Matthew Costello

830 citations
28 papers · 501 · h-index 14

Impact in

Papers in

Matthew Costello

27 papers receiving 483 citations

Peers

Matthew Costello
Comparison fields: 5 of 38
  • Communication 221
  • Artificial Intelligence 294
  • Social Psychology 160
  • Sociology and Political Science 297
  • Gender Studies 35
Replace Phyllis B. Gerstenfeld with:
Phyllis B. Gerstenfeld United States
Jana Laura Egelhofer Austria
Ana María Giménez-Gualdo Spain
Jordana N. Navarro United States
Ashley V. Reichelmann United States
Chandell Gosse Canada
Tony Wang United States
Diana R. Grant United States
Florian Wintterlin Germany
Elena Martellozzo United Kingdom
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Citations per field
00.5×10×15.5×
Phyllis B. Gerstenfeld · 1×
Citations per year

Countries citing papers authored by Matthew Costello

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Costello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Costello, 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 Matthew Costello Line = papers co-authored together Matthew Costello links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201650
3 202044
4 201938
5 201837
6 201831
7 202225
8 201724
9 202018
10 201817
11 201617
12 202116
13 202114
14 202113
15 202310
16 201910
17
Virtually Standing Up or Standing By? Correlates of Enacting Social Control Online
20169
18 20209
19 20205
20 20204

About Matthew Costello

Matthew Costello is a scholar working on Artificial Intelligence, Sociology and Political Science, Communication, Social Psychology and Information Systems, having authored 28 papers that have together received 501 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (21 papers), Social Media and Politics (15 papers), Social and Intergroup Psychology (7 papers), Bullying, Victimization, and Aggression (5 papers), Terrorism, Counterterrorism, and Political Violence (5 papers), Misinformation and Its Impacts (3 papers), Cybercrime and Law Enforcement Studies (3 papers) and Gender, Feminism, and Media (3 papers). The work is most often cited by research in Communication (221 citations), Artificial Intelligence (294 citations), Social Psychology (160 citations), Sociology and Political Science (297 citations) and Gender Studies (35 citations). Matthew Costello has collaborated with scholars based in United States, Spain and Finland. Frequent co-authors include James E.Hawdon, Amanda Brown Cross, Feng Luo, Nishant Vishwamitra, Ashley V. Reichelmann, Cheng Long, Izabela Zych, Catherine Blaya, Atte Oksanen and Vicente J. Llorent. Their work appears in journals such as Social Science Computer Review, International Journal of Environmental Research and Public Health, American Journal of Criminal Justice, Computers in Human Behavior and Deviant Behavior.

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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