Ju Row-Farr

1.2k citations
8 papers · 809 indexed · h-index 8

Impact in

Papers in

Ju Row-Farr

8 papers receiving 701 citations

Peers

Ju Row-Farr
Comparison fields: 5 of 63
  • Human-Computer Interaction 541
  • Computer Vision and Pattern Recognition 348
  • Developmental and Educational Psychology 98
  • Transportation 50
  • Computer Science Applications 34
Replace Rob Anastasi with:
Rob Anastasi United Kingdom
Nick Tandavanitj United Kingdom
Adam Drozd United Kingdom
Elena Not Italy
Mark Paxton United Kingdom
Derek Reilly Canada
Leif Oppermann Germany
Marek Bell United Kingdom
David Bargeron United States
David Dearman Canada
Ju Row-Farr relative to Rob Anastasi United Kingdom Rob Anastasi's profile →
Citations per field
00.5×1.5×
Rob Anastasi · 1×
Citations per year

Countries citing papers authored by Ju Row-Farr

Since Specialization
Citations

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

Fields of papers citing papers by Ju Row-Farr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Row-Farr. 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 Ju Row-Farr. The network helps show where Ju Row-Farr may publish in the future.

Co-authors

The 20 scholars most cited alongside Ju Row-Farr, 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 Ju Row-Farr Line = papers co-authored together Ju Row-Farr links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006268
2 2003163
3 2003108
4 200482
5 200179
6
Uncle Roy All Around You: Implicating the City in a Location-Based Performance
200470
7 200321
8 200318

About Ju Row-Farr

Ju Row-Farr is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Sociology and Political Science, Information Systems and Management and Communication, having authored 8 papers that have together received 809 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Augmented Reality Applications (4 papers), Digital Games and Media (2 papers), Innovative Human-Technology Interaction (2 papers), Personal Information Management and User Behavior (2 papers), Context-Aware Activity Recognition Systems (2 papers), Interactive and Immersive Displays (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Human-Computer Interaction (541 citations), Computer Vision and Pattern Recognition (348 citations), Developmental and Educational Psychology (98 citations), Transportation (50 citations) and Computer Science Applications (34 citations). Ju Row-Farr has collaborated with scholars based in United Kingdom. Frequent co-authors include Steve Benford, Matt Adams, Nick Tandavanitj, Martin Flintham, Rob Anastasi, Andy Crabtree, Adam Drozd, Chris Greenhalgh, Mark Paxton and Terry Hemmings. Their work appears in journals such as IEEE Pervasive Computing and ACM Transactions on Computer-Human Interaction.

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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