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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 65 1190 1135 32 32 973 20575
Computer Science 66 2284 2215 94 91 1075 21909

Alois Knoll publications per year

The chart shows the history of publications by Alois Knoll between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alois Knoll published across 41 years, from 1986 to 2026, averaging 41.3 papers a year. Output peaked at 165 publications in 2024. 147 of the 1,693 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 165. Peak 165 publications in 2024. 1986: 1 publication 1987: 0 publications 1988: 2 publications 1989: 3 publications 1990: 3 publications 1991: 4 publications 1992: 8 publications 1993: 9 publications 1994: 5 publications 1995: 7 publications 1996: 6 publications 1997: 13 publications 1998: 23 publications 1999: 22 publications 2000: 17 publications 2001: 25 publications 2002: 8 publications 2003: 13 publications 2004: 24 publications 2005: 16 publications 2006: 17 publications 2007: 23 publications 2008: 47 publications 2009: 45 publications 2010: 70 publications 2011: 52 publications 2012: 53 publications 2013: 79 publications 2014: 57 publications 2015: 72 publications 2016: 53 publications 2017: 62 publications 2018: 46 publications 2019: 86 publications 2020: 81 publications 2021: 88 publications 2022: 94 publications 2023: 147 publications 2024: 165 publications 2025: 145 publications 2026: 2 publications
1986 2026

1,693 publications in total across all disciplines

View publications per year as a table
Alois Knoll: publications per year, 1986 to 2026
Year Publications
1986 1
1987 0
1988 2
1989 3
1990 3
1991 4
1992 8
1993 9
1994 5
1995 7
1996 6
1997 13
1998 23
1999 22
2000 17
2001 25
2002 8
2003 13
2004 24
2005 16
2006 17
2007 23
2008 47
2009 45
2010 70
2011 52
2012 53
2013 79
2014 57
2015 72
2016 53
2017 62
2018 46
2019 86
2020 81
2021 88
2022 94
2023 147
2024 165
2025 145
2026 2
Total 1,693
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Alois Knoll 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 Alois Knoll 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, 954–973 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: 973 publications — 98th percentile

98% 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
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 10 973
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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Alois Knoll 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 Alois Knoll 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, 65 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: 65 D-Index — 83rd percentile

83% 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
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 65
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
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Overview

Alois Knoll is affiliated with the Technical University of Munich in Germany. Their primary research spans the fields of Engineering and Computer Science, with significant contributions focusing on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, and Electrical and Electronic Engineering.

The scientist's work encompasses several main topics, including Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robot Manipulation and Learning, Robotics and Sensor-Based Localization, Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, and Advanced Memory and Neural Computing.

Some of the recent papers connected with Alois Knoll's research include the following:

  • A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal (2020), published in IEEE Transactions on Systems Man and Cybernetics Systems
  • Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception (2020), published in IEEE Signal Processing Magazine
  • What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction (2020), published in mediaTUM - the media and publications repository of the Technical University Munich
  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results (2020), published in Neural Networks
  • A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks (2021), published in Neural Processing Letters

Frequent co-authors in Alois Knoll's collaborations include:

  • Zhenshan Bing
  • Guang Chen
  • Kai Huang
  • Walter Zimmer
  • Zhijun Li

Their contributions have appeared across various publication venues, with a concentration in:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Frontiers in Neurorobotics
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Intelligent Transportation Systems

Best Publications

  • Gradient boosting machines, a tutorial.

    Alexey Natekin;Alois C. Knoll

  • The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain

    Katrin Amunts;Katrin Amunts;Christoph Ebell;Jeff Muller;Martin Telefont

  • A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

    Guang Chen;Haitao Wang;Kai Chen;Zhijun Li

  • A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

    H. Mayer;F. Gomez;D. Wierstra;I. Nagy

  • What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

    Christoph Scholler;Vincent Aravantinos;Florian Lay;Alois Knoll

  • Human-robot interaction in handing-over tasks

    M. Huber;M. Rickert;A. Knoll;T. Brandt

  • Introducing the Human Brain Project

    Henry Markram;Karlheinz Meier;Thomas Lippert;Sten Grillner

  • A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

    Daniel Auge;Julian Hille;Julian Hille;Etienne Mueller;Alois C. Knoll

  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results.

    Hang Su;Yingbai Hu;Hamid Reza Karimi;Alois C. Knoll

  • PM-Huber: PatchMatch with Huber Regularization for Stereo Matching

    Philipp Heise;Sebastian Klose;Brian Jensen;Alois Knoll

  • OPC UA versus ROS, DDS, and MQTT: Performance Evaluation of Industry 4.0 Protocols

    Stefan Profanter;Ayhun Tekat;Kirill Dorofeev;Markus Rickert

  • A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks.

    Zhenshan Bing;Claus Meschede;Florian Röhrbein;Kai Huang

  • Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination

    Gang Chen;Kai Huang;Alois Knoll

  • Artificial Cognition in Production Systems

    A Bannat;T Bautze;M Beetz;J Blume

  • The Endo[PA]R system for minimally invasive robotic surgery

    H. Mayer;I. Nagy;A. Knoll;E.U. Schirmbeck

  • A Partition-Based Match Making Algorithm for Dynamic Ridesharing

    Dominik Pelzer;Jiajian Xiao;Daniel Zehe;Michael H. Lees

  • Joint-action for humans and industrial robots for assembly tasks

    C. Lenz;S. Nair;M. Rickert;A. Knoll

  • Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.

    Egidio Falotico;Lorenzo Vannucci;Alessandro Ambrosano;Ugo Albanese

  • The introduction of a new robot for assistance in ophthalmic surgery

    M. A. Nasseri;M. Eder;S. Nair;E. C. Dean

  • RACE: A Centralized Platform Computer Based Architecture for Automotive Applications

    Stephan Sommer;Alexander Camek;Klaus Becker;Christian Buckl

Frequent Co-Authors

Jianwei Zhang
Jianwei Zhang Universität Hamburg
Wentong Cai
Wentong Cai Nanyang Technological University
Stefan Glasauer
Stefan Glasauer Brandenburg University of Technology
Alfons Kemper
Alfons Kemper Technical University of Munich
Nassir Navab
Nassir Navab Technical University of Munich
Zhijun Li
Zhijun Li Tongji University
Thomas Brandt
Thomas Brandt Ludwig-Maximilians-Universität München
Elena De Momi
Elena De Momi Polytechnic University of Milan
Giancarlo Ferrigno
Giancarlo Ferrigno Polytechnic University of Milan
Cecilia Laschi
Cecilia Laschi National University of Singapore

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