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Teresa Orlowska-Kowalska

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 36 5289 5080 10 9 255 6518

Teresa Orlowska-Kowalska publications per year

The chart shows the history of publications by Teresa Orlowska-Kowalska between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Teresa Orlowska-Kowalska published across 40 years, from 1986 to 2025, averaging 6.7 papers a year. Output peaked at 21 publications in 2010. 16 of the 268 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2010. 1986: 1 publication 1987: 0 publications 1988: 1 publication 1989: 2 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 2 publications 1999: 0 publications 2000: 3 publications 2001: 1 publication 2002: 5 publications 2003: 2 publications 2004: 7 publications 2005: 3 publications 2006: 11 publications 2007: 10 publications 2008: 14 publications 2009: 18 publications 2010: 21 publications 2011: 14 publications 2012: 16 publications 2013: 21 publications 2014: 14 publications 2015: 7 publications 2016: 9 publications 2017: 14 publications 2018: 10 publications 2019: 10 publications 2020: 8 publications 2021: 7 publications 2022: 12 publications 2023: 9 publications 2024: 9 publications 2025: 7 publications
1986 2025

268 publications in total across all disciplines

View publications per year as a table
Teresa Orlowska-Kowalska: publications per year, 1986 to 2025
Year Publications
1986 1
1987 0
1988 1
1989 2
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 2
1999 0
2000 3
2001 1
2002 5
2003 2
2004 7
2005 3
2006 11
2007 10
2008 14
2009 18
2010 21
2011 14
2012 16
2013 21
2014 14
2015 7
2016 9
2017 14
2018 10
2019 10
2020 8
2021 7
2022 12
2023 9
2024 9
2025 7
Total 268
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Teresa Orlowska-Kowalska 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 Teresa Orlowska-Kowalska sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 254–273 publications, is where this scientist sits. 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
34–53 publications 1,065+

This scientist: 255 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366 255
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Teresa Orlowska-Kowalska 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 Teresa Orlowska-Kowalska sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211 36
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Overview

Teresa Orlowska-Kowalska is affiliated with Wrocław University of Science and Technology in Poland. Their research primarily focuses on engineering with significant contributions in control and systems engineering, electrical and electronic engineering, and mechanical engineering. Some work also spans mechanics of materials and ocean engineering.

Their most frequent publication venues include:

  • Energies
  • IEEE Transactions on Industrial Electronics
  • Electronics
  • Bulletin of the Polish Academy of Sciences Technical Sciences
  • IEEE Access

They have explored a variety of topics in their research such as:

  • Machine Fault Diagnosis Techniques
  • Engineering Diagnostics and Reliability
  • Sensorless Control of Electric Motors
  • Electric Motor Design and Analysis
  • Electric Power Systems and Control
  • Fault Detection and Control Systems
  • Non-Destructive Testing Techniques

Some of their notable recent papers include:

  • Fault Diagnosis and Fault-Tolerant Control of PMSM Drives-State of the Art and Future Challenges, 2022, IEEE Access
  • Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor, 2020, Energies
  • Detection of Permanent Magnet Damage of PMSM Drive Based on Direct Analysis of the Stator Phase Currents Using Convolutional Neural Network, 2022, IEEE Transactions on Industrial Electronics
  • PMSM Stator Winding Fault Detection and Classification Based on Bispectrum Analysis and Convolutional Neural Network, 2022, IEEE Transactions on Industrial Electronics
  • Postfault Direct Field-Oriented Control of Induction Motor Drive Using Adaptive Virtual Current Sensor, 2021, IEEE Transactions on Industrial Electronics

The scientist collaborates frequently with several co-authors, including:

  • Maciej Skowron
  • Michał Adamczyk
  • C. T. Kowalski
  • Krystian Teler
  • Marcin Wolkiewicz

Overall, Teresa Orlowska-Kowalska's work encompasses a broad spectrum of engineering challenges, particularly in fault diagnosis and control systems in electric motor technologies. Their publications reflect ongoing investigations into machine fault diagnoses using data-driven and neural network approaches, sensorless control methodologies, and the reliability of electrical drives.

Best Publications

  • Industrial Applications of the Kalman Filter: A Review

    F. Auger;M. Hilairet;J. M. Guerrero;E. Monmasson

  • Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive

    T. Orlowska-Kowalska;M. Dybkowski

  • Vibration Suppression in a Two-Mass Drive System Using PI Speed Controller and Additional Feedbacks—Comparative Study

    K. Szabat;T. Orlowska-Kowalska

  • Adaptive Sliding-Mode Neuro-Fuzzy Control of the Two-Mass Induction Motor Drive Without Mechanical Sensors

    T. Orlowska-Kowalska;M. Dybkowski;K. Szabat

  • Neural networks application for induction motor faults diagnosis

    Czeslaw T. Kowalski;Teresa Orlowska-Kowalska

  • Performance Improvement of Industrial Drives With Mechanical Elasticity Using Nonlinear Adaptive Kalman Filter

    K. Szabat;T. Orlowska-Kowalska

  • FPGA Implementation of the Multilayer Neural Network for the Speed Estimation of the Two-Mass Drive System

    T. Orlowska-Kowalska;M. Kaminski

  • Constrained Model Predictive Control of the Drive System With Mechanical Elasticity

    M. Cychowski;K. Szabat;T. Orlowska-Kowalska

  • Application of extended Luenberger observer for flux and rotor time-constant estimation in induction motor drives

    T. Orlowska-Kowalska

  • Control of the Drive System With Stiff and Elastic Couplings Using Adaptive Neuro-Fuzzy Approach

    T. Orlowska-Kowalska;K. Szabat

  • Neural-Network Application for Mechanical Variables Estimation of a Two-Mass Drive System

    T. Orlowska-Kowalska;K. Szabat

  • Optimum Trajectory Control of the Current Vector of a Nonsalient-Pole PMSM in the Field-Weakening Region

    R. Nalepa;T. Orlowska-Kowalska

  • Advanced and Intelligent Control in Power Electronics and Drives

    Teresa Orlowska-Kowalska;Frede Blaabjerg;Jos Rodrguez

  • Damping of Torsional Vibrations in Two-Mass System Using Adaptive Sliding Neuro-Fuzzy Approach

    T. Orlowska-Kowalska;K. Szabat

  • Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive

    Marcin Wolkiewicz;Grzegorz Tarchala;Teresa Orlowska-Kowalska;Czeslaw T. Kowalski

  • Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

    Maciej Skowron;Teresa Orlowska-Kowalska;Marcin Wolkiewicz;Czeslaw T. Kowalski

  • Implementation of a Sliding-Mode Controller With an Integral Function and Fuzzy Gain Value for the Electrical Drive With an Elastic Joint

    Unknown

  • A review on MRAS-type speed estimators for reliable and efficient induction motor drives.

    Mateusz Korzonek;Grzegorz Tarchala;Teresa Orlowska-Kowalska

  • Optimization of fuzzy-logic speed controller for DC drive system with elastic joints

    T. Orlowska-Kowalska;K. Szabat

  • Application of the Kalman Filters to the High-Performance Drive System With Elastic Coupling

    K. Szabat;T. Orlowska-Kowalska

  • Original article: Sliding-mode direct torque control and sliding-mode observer with a magnetizing reactance estimator for the field-weakening of the induction motor drive

    T. Orlowska-Kowalska;G. Tarchala;M. Dybkowski

  • Advanced and Intelligent Control in Power Electronics and Drives 123

    Unknown

Frequent Co-Authors

Seiichiro Katsura
Seiichiro Katsura Keio University
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Eric Monmasson
Eric Monmasson CY Cergy Paris University
Frede Blaabjerg
Frede Blaabjerg Aalborg University
Emil Levi
Emil Levi Liverpool John Moores University
Marian P. Kazmierkowski
Marian P. Kazmierkowski Warsaw University of Technology
Marko Hinkkanen
Marko Hinkkanen Aalto University
Mariusz Malinowski
Mariusz Malinowski Warsaw University of Technology

External Links

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Related Online Degrees & Career Pathways

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Additionally, many online colleges now offer online colleges with weekly start dates, providing greater flexibility for students to begin their studies whenever it fits their schedule. This adaptability is invaluable for those pursuing careers in fast-evolving fields like electronics and electrical engineering.

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Publications: 14

Radu-Emil Precup

Radu-Emil Precup

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Publications: 14

Haitham Abu-Rub

Haitham Abu-Rub

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Publications: 11

Ralph Kennel

Ralph Kennel

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Publications: 11

Emil M. Petriu

Emil M. Petriu

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Publications: 11

Marian P. Kazmierkowski

Marian P. Kazmierkowski

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Publications: 10

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