John Rooksby

47 papers receiving 1.3k citations

John Rooksby's Hit Papers

Personal tracking as lived informatics 2014 · 456 citations
4560+4+8Years since publication100200300400

Peers

John Rooksby
Comparison fields: 5 of 115
  • Human-Computer Interaction 578
  • Applied Psychology 231
  • Demography 185
  • Information Systems and Management 105
  • Software 56
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Ian Li United States
Finn Kensing Denmark
Michael McTear United Kingdom
Åsa Cajander Sweden
Daniel Avrahami United States
Karel Vredenburg Canada
Mauro Cherubini Switzerland
Jan Gulliksen Sweden
Martin Maguire United Kingdom
Sonja Pedell Australia
John Rooksby relative to Ian Li United States Ian Li's profile →
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Countries citing papers authored by John Rooksby

Since Specialization
Citations

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

Fields of papers citing papers by John Rooksby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Personal tracking as lived informatics
Hit paper breakdown →
2014456
2 201881
3 200767
4 201965
5 200460
6 200954
7 201644
8 201940
9 201940
10 201239
11 202132
12 201532
13 201723
14 200622
15 201321
16 202320
17 201618
18 200918
19 201317
20 200616

About John Rooksby

John Rooksby is a scholar working on Human-Computer Interaction, Sociology and Political Science, Information Systems, Demography and General Health Professions, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (16 papers), Usability and User Interface Design (9 papers), Information Systems Theories and Implementation (7 papers), Software Engineering Techniques and Practices (5 papers), Personal Information Management and User Behavior (4 papers), Software Engineering Research (4 papers), Mobile Health and mHealth Applications (4 papers) and Sharing Economy and Platforms (4 papers). The work is most often cited by research in Human-Computer Interaction (578 citations), Applied Psychology (231 citations), Demography (185 citations), Information Systems and Management (105 citations) and Software (56 citations). John Rooksby has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Alistair Morrison, Matthew Chalmers, Mattias Rost, Ian Sommerville, Mark Rouncefield, Cindy M. Gray, Marta E. Cecchinato, Dave Murray-Rust, David Martín and Andrew F Smith. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), Proceedings of the ACM on Human-Computer Interaction, International Journal of Medical Informatics, Policy & Internet and JMIR mhealth and uhealth.

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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