Paul Tennent

73 total papers · 1.5k total citations
50 papers, 913 citations indexed

About

Paul Tennent is a scholar working on Human-Computer Interaction, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Tennent has authored 50 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Human-Computer Interaction, 13 papers in Social Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Tennent's work include Innovative Human-Technology Interaction (23 papers), Virtual Reality Applications and Impacts (12 papers) and Interactive and Immersive Displays (10 papers). Paul Tennent is often cited by papers focused on Innovative Human-Technology Interaction (23 papers), Virtual Reality Applications and Impacts (12 papers) and Interactive and Immersive Displays (10 papers). Paul Tennent collaborates with scholars based in United Kingdom, Sweden and Denmark. Paul Tennent's co-authors include Steve Benford, Joe Marshall, Matthew Chalmers, Barry Brown, Malcolm Hall, Scott Sherwood, Marek Bell, Duncan Rowland, Louise Barkhuus and Chris Greenhalgh and has published in prestigious journals such as Food Quality and Preference, ACM Transactions on Computer-Human Interaction and Human-Computer Interaction.

In The Last Decade

Paul Tennent

46 papers receiving 859 citations

Author Peers

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

Author						Papers	Cites
Paul Tennent	579	206	171	139	126	50	913
Vaiva Kalnikaitė	479 0.8×	202 1.0×	115 0.7×	112 0.8×	91 0.7×	29	898
Gabriella Giannachi	635 1.1×	193 0.9×	256 1.5×	100 0.7×	100 0.8×	50	1.1k
Lora Oehlberg	517 0.9×	231 1.1×	228 1.3×	140 1.0×	124 1.0×	61	1.0k
Dag Svanæs	625 1.1×	154 0.7×	111 0.6×	88 0.6×	161 1.3×	48	1.2k
Jean-Bernard Martens	502 0.9×	255 1.2×	168 1.0×	148 1.1×	111 0.9×	31	933
Peter Kiefer	512 0.9×	317 1.5×	85 0.5×	143 1.0×	148 1.2×	70	1.1k
Daniel Fällman	741 1.3×	103 0.5×	194 1.1×	100 0.7×	74 0.6×	46	1.0k
Pedro Campos	370 0.6×	176 0.9×	158 0.9×	106 0.8×	117 0.9×	101	985
Yung-Ju Chang	326 0.6×	322 1.6×	159 0.9×	109 0.8×	138 1.1×	76	974
Danielle Wilde	758 1.3×	108 0.5×	120 0.7×	158 1.1×	130 1.0×	69	1.0k

Countries citing papers authored by Paul Tennent

Since Specialization

Citations

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

Fields of papers citing papers by Paul Tennent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Tennent

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