Paul Johns

1.5k citations
34 papers · 959 · h-index 18

Impact in

Papers in

Paul Johns

32 papers receiving 921 citations

Peers

Paul Johns
Comparison fields: 5 of 102
  • Human-Computer Interaction 338
  • Information Systems and Management 245
  • Applied Psychology 159
  • Computer Science Applications 76
  • Experimental and Cognitive Psychology 136
Replace Sandy J. J. Gould with:
Sandy J. J. Gould United Kingdom
Yung-Ju Chang Taiwan
Jason Wiese United States
Benjamin R. Cowan Ireland
Tim Tijs Netherlands
Alison M. Walton United States
Penelope Sweetser Australia
Vaiva Kalnikaitė United Kingdom
Katherine Everitt United States
Asta Roseway United States
Paul Johns relative to Sandy J. J. Gould United Kingdom Sandy J. J. Gould's profile →
Citations per field
00.5×3.2×
Sandy J. J. Gould · 1×
Citations per year

Countries citing papers authored by Paul Johns

Since Specialization
Citations

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

Fields of papers citing papers by Paul Johns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016108
2 2014108
3 201265
4 201460
5 201556
6 201454
7 201651
8 200948
9 200945
10 201342
11 201640
12 201237
13 201725
14 201723
15 202222
16 201620
17 201518
18 201217
19 201514
20 201514

About Paul Johns

Paul Johns is a scholar working on Human-Computer Interaction, Information Systems and Management, Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology, having authored 34 papers that have together received 959 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (9 papers), Impact of Technology on Adolescents (5 papers), Innovative Human-Technology Interaction (5 papers), Mind wandering and attention (5 papers), Digital Mental Health Interventions (4 papers), Color perception and design (3 papers), Interactive and Immersive Displays (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Human-Computer Interaction (338 citations), Information Systems and Management (245 citations), Applied Psychology (159 citations), Computer Science Applications (76 citations) and Experimental and Cognitive Psychology (136 citations). Paul Johns has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mary Czerwinski, Gloria Mark, Shamsi T. Iqbal, Asta Roseway, Akane Sano, Yuliya Lutchyn, Aaron Hoff, Kael Rowan, Brian Meyers and A. J. Bernheim Brush. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), IEEE Transactions on Visualization and Computer Graphics, Personal and Ubiquitous Computing, Proceedings of the ACM on Human-Computer Interaction and 2021 IEEE Sensors.

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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