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Nikos A. Aspragathos

Nikos A. Aspragathos

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
4451
World Ranking
6537
National Ranking
44

Nikos A. Aspragathos 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 Nikos A. Aspragathos 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: 178 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Nikos A. Aspragathos 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 Nikos A. Aspragathos 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Nikos A. Aspragathos is affiliated with the University of Patras in Greece and has contributed extensively to the field of engineering, with a focus on control and systems engineering. Their body of work includes research in several related subfields such as biomedical engineering, mechanical engineering, cognitive neuroscience, and computational mechanics.

Their research spans multiple main topics including:

  • Robot Manipulation and Learning
  • Muscle activation and electromyography studies
  • Robotic Mechanisms and Dynamics
  • 3D Shape Modeling and Analysis
  • Teleoperation and Haptic Systems
  • Motor Control and Adaptation
  • EEG and Brain-Computer Interfaces

Recent papers authored or coauthored by Aspragathos address various aspects of human-robot cooperation, manipulation, and task optimization. These include:

  • A neural network-based approach for variable admittance control in human-robot cooperation: online adjustment of the virtual inertia, 2020, Intelligent Service Robotics
  • A recurrent neural network for variable admittance control in human-robot cooperation: simultaneously and online adjustment of the virtual damping and Inertia parameters, 2020, International Journal of Intelligent Robotics and Applications
  • Task Location for High Performance Human-Robot Collaboration, 2020, Journal of Intelligent & Robotic Systems
  • Optimal Kinematic Task Position Determination-Application and Experimental Verification for the UR-5 Manipulator, 2022, Applied Sciences
  • Optimization of Dynamic Task Location within a Manipulator's Workspace for the Utilization of the Minimum Required Joint Torques, 2021, Electronics

Their collaboration network includes frequent coauthors such as Vassilis C. Moulianitis, Panagiotis Ν. Koustoumpardis, Abdel-Nasser Sharkawy, Charalampos Valsamos, and Dimitra Triantafyllou, indicating active joint research efforts in related domains.

Publications by Nikos A. Aspragathos frequently appear in venues specializing in robotics and intelligent systems, including:

  • Intelligent Service Robotics
  • Journal of Intelligent & Robotic Systems
  • Robotica
  • International Journal of Intelligent Robotics and Applications
  • Applied Sciences

Best Publications

  • Online Stability in Human-Robot Cooperation with Admittance Control

    Fotios Dimeas;Nikos Aspragathos

  • A comparative study of three methods for robot kinematics

    N.A. Aspragathos;J.K. Dimitros

  • Optimal robot task scheduling based on genetic algorithms

    P.Th. Zacharia;N.A. Aspragathos

  • Packaging of bio-MEMS: strategies, technologies, and applications

    T. Velten;H.H. Ruf;D. Barrow;N. Aspragathos

  • Design and fuzzy control of a robotic gripper for efficient strawberry harvesting

    Fotios Dimeas;Dhionis V. Sako;Vassilis C. Moulianitis;Nikos A. Aspragathos

  • Fuzzy logic grasp control using tactile sensors

    N.I Glossas;N.A Aspragathos

  • A model for concept evaluation in design––an application to mechatronics design of robot grippers

    V.C. Moulianitis;N.A. Aspragathos;A.J. Dentsoras

  • Human–robot collisions detection for safe human–robot interaction using one multi-input–output neural network

    Abdel-Nasser Sharkawy;Abdel-Nasser Sharkawy;Panagiotis N. Koustoumpardis;Nikos A. Aspragathos

  • Fuzzy learning variable admittance control for human-robot cooperation

    Fotios Dimeas;Nikos A. Aspragathos

  • Obstacle representation by Bump-surfaces for optimal motion-planning

    Phillip N. Azariadis;Nikos A. Aspragathos

  • Reinforcement learning of variable admittance control for human-robot co-manipulation

    Fotios Dimeas;Nikos Aspragathos

  • Variable admittance control in pHRI using EMG-based arm muscles co-activation

    Stavros Grafakos;Fotios Dimeas;Nikos Aspragathos

  • Task scheduling and motion planning for an industrial manipulator

    Paraskevi Th. Zacharia;Elias K. Xidias;Nikos A. Aspragathos

  • Neural Network Design for Manipulator Collision Detection Based Only on the Joint Position Sensors

    Abdel-Nasser Sharkawy;Panagiotis N. Koustoumpardis;Nikos A. Aspragathos

  • Human-Robot Collision Detection Based on Neural Networks

    Abdel-Nasser Sharkawy;Nikos Aspragathos

  • Human - robot collision detection and identification based on fuzzy and time series modelling

    Fotios Dimeas;Luis David Avendaño-Valencia;Nikos A. Aspragathos

  • Optimal location of a general position and orientation end-effector's path relative to manipulator's base, considering velocity performance

    Athanasios Nektarios;Nikos A. Aspragathos

  • A geometric approach to robotic unfolding of garments

    Dimitra Triantafyllou;Ioannis Mariolis;Andreas Kargakos;Sotiris Malassiotis

  • Intelligent hierarchical robot control for sewing fabrics

    Panagiotis N. Koustoumpardis;Nikos A. Aspragathos

  • Variable Admittance Control for Human-Robot Collaboration based on Online Neural Network Training

    Abdel-Nasser Sharkawy;Panagiotis N. Koustournpardis;Nikos Aspragathos

  • Fuzzy logic path planning for the robotic placement of fabrics on a work table

    G. T. Zoumponos;N. A. Aspragathos

  • A Frequency Domain Approach for Contact Type Distinction in Human–Robot Collaboration

    Alexandros Kouris;Fotios Dimeas;Nikos A. Aspragathos

Frequent Co-Authors

Andrew D. Dimarogonas
Andrew D. Dimarogonas University of Washington
Anthony Tzes
Anthony Tzes New York University Abu Dhabi
Kristin Y. Pettersen
Kristin Y. Pettersen Norwegian University of Science and Technology
Roberto Teti
Roberto Teti University of Naples Federico II
Dimitris Kiritsis
Dimitris Kiritsis École Polytechnique Fédérale de Lausanne

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