David C. Mohr

Active 1991–2026

Also published as
David C Mohr
242
Papers
38,997
Citations
105
h-index
222
i10-index

Citations

Citations per year for David C. Mohr1902: 2 citations1952: 1 citations1975: 1 citations1976: 1 citations1988: 1 citations1993: 3 citations1994: 4 citations1995: 2 citations1996: 3 citations1997: 8 citations1998: 5 citations1999: 17 citations2000: 23 citations2001: 40 citations2002: 35 citations2003: 63 citations2004: 58 citations2005: 109 citations2006: 123 citations2007: 125 citations2008: 142 citations2009: 151 citations2010: 172 citations2011: 147 citations2012: 168 citations2013: 213 citations2014: 264 citations2015: 359 citations2016: 369 citations2017: 461 citations2018: 527 citations2019: 1,162 citations2020: 1,410 citations2021: 1,436 citations2022: 1,188 citations2023: 987 citations2024: 1,401 citations2025: 746 citations2026: 148 citations2027: 1 citations1903–1951: no citations, so these years are not shown1953–1974: no citations, so these years are not shown1977–1987: no citations, so these years are not shown1989–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,126 citing papers, 29.4% of this breakdownUnited Kingdom: 1,313 citing papers, 9.4% of this breakdownGermany: 800 citing papers, 5.7% of this breakdownAustralia: 767 citing papers, 5.5% of this breakdownCanada: 762 citing papers, 5.4% of this breakdownChina: 755 citing papers, 5.4% of this breakdownNetherlands: 614 citing papers, 4.4% of this breakdownItaly: 382 citing papers, 2.7% of this breakdownSpain: 323 citing papers, 2.3% of this breakdownSwitzerland: 277 citing papers, 2% of this breakdownSweden: 251 citing papers, 1.8% of this breakdownFrance: 202 citing papers, 1.4% of this breakdown
0%29.4%Other 24.6%

Fields

  • Medicine34.2%
  • Psychology30.4%
  • Health Professions11.5%
  • Neuroscience10.8%
  • Computer Science4.2%
  • Social Sciences2.8%
  • Other6.1%

Topics

  • Digital Mental Health Interventions9.5%
  • Mobile Health and mHealth Applications5.6%
  • Mental Health Research Topics3.3%
  • Stress Responses and Cortisol2.5%
  • Multiple Sclerosis Research Studies2.3%
  • Cancer survivorship and care2.2%
  • Other74.6%

Coauthors

All papers

Open in search
  1. Major depressive disorder

    Authors: , , , , , , , - Nature Reviews Disease Primers 2016 cited by 2,155

  2. Internet-Based Cognitive Behavioral Therapy for Depression

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Gerhard Andersson, Heather D. Hadjistavropoulos, Heleen Christensen, Iony D. Ezawa, Isabella Choi, Isabelle M. Rosso, Jan Philipp Klein, Jason Shumake, Javier García‐Campayo, Jeannette Milgrom, Jessica Smith, Jesús Montero‐Marín, Jill M. Newby, Juana Bretón‐López, Justine Schneider, Kristofer Vernmark, Lara Bücker, Lisa Sheeber, Lisanne Warmerdam, Louise M. Farrer, Manuel Heinrich, Marcus J. H. Huibers, Marie Kivi, Martin Kraepelien, Nicholas R. Forand, Nicky Pugh, Nils Lindefors, Ove Lintvedt, Pavle Zagorscak, Per Carlbring, Rachel Phillips, Robert Johansson, Ronald C. Kessler, Sally Brabyn, Sarah Perini, Scott L. Rauch, Simon Gilbody, Steffen Moritz, Thomas Berger, Victor J. Pop, Viktor Kaldo, Viola Spek, Yvonne Forsell - JAMA Psychiatry 2021 cited by 878

  3. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning

    Authors: , , - Annual Review of Clinical Psychology 2017 cited by 822

  4. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

    Authors: , , , , , , - Journal of Medical Internet Research 2015 cited by 825

  5. Comparison of Pharmaceutical, Psychological, and Exercise Treatments for Cancer-Related Fatigue

    Authors: , , , , , , , , , , , , , - JAMA Oncology 2017 cited by 899

  6. Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians

    Authors: , , , , , , , - on Human-Computer Interaction, Proc. ACM Hum. Comput. Interact. 2022 cited by 69

  7. Using a Single Item to Measure Burnout in Primary Care Staff: A Psychometric Evaluation

    Authors: , , , , , , - Journal of General Internal Medicine 2014 cited by 598

  8. Supportive Accountability: A Model for Providing Human Support to Enhance Adherence to eHealth Interventions

    Authors: , , - Journal of Medical Internet Research 2011 cited by 1,191

  9. Evidence-based practice and patient-centered care: Doing both well

    Authors: , , , , , , - Health Care Management Review 2019 cited by 229

  10. Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment

    Authors: , , , , - Journal of Medical Internet Research 2017 cited by 447

  11. Implementation strategies for digital mental health interventions in health care settings.

    Authors: , , , , , , , , - American Psychologist 2020 cited by 255

  12. Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data

    Authors: , , , , , , , - Frontiers in Psychiatry 2021 cited by 261

  13. Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health

    Authors: , , , , - General Hospital Psychiatry 2013 cited by 750

  14. Three Problems With Current Digital Mental Health Research . . . and Three Things We Can Do About Them

    Authors: , , , - Psychiatric Services 2017 cited by 393

  15. Mobile Health Technology Evaluation

    Authors: , , , , , , , , , , , , , , , , , , - American Journal of Preventive Medicine 2013 cited by 943

  16. The need to approximate the use-case in clinical machine learning

    Authors: , , , , - GigaScience 2017 cited by 286

  17. Depression and cortisol responses to psychological stress: A meta-analysis

    Authors: , , , - Psychoneuroendocrinology 2005 cited by 1,189

  18. Designing for Emotional Well-being: Integrating Persuasion and Customization into Mental Health Technologies

    Authors: , , , , - CHI Conference on Human Factors in Computing Systems 2021 cited by 74

  19. Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being

    Authors: , , , , - npj Digital Medicine, npj Digit. Medicine 2023 cited by 451

  20. The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions

    Authors: , , , , - Journal of Medical Internet Research 2014 cited by 552

  21. Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia

    Authors: , , , , , - Schizophrenia Bulletin 2014 cited by 529

  22. The relationship between mobile phone location sensor data and depressive symptom severity

    Authors: , , , , - PeerJ 2016 cited by 344

  23. Harnessing Context Sensing to Develop a Mobile Intervention for Depression

    Authors: , , , , , , - Journal of Medical Internet Research 2011 cited by 678

  24. "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

    Authors: , , , , , , - CHI Conference on Human Factors in Computing Systems 2020 cited by 65