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David J. Reinkensmeyer

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 77 670 635 236 216 260 20157

David J. Reinkensmeyer publications per year

The chart shows the history of publications by David J. Reinkensmeyer between 1987 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David J. Reinkensmeyer published across 40 years, from 1987 to 2026, averaging 7.8 papers a year. Output peaked at 19 publications in 2025. 21 of the 311 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1987 to 2026. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2025. 1987: 1 publication 1988: 2 publications 1989: 0 publications 1990: 0 publications 1991: 1 publication 1992: 2 publications 1993: 3 publications 1994: 2 publications 1995: 1 publication 1996: 1 publication 1997: 3 publications 1998: 0 publications 1999: 4 publications 2000: 4 publications 2001: 8 publications 2002: 16 publications 2003: 11 publications 2004: 10 publications 2005: 13 publications 2006: 12 publications 2007: 13 publications 2008: 11 publications 2009: 8 publications 2010: 7 publications 2011: 10 publications 2012: 14 publications 2013: 10 publications 2014: 15 publications 2015: 13 publications 2016: 16 publications 2017: 6 publications 2018: 9 publications 2019: 7 publications 2020: 8 publications 2021: 12 publications 2022: 12 publications 2023: 12 publications 2024: 13 publications 2025: 19 publications 2026: 2 publications
1987 2026

311 publications in total across all disciplines

View publications per year as a table
David J. Reinkensmeyer: publications per year, 1987 to 2026
Year Publications
1987 1
1988 2
1989 0
1990 0
1991 1
1992 2
1993 3
1994 2
1995 1
1996 1
1997 3
1998 0
1999 4
2000 4
2001 8
2002 16
2003 11
2004 10
2005 13
2006 12
2007 13
2008 11
2009 8
2010 7
2011 10
2012 14
2013 10
2014 15
2015 13
2016 16
2017 6
2018 9
2019 7
2020 8
2021 12
2022 12
2023 12
2024 13
2025 19
2026 2
Total 311
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David J. Reinkensmeyer publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where David J. Reinkensmeyer sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 258–267 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 260 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240 260
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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David J. Reinkensmeyer D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where David J. Reinkensmeyer sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 77 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 77 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53 77
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

David J. Reinkensmeyer is affiliated with the University of California, Irvine in the United States. The primary focus of their research is within the field of medicine, specifically concentrated on rehabilitation and related interdisciplinary areas. Their work spans several subfields including rehabilitation, biomedical engineering, cognitive neuroscience, neurology, and psychiatry and mental health.

The main topics covered in their research include stroke rehabilitation and recovery, muscle activation and electromyography studies, cerebral palsy and movement disorders, EEG and brain-computer interfaces, telemedicine and telehealth implementation, assistive technology in communication and mobility, and botulinum toxin and related neurological disorders.

Recent papers authored by or involving David J. Reinkensmeyer include the following:

  • Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation, 2020, International Journal of Environmental Research and Public Health
  • Feasibility of Wearable Sensing for In-Home Finger Rehabilitation Early After Stroke, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke, 2021, Sensors
  • Rudimentary Dexterity Corresponds With Reduced Ability to Move in Synergy After Stroke: Evidence of Competition Between Corticoreticulospinal and Corticospinal Tracts?, 2020, Neurorehabilitation and neural repair
  • A day in the life: a qualitative study of clinical decision-making and uptake of neurorehabilitation technology, 2021, Journal of NeuroEngineering and Rehabilitation

Frequent coauthors who have collaborated with David J. Reinkensmeyer include:

  • Vicky Chan
  • Daniel K. Zondervan
  • Andria J. Farrens
  • Steven C. Cramer
  • Veronica A. Swanson

The scientist has published extensively in a number of recurring venues. The most frequent publication venues are Sensors, Journal of NeuroEngineering and Rehabilitation, Neurorehabilitation and neural repair, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and International Journal of Environmental Research and Public Health.

David J. Reinkensmeyer has been recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2019.

Best Publications

  • Review of control strategies for robotic movement training after neurologic injury

    Laura Marchal-Crespo;David J Reinkensmeyer

  • Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation

    E.T. Wolbrecht;V. Chan;D.J. Reinkensmeyer;J.E. Bobrow

  • Robotics, motor learning, and neurologic recovery.

    David J. Reinkensmeyer;Jeremy L. Emken;Steven C. Cramer

  • Persistence of motor adaptation during constrained, multi-joint, arm movements.

    Robert A. Scheidt;David J. Reinkensmeyer;Michael A. Conditt;W. Zev Rymer

  • Retraining the injured spinal cord

    V. Reggie Edgerton;Ray D. de Leon;Susan J. Harkema;John A. Hodgson

  • Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study.

    Leonard E Kahn;Leonard E Kahn;Michele L Zygman;W Zev Rymer;W Zev Rymer;David J Reinkensmeyer;David J Reinkensmeyer

  • A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis.

    Sarah J. Housman;Kelly M. Scott;David J. Reinkensmeyer;David J. Reinkensmeyer

  • Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment

    R.J. Sanchez;Jiayin Liu;S. Rao;P. Shah

  • Robot-enhanced motor learning: accelerating internal model formation during locomotion by transient dynamic amplification

    J.L. Emken;D.J. Reinkensmeyer

  • Robot-assisted movement training for the stroke-impaired arm: Does it matter what the robot does?

    Leonard E. Kahn;Peter S. Lum;Peter S. Lum;W. Zev Rymer;David J. Reinkensmeyer

  • Ocular biomechanics and biotransport.

    C. Ross Ethier;Mark Johnson;Jeff Ruberti

  • Web-based telerehabilitation for the upper extremity after stroke

    D.J. Reinkensmeyer;C.T. Pang;J.A. Nessler;C.C. Painter

  • Motor adaptation as a greedy optimization of error and effort.

    Jeremy L. Emken;Raul Benitez;Athanasios Sideris;James E. Bobrow

  • A Robot and Control Algorithm That Can Synchronously Assist in Naturalistic Motion During Body-Weight-Supported Gait Training Following Neurologic Injury

    D. Aoyagi;W.E. Ichinose;S.J. Harkema;D.J. Reinkensmeyer

  • Robotic Devices for Movement Therapy After Stroke: Current Status and Challenges to Clinical Acceptance

    Peter Lum;David Reinkensmeyer;Richard Mahoney;William Z. Rymer

  • A standardized approach to the Fugl-Meyer assessment and its implications for clinical trials.

    Jill See;Lucy Dodakian;Cathy Chou;Vicky Chan

  • Impedance control and internal model formation when reaching in a randomly varying dynamical environment.

    C. D. Takahashi;R. A. Scheidt;D. J. Reinkensmeyer

  • Human-robot cooperative movement training: Learning a novel sensory motor transformation during walking with robotic assistance-as-needed

    Jeremy L Emken;Raul Benitez;Raul Benitez;David J Reinkensmeyer

  • Recent trends in assistive technology for mobility.

    Rachel E Cowan;Benjamin J Fregly;Michael L Boninger;Leighton Chan

  • Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training

    Nizan Friedman;Vicky Chan;Andrea N Reinkensmeyer;Ariel Beroukhim

  • Haptic Guidance Can Enhance Motor Learning of a Steering Task

    Laura Marchal Crespo;David J. Reinkensmeyer

Frequent Co-Authors

Steven C. Cramer
Steven C. Cramer University of California, Los Angeles
James E. Bobrow
James E. Bobrow University of California, Irvine
Roland R. Roy
Roland R. Roy University of California, Los Angeles
William Z. Rymer
William Z. Rymer Shirley Ryan AbilityLab
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Derek G. Kamper
Derek G. Kamper University of North Carolina at Chapel Hill
Brian D. Schmit
Brian D. Schmit Marquette University
Benjamin J. Fregly
Benjamin J. Fregly Rice University
Nicolas Schweighofer
Nicolas Schweighofer University of Southern California
James W. Hicks
James W. Hicks University of Southern California

External Links

Personal website of David J. Reinkensmeyer

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Robert Riener

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James L. Patton

University of Illinois at Chicago

Publications: 69

Etienne Burdet

Etienne Burdet

Imperial College London

Publications: 66

Silvestro Micera

Silvestro Micera

Sant'Anna School of Advanced Studies

Publications: 63

Roland R. Roy

Roland R. Roy

University of California, Los Angeles

Publications: 60

Sunil K. Agrawal

Sunil K. Agrawal

Columbia University

Publications: 60

Marcia K. O'Malley

Marcia K. O'Malley

Rice University

Publications: 53

Hermano Igo Krebs

Hermano Igo Krebs

MIT

Publications: 51

Steven C. Cramer

Steven C. Cramer

University of California, Los Angeles

Publications: 47

Herman van der Kooij

Herman van der Kooij

University of Twente

Publications: 41

Roger Gassert

Roger Gassert

ETH Zurich

Publications: 41

Daniel M. Wolpert

Daniel M. Wolpert

Columbia University

Publications: 41

Hui Zhong

Hui Zhong

University of California, Los Angeles

Publications: 35

Antonio Frisoli

Antonio Frisoli

Sant'Anna School of Advanced Studies

Publications: 35

Ferdinando A. Mussa-Ivaldi

Ferdinando A. Mussa-Ivaldi

Northwestern University

Publications: 33

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Sheng Quan Xie

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Publications: 32

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