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Matthias Patzold

Matthias Patzold

University of Agder
Norway

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 39 4605 4420 15 15 334 8967

Matthias Patzold publications per year

The chart shows the history of publications by Matthias Patzold between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matthias Patzold published across 40 years, from 1986 to 2025, averaging 8.9 papers a year. Output peaked at 28 publications in 2010. 9 of the 355 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2010. 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 1 publication 1994: 2 publications 1995: 0 publications 1996: 6 publications 1997: 1 publication 1998: 4 publications 1999: 3 publications 2000: 5 publications 2001: 2 publications 2002: 6 publications 2003: 20 publications 2004: 17 publications 2005: 8 publications 2006: 8 publications 2007: 16 publications 2008: 16 publications 2009: 26 publications 2010: 28 publications 2011: 25 publications 2012: 15 publications 2013: 12 publications 2014: 14 publications 2015: 12 publications 2016: 7 publications 2017: 18 publications 2018: 18 publications 2019: 17 publications 2020: 12 publications 2021: 16 publications 2022: 3 publications 2023: 5 publications 2024: 6 publications 2025: 3 publications
1986 2025

355 publications in total across all disciplines

View publications per year as a table
Matthias Patzold: publications per year, 1986 to 2025
Year Publications
1986 1
1987 0
1988 0
1989 1
1990 0
1991 0
1992 1
1993 1
1994 2
1995 0
1996 6
1997 1
1998 4
1999 3
2000 5
2001 2
2002 6
2003 20
2004 17
2005 8
2006 8
2007 16
2008 16
2009 26
2010 28
2011 25
2012 15
2013 12
2014 14
2015 12
2016 7
2017 18
2018 18
2019 17
2020 12
2021 16
2022 3
2023 5
2024 6
2025 3
Total 355
Download as CSV

Matthias Patzold publications per year - data summary

  • Matthias Patzold, a Electronics and Electrical Engineering scholar from University of Agder, has 355 publications recorded across 40 years, from 1986 to 2025.
  • The oldest publication on record dates to 1986 and the most recent to 2025.
  • The most productive year is 2010, with 28 publications.
  • The least productive years with any output are 1986, 1989, 1992, 1993 and others, with 1 publication each.
  • 5 of the 40 years in the span carry no publications at all (1987, 1988, 1990, 1991 and others).
  • The rate of publication averages 8.9 papers per year over the whole span, or 10.1 per year counting only the 35 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 33 publications, 9% of the career total.
  • Split into equal eras - 1986-1999: 20 publications (1.4 per year); 2000-2013: 204 publications (14.6 per year); 2014-2025: 131 publications (10.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Matthias Patzold 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 Matthias Patzold 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, 334–353 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: 334 publications — 64th percentile

64% 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
274–293 335
294–313 300
314–333 276
334–353 250 334
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
Download as CSV

Matthias Patzold publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Matthias Patzold, a Electronics and Electrical Engineering scholar from University of Agder, records 334 publications - the 64th percentile of the discipline.
  • 64% of ranked Electronics and Electrical Engineering scientists score the same or lower than Matthias Patzold, and about 36% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Matthias Patzold ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Matthias Patzold 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 Matthias Patzold 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, 39 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: 39 D-Index — 33rd percentile

33% 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
37 220
38 214
39 214 39
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

Matthias Patzold D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Matthias Patzold, a Electronics and Electrical Engineering scholar from University of Agder, records 39 D-Index - the 33rd percentile of the discipline.
  • 33% of ranked Electronics and Electrical Engineering scientists score the same or lower than Matthias Patzold, and about 67% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Matthias Patzold ranks below the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Matthias Patzold is affiliated with the University of Agder in Norway and has contributed extensively to the field of Engineering, with a primary focus on Electrical and Electronic Engineering.

Their research covers a diverse range of subfields including:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Biomedical Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications

Patzold's work is centered around several specialized topics such as:

  • Indoor and Outdoor Localization Technologies
  • Advanced SAR Imaging Techniques
  • Non-Invasive Vital Sign Monitoring
  • Millimeter-Wave Propagation and Modeling
  • Radar Systems and Signal Processing
  • Advanced MIMO Systems Optimization
  • Wireless Networks and Protocols

The scientist has published numerous papers in reputable venues, frequently contributing to the following journals:

  • IEEE Access
  • IEEE Vehicular Technology Magazine
  • Sensors
  • IEEE Sensors Journal
  • Annals of Telecommunications

Some of the recent notable papers include:

  • Channel Modeling and System Concepts for Future Terahertz Communications: Getting Ready for Advances Beyond 5G (2020) in IEEE Vehicular Technology Magazine
  • Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems (2021) in Annals of Telecommunications
  • WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities (2020) in IEEE Access
  • Direction-Independent Human Activity Recognition Using a Distributed MIMO Radar System and Deep Learning (2023) in IEEE Sensors Journal
  • Modelling, Analysis, and Simulation of the Micro-Doppler Effect in Wideband Indoor Channels with Confirmation Through Pendulum Experiments (2020) in Sensors

Collaboration plays a significant role in their research, as highlighted by frequent co-authors including:

  • Muhammad Muaaz
  • Sahil Waqar
  • Altay Zhakatayev
  • Yuri V. Rogovchenko
  • Ahmed Abdelgawwad

Matthias Patzold's publications reflect contributions to advanced wireless communications systems, human activity recognition using multiple sensing modalities, and radar signal processing methods. The diversity of publication venues and interdisciplinary coauthors indicate active engagement in multiple areas of research relevant to engineering and technology development.

Best Publications

  • Mobile Fading Channels

    Matthias Patzold

  • Mobile Fading Channels: Modelling,Analysis and Simulation

    Matthias Patzold

  • On the statistical properties of deterministic simulation models for mobile fading channels

    M. Patzold;U. Killat;F. Laue;Yingchun Li

  • A deterministic digital simulation model for Suzuki processes with application to a shadowed Rayleigh land mobile radio channel

    M. Patzold;U. Killat;F. Laue

  • Modeling, analysis, and simulation of MIMO mobile-to-mobile fading channels

    M. Patzold;B.O. Hogstad;N. Youssef

  • A wideband MIMO channel model derived from the geometric elliptical scattering model

    Matthias Pätzold;Bjørn Olav Hogstad

  • Mobile Radio Channels: Pätzold/Mobile Radio Channels

    Unknown

  • A study of a land mobile satellite channel model with asymmetrical Doppler power spectrum and lognormally distributed line-of-sight component

    M. Patzold;Yingchun Li;F. Laue

  • An extended Suzuki model for land mobile satellite channels and its statistical properties

    M. Patzold;U. Killat;F. Laue

  • A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition

    Ali Chelli;Matthias Patzold

  • A study on the second order statistics of Nakagami-Hoyt mobile fading channels

    N. Youssef;Cheng-Xiang Wang;M. Patzold

  • A space-time channel simulator for MIMO channels based on the geometrical one-ring scattering model

    M. Patzold;J.A. Hogstad

  • A space‐time channel simulator for MIMO channels based on the geometrical one‐ring scattering model

    Matthias Pätzold;Bjørn Olav Hogstad

  • Two new sum-of-sinusoids-based methods for the efficient generation of multiple uncorrelated rayleigh fading waveforms

    M. Patzold;Cheng-Xiang Wang;B. Hogstad

  • Channel Models for Mobile-to-Mobile Cooperative Communication Systems: A State of the Art Review

    Batool Talha;Matthias Patzold

  • A MIMO Mobile-To-Mobile Channel Model: Part I - The Reference Model

    M. Patzold;B.O. Hogstad;N. Youssef;Dongwoo Kim

  • Statistical properties of Jakes' fading channel simulator

    M. Patzold;F. Laue

  • Correlation and Spectral Properties of Vehicle-to-Vehicle Channels in the Presence of Moving Scatterers

    Alireza Borhani;Matthias Patzold

  • A Mimo Mobile-To-Mobile Channel Model: Part II - The Simulation Model

    B.O. Hogstad;M. Patzold;N. Youssef;Dongwoo Kim

  • A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations

    Wiem Dahech;Matthias Patzold;Carlos A. Gutierrez;Neji Youssef

  • Level-crossing rate and average duration of fades of deterministic simulation models for Rice fading channels

    M. Patzold;F. Laue

Frequent Co-Authors

Cheng-Xiang Wang
Cheng-Xiang Wang Southeast University
Alenka Zajic
Alenka Zajic Georgia Institute of Technology
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Kainam Thomas Wong
Kainam Thomas Wong Hong Kong Polytechnic University
Claude Oestges
Claude Oestges Université Catholique de Louvain
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
John R. Barry
John R. Barry Georgia Institute of Technology
Harald Haas
Harald Haas University of Cambridge
Gordon L. Stuber
Gordon L. Stuber Georgia Institute of Technology

External Links

Personal website of Matthias Patzold Google Scholar page

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Exploring these pathways can enhance career flexibility and open doors to new opportunities within and beyond the core Engineering disciplines.

Best Scientists Citing Matthias Patzold

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Publications: 67

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Bo Ai

Bo Ai

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Alenka Zajic

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Publications: 23

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Mohamed-Slim Alouini

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Publications: 22

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Fredrik Tufvesson

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Michel Daoud Yacoub

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Publications: 12

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