Philip Mai

72 total papers · 1.4k total citations
34 papers, 480 citations indexed

About

Philip Mai is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Philip Mai has authored 34 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 16 papers in Communication and 12 papers in Artificial Intelligence. Recurrent topics in Philip Mai's work include Social Media and Politics (16 papers), Hate Speech and Cyberbullying Detection (11 papers) and Misinformation and Its Impacts (10 papers). Philip Mai is often cited by papers focused on Social Media and Politics (16 papers), Hate Speech and Cyberbullying Detection (11 papers) and Misinformation and Its Impacts (10 papers). Philip Mai collaborates with scholars based in Canada, United Kingdom and United States. Philip Mai's co-authors include Anatoliy Gruzd, Jenna Jacobson, Elizabeth Dubois, Evelyn Ruppert, Dhiraj Murthy, Felipe Bonow Soares, Jeff Hemsley, Barry Wellman, Robyn Traynor and John‐Michael Gamble and has published in prestigious journals such as PLoS ONE, New Media & Society and American Behavioral Scientist.

In The Last Decade

Philip Mai

29 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Philip Mai 344 169 101 57 49 34 480
Anfan Chen 360 1.0× 212 1.3× 109 1.1× 44 0.8× 81 1.7× 32 538
Orestis Papakyriakopoulos 302 0.9× 194 1.1× 195 1.9× 31 0.5× 42 0.9× 29 482
Axel Westerwick 376 1.1× 261 1.5× 70 0.7× 52 0.9× 19 0.4× 19 525
Nina Cesare 201 0.6× 71 0.4× 63 0.6× 34 0.6× 59 1.2× 27 478
Jeong-woo Jang 324 0.9× 261 1.5× 56 0.6× 46 0.8× 19 0.4× 25 516
Craig Robertson 306 0.9× 236 1.4× 116 1.1× 26 0.5× 11 0.2× 20 465
Darren L. Linvill 299 0.9× 234 1.4× 66 0.7× 38 0.7× 20 0.4× 39 544
Yilang Peng 248 0.7× 160 0.9× 61 0.6× 18 0.3× 34 0.7× 26 449
Moreno Mancosu 352 1.0× 139 0.8× 90 0.9× 17 0.3× 33 0.7× 42 446
Kaitlin Light Costello 192 0.6× 120 0.7× 39 0.4× 47 0.8× 111 2.3× 28 485

Countries citing papers authored by Philip Mai

Since Specialization
Citations

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

Fields of papers citing papers by Philip Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Mai. 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 Philip Mai. The network helps show where Philip Mai may publish in the future.

Co-authorship network of co-authors of Philip Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Mai. A scholar is included among the top collaborators of Philip Mai 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 Philip Mai. Philip Mai 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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