predictive control algorithms using polynomial ARX models

    G. Ravi Sriniwas;Yaman Arkun

Frequent Co-Authors

Ahmet Palazoglu
Ahmet Palazoglu University of California, Davis
Burak Erman
Burak Erman Koç University
Babatunde A. Ogunnaike
Babatunde A. Ogunnaike University of Delaware
Francis J. Doyle
Francis J. Doyle Brown University
Sebastian Engell
Sebastian Engell TU Dortmund University
Attila Gursoy
Attila Gursoy Koç University
Manfred Morari
Manfred Morari University of Pennsylvania
I-Lung Chien
I-Lung Chien National Taiwan University
Jose A. Romagnoli
Jose A. Romagnoli Louisiana State University

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