World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4314
World Ranking
5864
National Ranking
167

Joachim Bocker 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 Joachim Bocker 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: 246 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Joachim Bocker 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 Joachim Bocker 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Overview

Joachim Bocker is affiliated with the University of Paderborn in Germany and has a substantial body of research primarily within the field of engineering. Their work is focused on electrical and electronic engineering, mechanical engineering, control and systems engineering, as well as the study of electronic, optical, and magnetic materials. The research topics they cover include multilevel inverters and converters, sensorless control of electric motors, electric motor design and analysis, advanced DC-DC converters, magnetic properties and applications, silicon carbide semiconductor technologies, and model reduction and neural networks.

The scientist's publication record includes contributions across several prominent venues. Most notably, they have published extensively in the IEEE Transactions on Power Electronics. Other frequent publication venues include the 2022 International Power Electronics Conference (IPEC-Himeji 2022-ECCE Asia), arXiv (Cornell University), IEEE Open Journal of Industry Applications, and IET conference proceedings.

Recent papers authored or co-authored by Bocker feature a range of topics related to electric motor technology and power electronics, including:

  • "Estimating Electric Motor Temperatures With Deep Residual Machine Learning," 2020, IEEE Transactions on Power Electronics
  • "Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control," 2022, IEEE Transactions on Power Electronics
  • "Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning," 2022, Engineering Applications of Artificial Intelligence
  • "Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors," 2021, IEEE Transactions on Industrial Informatics
  • "Interleaved Single-Stage LLC Converter Design Utilizing Half- and Full-Bridge Configurations for Wide Voltage Transfer Ratio Applications," 2021, IEEE Transactions on Power Electronics

Joachim Bocker has collaborated frequently with several co-authors, including Oliver Wallscheid, Anian Brosch, Frank Schafmeister, Philipp Rehlaender, and Wilhelm Kirchgässner. These collaborations have resulted in multiple publications, highlighting a consistent network of research partnership within their fields of study.

Best Publications

  • Global Identification of a Low-Order Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors

    Oliver Wallscheid;Joachim Bocker

  • Active damping of drive train oscillations for an electrically driven vehicle

    N. Amann;J. Bocker;F. Prenner

  • Estimating Electric Motor Temperatures With Deep Residual Machine Learning

    Wilhelm Kirchgassner;Oliver Wallscheid;Joachim Bocker

  • State of the Art of Induction Motor Control

    J. Bocker;S. Mathapati

  • Optimum Control for Interior Permanent Magnet Synchronous Motors (IPMSM) in Constant Torque and Flux Weakening Range

    Michael Meyer;Joachim Bocker

  • Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors

    Anian Brosch;Soren Hanke;Oliver Wallscheid;Joachim Bocker

  • Optimal energy management for a hybrid energy storage system for electric vehicles based on Stochastic Dynamic Programming

    Christoph Romaus;Kai Gathmann;Joachim Bocker

  • Optimal energy management for a hybrid energy storage system combining batteries and double layer capacitors

    Christoph Romaus;Joachim Bocker;Katrin Witting;Albert Seifried

  • Analysis and design of improved isolated full-bridge bidirectional DC-DC converter

    Rongyuan Li;A. Pottharst;N. Frohleke;J. Bocker

  • Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities

    Oliver Wallscheid;Andreas Specht;Joachim Bocker

  • Determination of rotor temperature for an interior permanent magnet synchronous machine using a precise flux observer

    Andreas Specht;Oliver Wallscheid;Joachim Bocker

  • High-current variable-voltage rectifiers: state of the art topologies

    Jitendra Solanki;Norbert Fröhleke;Joachim Böcker;Andreas Averberg

  • Observer for the rotor temperature of IPMSM

    Andreas Specht;Joachim Bocker

  • Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.

    Wilhelm Kirchgässner;Oliver Wallscheid;Joachim Böcker

  • Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control

    Unknown

  • Can oversampling improve the dynamics of PWM controls

    Joachim Bocker;Oleg Buchholz

  • On the control bandwidth of servo drives

    Joachim Bocker;Stephan Beineke;Alexander Bahr

  • Adaptive digital slope compensation for peak current mode control

    T. Grote;F. Schafmeister;H. Figge;N. Frohleke

  • Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors

    Oliver Wallscheid;Wilhelm Kirchgassner;Joachim Bocker

  • Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter

    Daniel Efren Gaona Erazo;Oliver Wallscheid;Joachim Bocker

  • Linear switched reluctance motor as a high efficiency propulsion system for railway vehicles

    L. Kolomeitsev;D. Kraynov;S. Pakhomin;F. Rednov

  • Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors

    Wilhelm Kirchgassner;Oliver Wallscheid;Joachim Bocker

  • Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors — A review

    Oliver Wallscheid;Tobias Huber;Wilhelm Peters;Joachim Bocker

  • Implementation of Hybrid Filter for 12-Pulse Thyristor Rectifier Supplying High-Current Variable-Voltage DC Load

    Jitendra Solanki;Norbert Frohleke;Joachim Bocker

Frequent Co-Authors

Sven Bölte
Sven Bölte Karolinska Institute
Michael Dellnitz
Michael Dellnitz University of Paderborn
Dirk Uwe Sauer
Dirk Uwe Sauer RWTH Aachen University
Eugeny Y. Kenig
Eugeny Y. Kenig University of Paderborn

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