Tom Feltwell

520 citations
23 papers · 365 · h-index 10

Impact in

Papers in

Tom Feltwell

23 papers receiving 355 citations

Peers

Tom Feltwell
Comparison fields: 5 of 70
  • Human-Computer Interaction 133
  • Communication 79
  • Applied Psychology 16
  • Gender Studies 30
  • Management of Technology and Innovation 22
Replace Ihudiya Finda Ogbonnaya-Ogburu with:
Ihudiya Finda Ogbonnaya-Ogburu United States
Madeline Smith United States
Aditya Vishwanath United States
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Leanne Bowler United States
Vilma Lehtinen Finland
June Abbas United States
Christian Sturm Germany
Kaiton Williams United States
Angelika Strohmayer United Kingdom
Tom Feltwell relative to Ihudiya Finda Ogbonnaya-Ogburu United States Ihudiya Finda Ogbonnaya-Ogburu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tom Feltwell

Since Specialization
Citations

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

Fields of papers citing papers by Tom Feltwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 201736
3 201835
4 201630
5 201529
6 201921
7 201721
8 201819
9 201816
10 201713
11 20209
12 20208
13 20178
14 20186
15 20154
16 20224
17 20154
18 20223
19 20192
20 20171

About Tom Feltwell

Tom Feltwell is a scholar working on Communication, Sociology and Political Science, Human-Computer Interaction, Gender Studies and Artificial Intelligence, having authored 23 papers that have together received 365 indexed citations. Recurring topics across this work include Social Media and Politics (8 papers), Gender, Feminism, and Media (6 papers), Innovative Human-Technology Interaction (6 papers), Digital Games and Media (5 papers), Media Studies and Communication (3 papers), Artificial Intelligence in Games (2 papers), Blockchain Technology Applications and Security (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Human-Computer Interaction (133 citations), Communication (79 citations), Applied Psychology (16 citations), Gender Studies (30 citations) and Management of Technology and Innovation (22 citations). Tom Feltwell has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Shaun Lawson, Ben Kirman, John Vines, Conor Linehan, Lisa Hopkins, Julie Barnett, Phillip Brooker, Selina Sutton, Chris Elsden and Asbjørn Følstad. Their work appears in journals such as New Media & Society, Computer Supported Cooperative Work (CSCW), Big Data & Society, International Journal of Human-Computer Interaction and UvA-DARE (University of Amsterdam).

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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