David Lazer

26.5k citations
187 papers · 13.7k · 10 hit papers · h-index 46

Impact in

Papers in

David Lazer

172 papers receiving 12.9k citations

David Lazer's Hit Papers

Prevalence and Correlates of Long COVID Symptoms Among US Adults 2022 · 242 citations
2420+6+12Years since publication50010001.5k2.0k

Peers

David Lazer
Comparison fields: 5 of 203
  • Communication 3.2k
  • Statistical and Nonlinear Physics 2.0k
  • Sociology and Political Science 6.6k
  • Transportation 860
  • Health 570
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Citations per year

Countries citing papers authored by David Lazer

Since Specialization
Citations

This map shows the geographic impact of David Lazer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Lazer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lazer more than expected).

Fields of papers citing papers by David Lazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Lazer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Lazer. The network helps show where David Lazer may publish in the future.

Co-authors

The 25 scholars most cited alongside David Lazer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Lazer Line = papers co-authored together David Lazer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The science of fake news
Hit paper breakdown →
20182391
2
The Parable of Google Flu: Traps in Big Data Analysis
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20141553
3
Inferring friendship network structure by using mobile phone data
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20091253
4
Fake news on Twitter during the 2016 U.S. presidential election
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20191082
5
Public Health and Online Misinformation: Challenges and Recommendations
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2019619
6
The Network Structure of Exploration and Exploitation
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2007447
7
Exploration versus exploitation in space, mind, and society
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2014350
8 2010285
9
Measuring personalization of web search
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2013256
10 2003249
11
Computational social science: Obstacles and opportunities
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2020243
12 2004242
13
Prevalence and Correlates of Long COVID Symptoms Among US Adults
Hit paper breakdown →
2022242
14 2014179
15 2020170
16 2010154
17 2017153
18 2020153
19 2010148
20 2004143

About David Lazer

David Lazer is a scholar working on Sociology and Political Science, Communication, Statistical and Nonlinear Physics, Political Science and International Relations and Artificial Intelligence, having authored 187 papers that have together received 13.7k indexed citations. Recurring topics across this work include Social Media and Politics (50 papers), Opinion Dynamics and Social Influence (36 papers), Misinformation and Its Impacts (32 papers), Complex Network Analysis Techniques (24 papers), Electoral Systems and Political Participation (24 papers), Media Influence and Politics (22 papers), Social Capital and Networks (16 papers) and E-Government and Public Services (8 papers). The work is most often cited by research in Communication (3.2k citations), Statistical and Nonlinear Physics (2.0k citations), Sociology and Political Science (6.6k citations), Transportation (860 citations) and Health (570 citations). David Lazer has collaborated with scholars based in United States, Mexico and Netherlands. Frequent co-authors include Briony Swire‐Thompson, Alex Pentland, Ryan Kennedy, Nathan Eagle, Alessandro Vespignani, Gary King, Kenneth Joseph, Lisa Friedland, Kevin Esterling and Nir Grinberg. Their work appears in journals such as JAMA Network Open, Science, Proceedings of the National Academy of Sciences, Political Communication and Nature.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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