Nicholas C. Jacobson

Nicholas C. Jacobson publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Nicholas C. Jacobson sits on this spectrum.

Nicholas C. Jacobson D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Nicholas C. Jacobson sits on this spectrum.

Best Publications

• Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies.

  Nicholas C. Jacobson;Michelle G. Newman

  545
  Citations

• Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research.

  Benjamin W Nelson;Benjamin W Nelson;Carissa A Low;Nicholas Jacobson;Patricia Areán

  209
  Citations

• Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders are Associated with Alterations in Mental Health Search Behavior in the United States.

  Nicholas C. Jacobson;Damien Lekkas;George Price;Michael V. Heinz;Michael V. Heinz

  192
  Citations

• Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence.

  Matthew D Nemesure;Michael V Heinz;Michael V Heinz;Raphael Huang;Nicholas C Jacobson

  191
  Citations

• Avoidance mediates the relationship between anxiety and depression over a decade later.

  Nicholas C. Jacobson;Michelle G. Newman

  159
  Citations

• Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors.

  Nicholas C Jacobson;Berta Summers;Sabine Wilhelm

  145
  Citations

• Digital biomarkers of mood disorders and symptom change

  Nicholas C Jacobson;Hilary Weingarden;Sabine Wilhelm

  125
  Citations

• Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones.

  Nicholas C. Jacobson;Yeon Joo Chung

  122
  Citations

• Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression.

  Nicholas C. Jacobson;Kayla A. Lord;Michelle G. Newman

  111
  Citations

• Cognitive-Behavioral Therapy in the Digital Age: Presidential Address.

  Sabine Wilhelm;Hilary Weingarden;Ilana Ladis;Valerie Braddick

  107
  Citations

• Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage

  Gilly Dosovitsky;Blanca S Pineda;Nicholas C Jacobson;Cyrus Chang

  99
  Citations

• Randomized Trial of a Generative AI Chatbot for Mental Health Treatment

  Unknown

  94
  Citations

• Using Digital Phenotyping to Accurately Detect Depression Severity.

  Nicholas C. Jacobson;Hilary Weingarden;Sabine Wilhelm

  82
  Citations

• Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial

  Unknown

  82
  Citations

• Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward.

  Unknown

  81
  Citations

• Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments

  Unknown

  79
  Citations

• The Effects of Worry in Daily Life: An Ecological Momentary Assessment Study Supporting the Tenets of the Contrast Avoidance Model.

  Michelle G. Newman;Nicholas C. Jacobson;Nicholas C. Jacobson;Nur Hani Zainal;Ki Eun Shin

  69
  Citations

• Ethical dilemmas posed by mobile health and machine learning in psychiatry research.

  Nicholas C Jacobson;Kate H Bentley;Ashley Walton;Shirley B Wang

  68
  Citations

• Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders.

  Michael J. Roche;Nicholas C. Jacobson;Aaron L. Pincus

  60
  Citations

• The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data.

  Nicholas C. Jacobson;Sy Miin Chow;Michelle G. Newman

  56
  Citations