World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
10006
World Ranking
4809
National Ranking
1684

Daniel E. Rivera 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 Daniel E. Rivera 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: 224 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Daniel E. Rivera 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 Daniel E. Rivera 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Daniel E. Rivera is affiliated with Arizona State University in the United States. Their research spans multiple fields, primarily within Medicine and Psychology, with significant contributions to subfields such as Applied Psychology, Experimental and Cognitive Psychology, Control and Systems Engineering, Physiology, and Public Health, Environmental and Occupational Health.

The scientist's work concentrates on key topics including Behavioral Health and Interventions, Mental Health Research, Physical Activity and Health, Gestational Diabetes Research and Management, Digital Mental Health Interventions, Obesity, Physical Activity, and Diet, as well as Advanced Control Systems Optimization.

They have published extensively in several prominent venues. Frequent publication outlets include IFAC-PapersOnLine, JMIR Research Protocols, the 2022 American Control Conference (ACC), Journal of Animal Science, and Control Engineering Practice.

Their recent papers showcase a range of research interests with a focus on behavioral interventions and physical activity:

  • Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity, 2021, Journal of Behavioral Medicine
  • Goal setting and achievement for walking: A series of N-of-1 digital interventions, 2020, Health Psychology
  • Engineering Person-Specific Behavioral Interventions to Promote Physical Activity, 2020, Exercise and Sport Sciences Reviews
  • Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol, 2022, International Journal of Environmental Research and Public Health
  • Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions, 2023, JMIR Research Protocols

Collaborations form a notable part of their work. Frequent co-authors include Eric B. Hekler, Mohamed El Mistiri, Predrag Klasnja, Danielle Symons Downs, and Sarasij Banerjee.

Best Publications

  • Internal model control: PID controller design

    Daniel E. Rivera;Manfred Morari;Sigurd Skogestad

  • Health behavior models in the age of mobile interventions: are our theories up to the task?

    William T Riley;Daniel E Rivera;Audie A Atienza;Wendy Nilsen

  • Evaluating Digital Health Interventions: Key Questions and Approaches.

    Elizabeth Murray;Eric B. Hekler;Gerhard Andersson;Linda M. Collins

  • Agile science: creating useful products for behavior change in the real world.

    Eric B. Hekler;Predrag Klasnja;William T. Riley;Matthew P. Buman

  • A MODEL PREDICTIVE CONTROL FRAMEWORK FOR ROBUST MANAGEMENT OF MULTI-PRODUCT, MULTI-ECHELON DEMAND NETWORKS

    M. W. Braun;Daniel Rivera;W. M. Carlyle;K. G. Kempf

  • Simulation-based optimization of process control policies for inventory management in supply chains

    Jay D. Schwartz;Wenlin Wang;Daniel E. Rivera

  • Advancing Models and Theories for Digital Behavior Change Interventions

    Eric B. Hekler;Susan Michie;Misha Pavel;Daniel E. Rivera

  • Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction

    Daniel E. Rivera;Michael D. Pew;Linda M. Collins

  • Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.

    Donna Spruijt-Metz;Eric Hekler;Niilo Saranummi;Stephen Intille

  • Model predictive control strategies for supply chain management in semiconductor manufacturing

    Wenlin Wang;Daniel E. Rivera;Karl G. Kempf

  • IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

    Francis J. Doyle;A. Bazanella;S. Devasia;R. Erwin

  • "Plant-Friendly" system identification: a challenge for the process industries

    Daniel E. Rivera;Hyunjin Lee;Martin W. Braun;Hans D. Mittelmann

  • Constrained multisine input signals for plant-friendly identification of chemical process systems

    Daniel E. Rivera;Hyunjin Lee;Hans D. Mittelmann;Martin W. Braun

  • Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

    Eric B Hekler;Daniel E Rivera;Cesar A Martin;Cesar A Martin;Sayali S Phatak

  • A hierarchical approach to production control of reentrant semiconductor manufacturing lines

    F.D. Vargas-Villamil;D.E. Rivera;K.G. Kempf

  • A process control approach to tactical inventory management in production-inventory systems

    Jay D. Schwartz;Daniel E. Rivera

  • A 'Model-on-Demand' identification methodology for non-linear process systems

    Martin W. Braun;Daniel E. Rivera;Anders Stenman

  • A dynamical model for describing behavioural interventions for weight loss and body composition change

    J.-Emeterio Navarro-Barrientos;Daniel E. Rivera;Linda M. Collins

  • Control-relevant prefiltering: a systematic design approach and case study

    D.E. Rivera;I.F. Pollard;C.E. Garcia

  • Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management

    Wenlin Wang;D.E. Rivera

  • A dynamical systems model of Social Cognitive Theory

    Cesar A. Martin;Daniel E. Rivera;William T. Riley;Eric B. Hekler

  • Control-relevant model reduction problems for SISO H2, H∞, and μ-controller synthesis

    Daniel E. Rivera;Manfred Morari

Frequent Co-Authors

Eric B. Hekler
Eric B. Hekler University of California, San Diego
Linda M. Collins
Linda M. Collins New York University
Sebastián Dormido
Sebastián Dormido National University of Distance Education
José Luis Guzmán
José Luis Guzmán University of Almería
Matthew P. Buman
Matthew P. Buman Arizona State University
Manfred Morari
Manfred Morari University of Pennsylvania
Manuel Berenguel
Manuel Berenguel University of Almería
Marc A. Adams
Marc A. Adams Arizona State University
Donna Spruijt-Metz
Donna Spruijt-Metz University of Southern California
Misha Pavel
Misha Pavel Northeastern University

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