David C. DeAndrea

52 total papers · 2.4k total citations
45 papers, 1.6k citations indexed

About

David C. DeAndrea is a scholar working on Sociology and Political Science, Communication and Social Psychology. According to data from OpenAlex, David C. DeAndrea has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 16 papers in Communication and 11 papers in Social Psychology. Recurrent topics in David C. DeAndrea's work include Social Media and Politics (10 papers), Media Influence and Health (8 papers) and Impact of Technology on Adolescents (8 papers). David C. DeAndrea is often cited by papers focused on Social Media and Politics (10 papers), Media Influence and Health (8 papers) and Impact of Technology on Adolescents (8 papers). David C. DeAndrea collaborates with scholars based in United States, Ireland and Japan. David C. DeAndrea's co-authors include Joseph B. Walther, Megan A. Vendemia, James C. Anthony, Jin-Suk Kim, Robert LaRose, Andrew C. Fiore, Charles Steinfield, Nicole B. Ellison, R. Lance Holbert and Timothy R. Levine and has published in prestigious journals such as Computers in Human Behavior, Psychological Medicine and Personality and Individual Differences.

In The Last Decade

David C. DeAndrea

43 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David C. DeAndrea 967 482 282 272 192 45 1.6k
Stephanie Tom Tong 1.2k 1.3× 625 1.3× 331 1.2× 343 1.3× 156 0.8× 45 1.9k
Michael A. Stefanone 1.3k 1.3× 742 1.5× 196 0.7× 212 0.8× 190 1.0× 55 1.9k
Bradley M. Okdie 947 1.0× 267 0.6× 305 1.1× 379 1.4× 222 1.2× 40 1.5k
Pavica Sheldon 1.4k 1.5× 515 1.1× 276 1.0× 248 0.9× 186 1.0× 39 1.9k
Ven‐hwei Lo 1.2k 1.2× 684 1.4× 368 1.3× 177 0.7× 261 1.4× 59 1.7k
Nicole L. Muscanell 939 1.0× 346 0.7× 197 0.7× 203 0.7× 114 0.6× 22 1.4k
Benjamin K. Johnson 1.2k 1.2× 658 1.4× 167 0.6× 230 0.8× 516 2.7× 64 1.8k
Frank M. Schneider 934 1.0× 344 0.7× 259 0.9× 424 1.6× 493 2.6× 53 1.5k
Martin Tanis 1.0k 1.0× 420 0.9× 207 0.7× 429 1.6× 141 0.7× 32 1.7k
Artemio Ramirez 1.1k 1.2× 562 1.2× 212 0.8× 729 2.7× 163 0.8× 37 1.9k

Countries citing papers authored by David C. DeAndrea

Since Specialization
Citations

This map shows the geographic impact of David C. DeAndrea'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 C. DeAndrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. DeAndrea more than expected).

Fields of papers citing papers by David C. DeAndrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. DeAndrea. 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 C. DeAndrea. The network helps show where David C. DeAndrea may publish in the future.

Co-authorship network of co-authors of David C. DeAndrea

This figure shows the co-authorship network connecting the top 25 collaborators of David C. DeAndrea. A scholar is included among the top collaborators of David C. DeAndrea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David C. DeAndrea. David C. DeAndrea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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