World's Best Scientists 2026 revealed!
Jukka-Pekka Onnela

Jukka-Pekka Onnela

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
21111
World Ranking
3989
National Ranking
1150

Jukka-Pekka Onnela 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 Jukka-Pekka Onnela sits on this spectrum.

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 publications 804+

This scientist: 200 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Jukka-Pekka Onnela 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 Jukka-Pekka Onnela sits on this spectrum.

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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Jukka-Pekka Onnela is affiliated with Harvard University in the United States. Their research primarily focuses on the intersection of medicine and digital technologies, with a strong emphasis on mental health and mobile health applications. Onnela's work contributes to several subfields including Experimental and Cognitive Psychology, Applied Psychology, Artificial Intelligence, General Health Professions, and Epidemiology.

Among their frequent topics of study are:

  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Complex Network Analysis Techniques
  • Mobile Health and mHealth Applications
  • COVID-19 epidemiological studies
  • Amyotrophic Lateral Sclerosis Research
  • Context-Aware Activity Recognition Systems

Onnela has coauthored many papers with the following frequent collaborators:

  • Russ Hauser
  • Brent A. Coull
  • Marcin Strączkiewicz
  • Shruthi Mahalingaiah
  • Justin T. Baker

Their publications often appear in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)
  • npj Digital Medicine

Recent papers by Onnela include:

  • "Understanding the Demographics of Twitter Users" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Opportunities and challenges in the collection and analysis of digital phenotyping data" (2020), Neuropsychopharmacology
  • "A systematic review of smartphone-based human activity recognition methods for health research" (2021), npj Digital Medicine
  • "Assessment of Racial Disparities in Primary Care Physician Specialty Referrals" (2021), JAMA Network Open
  • "Can mHealth interventions improve quality of life of cancer patients? A systematic review and meta-analysis" (2020), Critical Reviews in Oncology/Hematology

Their research addresses key challenges in analyzing digital phenotyping data and developing context-aware systems in health research. This work intersects fields of psychology, epidemiology, and artificial intelligence, focusing on improving health outcomes through innovative technological applications.

Best Publications

  • Structure and tie strengths in mobile communication networks

    J.-P. Onnela;J. Saramäki;J. Hyvönen;G. Szabó

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Peter J. Mucha;Thomas Richardson;Thomas Richardson;Kevin Macon;Mason A. Porter

  • Communities in networks

    Mason A. Porter;Jukka Pekka Onnela;Jukka Pekka Onnela;Jukka Pekka Onnela;Peter J. Mucha

  • Intensity and coherence of motifs in weighted complex networks

    Jukka Pekka Onnela;Jari Saramäki;János Kertész;János Kertész;Kimmo Kaski

  • Understanding the Demographics of Twitter Users

    Alan Mislove;Sune Lehmann;Yong-Yeol Ahn;Jukka-Pekka Onnela

  • Dynamics of market correlations: taxonomy and portfolio analysis.

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz;Janos Kertesz

  • Generalizations of the clustering coefficient to weighted complex networks

    Jari Saramäki;Mikko Kivelä;Jukka-Pekka Onnela;Jukka-Pekka Onnela;Kimmo Kaski

  • New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research.

    John Torous;Mathew V Kiang;Jeanette Lorme;Jukka-Pekka Onnela

  • Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

    Jukka-Pekka Onnela;Scott L Rauch

  • Analysis of a large-scale weighted network of one-to-one human communication

    Jukka-Pekka Onnela;Jukka-Pekka Onnela;Jari Saramäki;Jörkki Hyvönen;Gábor Szabó;Gábor Szabó

  • Geographic Constraints on Social Network Groups

    Jukka-Pekka Onnela;Samuel Arbesman;Marta C. González;Albert-László Barabási;Albert-László Barabási;Albert-László Barabási

  • Relapse prediction in schizophrenia through digital phenotyping: a pilot study.

    Ian Barnett;John Torous;Patrick Staples;Luis Sandoval

  • Clustering and information in correlation based financial networks

    Jukka-Pekka Onnela;Kimmo Kaski;Janos Kertész;Janos Kertész

  • Dynamic asset trees and Black Monday

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz;Janos Kertesz

  • Spontaneous emergence of social influence in online systems.

    Jukka-Pekka Onnela;Felix Reed-Tsochas

  • Variation in Patient-Sharing Networks of Physicians Across the United States

    Bruce Evan Landon;Nancy Lynn Keating;Michael Lawrence Barnett;Jukka-Pekka Onnela

  • A Model For Social Networks

    Riitta Toivonen;Jukka-Pekka Onnela;Jari Saramäki;Jörkki Hyvönen

  • Emergence of communities in weighted networks.

    Jussi M Kumpula;Jukka-Pekka Onnela;Jari Saramäki;Kimmo Kaski

  • Opportunities and challenges in the collection and analysis of digital phenotyping data.

    Jukka-Pekka Onnela

  • A comparative study of social network models: Network evolution models and nodal attribute models

    Riitta Toivonen;Lauri Kovanen;Mikko Kivelä;Jukka-Pekka Onnela;Jukka-Pekka Onnela

  • Asset Trees and Asset Graphs in Financial Markets

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz

Frequent Co-Authors

János Kertész
János Kertész Central European University
Kimmo Kaski
Kimmo Kaski Aalto University
John Torous
John Torous Harvard Medical School
Jari Saramäki
Jari Saramäki Aalto University
Nancy L. Keating
Nancy L. Keating Harvard University
Bruce E. Landon
Bruce E. Landon Harvard University
Matcheri S. Keshavan
Matcheri S. Keshavan Beth Israel Deaconess Medical Center
Mason A. Porter
Mason A. Porter University of California, Los Angeles
Nicholas A. Christakis
Nicholas A. Christakis Yale University
Peter J. Mucha
Peter J. Mucha Dartmouth College

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