World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
17689
World Ranking
6658
National Ranking
2941

Overview

Johan Bollen is affiliated with Indiana University in the United States. Their research spans several fields primarily focused on psychology and social sciences, with specific subfields including sociology and political science, social psychology, experimental and cognitive psychology, artificial intelligence, and statistical and nonlinear physics.

The scientist's main topics of work cover a range that intersects mental health and information dynamics. These topics include:

  • Misinformation and Its Impacts
  • Mental Health via Writing
  • Mental Health Research Topics
  • Sentiment Analysis and Opinion Mining
  • Complex Network Analysis Techniques
  • Digital Mental Health Interventions
  • Opinion Dynamics and Social Influence

Bollen has contributed notably in various publication venues, frequently publishing in:

  • Proceedings of the National Academy of Sciences
  • arXiv (Cornell University)
  • PLoS ONE
  • Journal of Medical Internet Research
  • Scientific Reports

Collaborations are a significant part of Bollen's research activity. Frequent co-authors include:

  • Marijn ten Thij
  • Lauren A. Rutter
  • Lorenzo Lorenzo-Luaces
  • Danny Valdez
  • Krishna C. Bathina

Among Bollen's recent papers are:

  • Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Historical language records reveal a surge of cognitive distortions in recent decades, 2021, Proceedings of the National Academy of Sciences

In addition, Bollen has contributed to research linked with:

  • Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data, 2020, Journal of Medical Internet Research
  • Individuals with depression express more distorted thinking on social media, 2021, Nature Human Behaviour
  • Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning, 2023, Journal of Medical Internet Research

Best Publications

  • Twitter mood predicts the stock market.

    Johan Bollen;Huina Mao;Xiaojun Zeng

  • Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena

    Johan Bollen;Huina Mao;Alberto Pepe

  • Co-authorship networks in the digital library research community

    Xiaoming Liu;Johan Bollen;Michael L. Nelson;Herbert Van de Sompel

  • A principal component analysis of 39 scientific impact measures.

    Johan Bollen;Herbert Van de Sompel;Aric A. Hagberg;Ryan Chute

  • Computational Fact Checking from Knowledge Networks

    Giovanni Luca Ciampaglia;Prashant Shiralkar;Luis Mateus Rocha;Luis Mateus Rocha;Johan Bollen

  • More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior

    Joseph DiGrazia;Karissa McKelvey;Johan Bollen;Fabio Rojas

  • How the scientific community reacts to newly submitted preprints: article downloads, Twitter mentions, and citations.

    Xin Shuai;Alberto Pepe;Johan Bollen

  • Happiness is assortative in online social networks

    Johan Bollen;Bruno Gonçalves;Guangchen Ruan;Huina Mao

  • Toward alternative metrics of journal impact: a comparison of download and citation data

    Johan Bollen;Herbert Van de Sompel;Joan A. Smith;Rick Luce

  • The evolution of complexity

    Francis Heylighen;Johan Bollen;Alexander Riegler

  • Twitter Mood as a Stock Market Predictor

    J. Bollen;Huina Mao

  • Clickstream Data Yields High-Resolution Maps of Science

    Johan Bollen;Herbert Van de Sompel;Aric Hagberg;Luís M. A. Bettencourt;Luís M. A. Bettencourt

  • Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

    Danny Valdez;Marijn Ten Thij;Krishna Bathina;Lauren Alexandra Rutter

  • Usage bibliometrics

    Michael J. Kurtz;Johan Bollen

  • Usage impact factor: The effects of sample characteristics on usage-based impact metrics

    Johan Bollen;Herbert Van de Sompel

  • Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena

    Johan Bollen;Alberto Pepe;Huina Mao

  • The World-Wide Web as a Super-Brain: from metaphor to model

    Francis Heylighen;Johan Bollen;Leo Apostel

  • Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data

    Huina Mao;Scott Counts;Johan Bollen

  • Evaluation of Digital Library Impact and User Communities by Analysis of Usage Patterns

    Johan Bollen;Richard Luce

  • An algorithm to determine peer-reviewers

    Marko A. Rodriguez;Johan Bollen

  • The evolution of complexity : the violet book of“Einstein meets Magritte"/ edited by Francis Heylighen, Johan Bollen and Alexander Riegler

    Francis Heylighen;Johan Bollen;Alex Riegler

Frequent Co-Authors

Herbert Van de Sompel
Herbert Van de Sompel Ghent University
Carlos Gershenson
Carlos Gershenson Binghamton University
Ying Ding
Ying Ding The University of Texas at Austin
David J. Crandall
David J. Crandall Indiana University
Scott Counts
Scott Counts Microsoft (United States)
Katy Börner
Katy Börner Indiana University
Barry Boehm
Barry Boehm University of Southern California
Filippo Radicchi
Filippo Radicchi Indiana University
Luís M. A. Bettencourt
Luís M. A. Bettencourt University of Chicago

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