Andrew T. Fiore

34 total papers · 1.2k total citations
21 papers, 803 citations indexed

About

Andrew T. Fiore is a scholar working on Sociology and Political Science, Communication and Experimental and Cognitive Psychology. According to data from OpenAlex, Andrew T. Fiore has authored 21 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 8 papers in Communication and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Andrew T. Fiore's work include Evolutionary Psychology and Human Behavior (7 papers), Social Media and Politics (7 papers) and Digital Marketing and Social Media (4 papers). Andrew T. Fiore is often cited by papers focused on Evolutionary Psychology and Human Behavior (7 papers), Social Media and Politics (7 papers) and Digital Marketing and Social Media (4 papers). Andrew T. Fiore collaborates with scholars based in United States, Israel and United Kingdom. Andrew T. Fiore's co-authors include Marc A. Smith, Judith Donath, Gerald A. Mendelsohn, Lindsay Shaw Taylor, Nicole B. Ellison, Rebecca Gray, Cliff Lampe, Coye Cheshire, Marti A. Hearst and Robert E. Kraut and has published in prestigious journals such as Personality and Social Psychology Bulletin, New Media & Society and International Journal of Social Research Methodology.

In The Last Decade

Andrew T. Fiore

21 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Andrew T. Fiore 437 224 202 181 119 21 803
Lindsay T. Graham 739 1.7× 282 1.3× 71 0.4× 144 0.8× 61 0.5× 9 1.0k
Judith Olson 347 0.8× 142 0.6× 95 0.5× 181 1.0× 22 0.2× 14 999
Mufan Luo 487 1.1× 162 0.7× 85 0.4× 162 0.9× 25 0.2× 14 921
Wu Youyou 356 0.8× 72 0.3× 156 0.8× 208 1.1× 76 0.6× 8 900
Patricia Wallace 397 0.9× 203 0.9× 55 0.3× 77 0.4× 21 0.2× 18 962
Yoon Hyung Choi 765 1.8× 352 1.6× 44 0.2× 118 0.7× 43 0.4× 13 1.1k
Dominik J. Leiner 400 0.9× 203 0.9× 73 0.4× 86 0.5× 25 0.2× 22 777
Michael Sunnafrank 520 1.2× 197 0.9× 185 0.9× 144 0.8× 34 0.3× 19 1.0k
Matthias R. Hastall 577 1.3× 371 1.7× 56 0.3× 49 0.3× 45 0.4× 45 1.0k
Hannah Mieczkowski 517 1.2× 145 0.6× 91 0.5× 94 0.5× 20 0.2× 11 813

Countries citing papers authored by Andrew T. Fiore

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Fiore'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 Andrew T. Fiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Fiore more than expected).

Fields of papers citing papers by Andrew T. Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Fiore. 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 Andrew T. Fiore. The network helps show where Andrew T. Fiore may publish in the future.

Co-authorship network of co-authors of Andrew T. Fiore

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Fiore. A scholar is included among the top collaborators of Andrew T. Fiore 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 Andrew T. Fiore. Andrew T. Fiore 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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