World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
10890
World Ranking
9983
National Ranking
4206

Predrag Klasnja publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Predrag Klasnja sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Predrag Klasnja D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Predrag Klasnja sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

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 131 D-Index or more.

Overview

Predrag Klasnja is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the field of psychology, with a significant focus on applied psychology, general health professions, and experimental and cognitive psychology. Additional areas of study include statistics and probability as well as physiology.

Their work prominently addresses topics related to digital mental health interventions and mobile health (mHealth) applications. Other notable themes in their research include mental health research topics, behavioral health and interventions, advanced causal inference techniques, physical activity and health, and health policy implementation science.

Predrag Klasnja has contributed to publications in several frequent venues, including:

  • arXiv (Cornell University)
  • JMIR Research Protocols
  • npj Digital Medicine
  • JMIR mhealth and uhealth
  • Circulation Cardiovascular Quality and Outcomes

Frequent coauthors in Klasnja's body of work include:

  • Susan A. Murphy
  • Daniel E. Rivera
  • Eric B. Hekler
  • Mohamed El Mistiri
  • Inbal Nahum-Shani

Significant recent papers authored or coauthored by Predrag Klasnja are:

  • Digitizing clinical trials (2020), published in npj Digital Medicine
  • The mechanics of implementation strategies and measures: advancing the study of implementation mechanisms (2022), Implementation Science Communications
  • Personalized HeartSteps (2020), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Designing m-Health interventions for precision mental health support (2020), Translational Psychiatry
  • The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations (2022), Psychological Methods

Best Publications

  • Activity sensing in the wild: a field trial of ubifit garden

    Sunny Consolvo;David W. McDonald;Tammy Toscos;Mike Y. Chen

  • Methodological Review: Healthcare in the pocket: Mapping the space of mobile-phone health interventions

    Predrag Klasnja;Wanda Pratt

  • The Mobile Sensing Platform: An Embedded Activity Recognition System

    T. Choudhury;S. Consolvo;B. Harrison;J. Hightower

  • UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits

    Jon Froehlich;Tawanna Dillahunt;Predrag Klasnja;Jennifer Mankoff

  • From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science

    Cara C Lewis;Predrag Klasnja;Byron J Powell;Aaron R Lyon

  • Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays

    Sunny Consolvo;Predrag Klasnja;David W. McDonald;Daniel Avrahami

  • How to evaluate technologies for health behavior change in HCI research

    Predrag Klasnja;Sunny Consolvo;Wanda Pratt

  • Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research

    Eric B. Hekler;Predrag Klasnja;Jon E. Froehlich;Matthew P. Buman

  • Digitizing clinical trials.

    O. T. Inan;P. Tenaerts;S. A. Prindiville;H. R. Reynolds

  • Goal-setting considerations for persuasive technologies that encourage physical activity

    Sunny Consolvo;Predrag Klasnja;David W. McDonald;James A. Landay

  • Why we need a small data paradigm

    Eric B. Hekler;Predrag Klasnja;Guillaume Chevance;Natalie M. Golaszewski

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

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

  • Exploring Privacy Concerns about Personal Sensing

    Predrag Klasnja;Sunny Consolvo;Tanzeem Choudhury;Richard Beckwith

  • Envisioning systemic effects on persons and society throughout interactive system design

    Lisa P. Nathan;Batya Friedman;Predrag Klasnja;Shaun K. Kane

  • Sample size calculations for micro‐randomized trials in mHealth

    Peng Liao;Predrag Klasnja;Ambuj Tewari;Susan A. Murphy

  • Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

    Peng Liao;Kristjan Greenewald;Predrag Klasnja;Susan Murphy

  • Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned.

    Predrag V. Klasnja;Sunny Consolvo;David W. McDonald;James A. Landay

  • Designing for Healthy Lifestyles: Design Considerations for Mobile Technologies to Encourage Consumer Health and Wellness

    Sunny Consolvo;Predrag Klasnja;David W. McDonald;James A. Landay

  • Value scenarios: a technique for envisioning systemic effects of new technologies

    Lisa P. Nathan;Predrag V. Klasnja;Batya Friedman

  • 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

  • "When I am on Wi-Fi, I am fearless": privacy concerns & practices in eeryday Wi-Fi use

    Predrag Klasnja;Sunny Consolvo;Jaeyeon Jung;Benjamin M. Greenstein

Frequent Co-Authors

Wanda Pratt
Wanda Pratt University of Washington
Eric B. Hekler
Eric B. Hekler University of California, San Diego
Sunny Consolvo
Sunny Consolvo Google (United States)
Inbal Nahum-Shani
Inbal Nahum-Shani University of Michigan–Ann Arbor
Maureen A. Walton
Maureen A. Walton University of Michigan–Ann Arbor
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
James A. Landay
James A. Landay Stanford University
David W. McDonald
David W. McDonald University of Washington
Daniel E. Rivera
Daniel E. Rivera Arizona State University
Matthew P. Buman
Matthew P. Buman Arizona State University

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