D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 53 Citations 25,201 199 World Ranking 1355 National Ranking 672

Research.com Recognitions

Awards & Achievements

Fellow of The National Academy of Public Administration

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Social science
  • Statistics

David Lazer mainly focuses on Politics, Social media, Internet privacy, Scale and Fake news. His Politics study incorporates themes from Public policy, Preference, Public relations and Interpersonal ties. As part of the same scientific family, he usually focuses on Public relations, concentrating on Government and intersecting with Skepticism, Paternalism, Democracy, Political economy and Partisan politics.

His study in Social media is interdisciplinary in nature, drawing from both Advertising, Media event, Mass media, Social system and Extreme right. David Lazer has included themes like Reading and Big data in his Internet privacy study. David Lazer combines subjects such as Mainstream, Presidential election and Political spectrum with his study of Fake news.

His most cited work include:

  • Computational Social Science (2261 citations)
  • Inferring friendship network structure by using mobile phone data (1586 citations)
  • Structure and tie strengths in mobile communication networks (1505 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Politics, Public relations, Social media, Social psychology and Data science. The Politics study combines topics in areas such as Field and Interpersonal ties. His work deals with themes such as Interpersonal communication, Representation, Corporate governance, Government and Knowledge sharing, which intersect with Public relations.

David Lazer works mostly in the field of Interpersonal communication, limiting it down to concerns involving Public sector and, occasionally, Public administration. His Social media study which covers Media studies that intersects with Mainstream. His work on Computational sociology as part of general Data science research is frequently linked to Structure, bridging the gap between disciplines.

He most often published in these fields:

  • Politics (25.62%)
  • Public relations (24.91%)
  • Social media (12.10%)

What were the highlights of his more recent work (between 2018-2021)?

  • State (7.83%)
  • Politics (25.62%)
  • Social media (12.10%)

In recent papers he was focusing on the following fields of study:

David Lazer mainly focuses on State, Politics, Social media, Public administration and Media studies. His Politics research includes elements of Panel data, nobody and Open science. His Social media research integrates issues from Interrogation, Misinformation, Autocomplete, The Internet and Computational sociology.

David Lazer has researched The Internet in several fields, including Dystopia, Resource, Health care and Internet privacy. His studies in Computational sociology integrate themes in fields like Diffusion, Journalism, News media, Information flow and Big data. His study in the field of Fake news is also linked to topics like Period and Variation.

Between 2018 and 2021, his most popular works were:

  • Fake news on Twitter during the 2016 U.S. presidential election. (277 citations)
  • Fake news on Twitter during the 2016 U.S. presidential election. (277 citations)
  • Public Health and Online Misinformation: Challenges and Recommendations (64 citations)

In his most recent research, the most cited papers focused on:

  • Law
  • Social science
  • Statistics

David Lazer mainly investigates Social media, Media studies, Politics, Computational sociology and Misinformation. The various areas that David Lazer examines in his Social media study include Transparency, The Internet, Information retrieval and Audit. His research in Politics intersects with topics in Government, Advertising, Fake news and Power.

His Fake news research is multidisciplinary, relying on both Mainstream, Presidential election, Political spectrum and Extreme right. David Lazer interconnects Journalism, Management science, News media and MEDLINE in the investigation of issues within Computational sociology. His Misinformation research is multidisciplinary, incorporating elements of Resource, Health care, Internet privacy and Action.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Computational Social Science

David M. Lazer;Alex Pentland;Lada Adamic;Sinan Aral;Sinan Aral.
Science (2009)

4121 Citations

The science of fake news

David M. J. Lazer;Matthew A. Baum;Yochai Benkler;Adam J. Berinsky.
Science (2018)

2689 Citations

Inferring friendship network structure by using mobile phone data

Nathan Eagle;Alex Sandy Pentland;David Lazer.
Proceedings of the National Academy of Sciences of the United States of America (2009)

2518 Citations

The Parable of Google Flu: Traps in Big Data Analysis

David Lazer;David Lazer;Ryan Kennedy;Ryan Kennedy;Ryan Kennedy;Gary King;Alessandro Vespignani;Alessandro Vespignani.
Science (2014)

2381 Citations

Structure and tie strengths in mobile communication networks

J.-P. Onnela;J. Saramäki;J. Hyvönen;G. Szabó.
Proceedings of the National Academy of Sciences of the United States of America (2007)

2247 Citations

Management-Based Regulation: Prescribing Private Management to Achieve Public Goals

Cary Coglianese;David Lazer.
Law & Society Review (2003)

771 Citations

The Network Structure of Exploration and Exploitation

David Lazer;Allan Friedman.
Administrative Science Quarterly (2007)

707 Citations

Network theory and small groups

Nancy Katz;David Lazer;Holly Arrow;Noshir Contractor.
Small Group Research (2004)

599 Citations

Fake news on Twitter during the 2016 U.S. presidential election.

Nir Grinberg;Nir Grinberg;Kenneth Joseph;Lisa Friedland;Briony Swire-Thompson;Briony Swire-Thompson.
Science (2019)

512 Citations

Who Wants To Deliberate—And Why?

Michael A. Neblo;Kevin M. Esterling;Ryan P. Kennedy;David M. J. Lazer.
American Political Science Review (2010)

446 Citations

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