Roy A. Ruddle

3.7k total citations
88 papers, 2.4k citations indexed

About

Roy A. Ruddle is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Roy A. Ruddle has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Human-Computer Interaction, 31 papers in Computer Vision and Pattern Recognition and 28 papers in Automotive Engineering. Recurrent topics in Roy A. Ruddle's work include Spatial Cognition and Navigation (28 papers), Virtual Reality Applications and Impacts (24 papers) and Data Visualization and Analytics (16 papers). Roy A. Ruddle is often cited by papers focused on Spatial Cognition and Navigation (28 papers), Virtual Reality Applications and Impacts (24 papers) and Data Visualization and Analytics (16 papers). Roy A. Ruddle collaborates with scholars based in United Kingdom, Germany and Australia. Roy A. Ruddle's co-authors include Dylan M. Jones, Simon Lessels, Stephen J. Payne, Ekaterina Volkova, HH Bülthoff, Darren Treanor, Rebecca Randell, Justin Savage, Patrick Péruch and Philip Quirke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Science and Journal of Medical Internet Research.

In The Last Decade

Roy A. Ruddle

84 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roy A. Ruddle United Kingdom 25 1.1k 989 754 569 283 88 2.4k
John L. Sibert United States 21 984 0.9× 399 0.4× 624 0.8× 491 0.9× 224 0.8× 49 1.8k
Rudolph P. Darken United States 16 683 0.6× 530 0.5× 533 0.7× 240 0.4× 136 0.5× 37 1.3k
Kay M. Stanney United States 28 2.3k 2.2× 313 0.3× 628 0.8× 975 1.7× 953 3.4× 88 3.5k
Danaë Stanton Fraser United Kingdom 29 1.2k 1.1× 298 0.3× 643 0.9× 366 0.6× 251 0.9× 115 3.1k
Eric D. Ragan United States 26 1.2k 1.1× 237 0.2× 838 1.1× 410 0.7× 336 1.2× 99 2.3k
Victoria Interrante United States 28 1.1k 1.0× 214 0.2× 1.4k 1.8× 699 1.2× 234 0.8× 113 2.8k
Ernst Kruijff Germany 25 2.4k 2.3× 342 0.3× 1.7k 2.2× 980 1.7× 315 1.1× 81 3.2k
Carolina Cruz‐Neira United States 18 2.1k 1.9× 188 0.2× 1.9k 2.5× 550 1.0× 269 1.0× 84 3.8k
J. Edward Swan United States 27 2.0k 1.9× 364 0.4× 2.1k 2.8× 656 1.2× 312 1.1× 116 3.2k
Nicholas A. Giudice United States 23 449 0.4× 410 0.4× 186 0.2× 968 1.7× 150 0.5× 68 1.4k

Countries citing papers authored by Roy A. Ruddle

Since Specialization
Citations

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

Fields of papers citing papers by Roy A. Ruddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy A. Ruddle. 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 Roy A. Ruddle. The network helps show where Roy A. Ruddle may publish in the future.

Co-authorship network of co-authors of Roy A. Ruddle

This figure shows the co-authorship network connecting the top 25 collaborators of Roy A. Ruddle. A scholar is included among the top collaborators of Roy A. Ruddle 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 Roy A. Ruddle. Roy A. Ruddle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borgo, Rita, et al.. (2025). Reflections on the Use of Dashboards in the COVID-19 Pandemic. IEEE Computer Graphics and Applications. 45(2). 135–142.
2.
Randell, Rebecca, Natasha Alvarado, Robert West, et al.. (2022). Design and evaluation of an interactive quality dashboard for national clinical audit data: a realist evaluation. SHILAP Revista de lepidopterología. 10(12). 1–156. 8 indexed citations
3.
Ruddle, Roy A., et al.. (2022). Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data. BMJ Open. 12(11). e064887–e064887. 5 indexed citations
4.
Alvarado, Natasha, Joanne Greenhalgh, Dawn Dowding, et al.. (2021). Analysis of a Web-Based Dashboard to Support the Use of National Audit Data in Quality Improvement: Realist Evaluation. Journal of Medical Internet Research. 23(11). e28854–e28854. 8 indexed citations
5.
Alvarado, Natasha, Joanne Greenhalgh, Chris P Gale, et al.. (2021). Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT. BMC Health Services Research. 21(1). 702–702. 9 indexed citations
6.
Keen, Justin, et al.. (2020). Machine learning, materiality and governance: A health and social care case study. Information Polity. 26(1). 57–69. 4 indexed citations
7.
Randell, Rebecca, et al.. (2020). QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. IEEE Transactions on Visualization and Computer Graphics. 27(2). 689–699. 25 indexed citations
8.
Randell, Rebecca, Roy A. Ruddle, & Darren Treanor. (2015). Barriers and facilitators to the introduction of digital pathology for diagnostic work.. PubMed. 216. 443–7. 9 indexed citations
9.
Randell, Rebecca, et al.. (2014). Diagnosis of major cancer resection specimens with virtual slides: impact of a novel digital pathology workstation. Human Pathology. 45(10). 2101–2106. 24 indexed citations
10.
Randell, Rebecca, et al.. (2012). Virtual reality microscope versus conventional microscope regarding time to diagnosis: an experimental study. Histopathology. 62(2). 351–358. 35 indexed citations
11.
Bray, Mark‐Anthony, et al.. (2011). Visualization of Parameter Space for Image Analysis. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2402–2411. 49 indexed citations
12.
Randell, Rebecca, et al.. (2011). Working at the microscope: analysis of the activities involved in diagnostic pathology. Histopathology. 60(3). 504–510. 12 indexed citations
13.
Randell, Rebecca, et al.. (2011). Diagnosis at the microscope: a workplace study of histopathology. Cognition Technology & Work. 14(4). 319–335. 13 indexed citations
14.
Ruddle, Roy A., Ekaterina Volkova, Betty J. Mohler, & HH Bülthoff. (2010). The effect of landmark and body-based sensory information on route knowledge. Memory & Cognition. 39(4). 686–699. 71 indexed citations
15.
Treanor, Darren, et al.. (2009). Virtual reality Powerwall versus conventional microscope for viewing pathology slides: an experimental comparison. Histopathology. 55(3). 294–300. 40 indexed citations
16.
17.
Ng, Kia, et al.. (2002). Notation and 3D Animation of Dance Movement. The Journal of the Abraham Lincoln Association. 2002. 1 indexed citations
18.
Gray, Nicola S., et al.. (2002). Which schizotypal dimensions abolish latent inhibition?. British Journal of Clinical Psychology. 41(3). 271–284. 58 indexed citations
19.
Gray, Nicola S., Jacob M. Williams, Mercedes Fernández, et al.. (2001). Context dependent latent inhibition in adult humans. The Quarterly Journal of Experimental Psychology Section B. 54(3). 233–245. 19 indexed citations
20.
Ruddle, Roy A., Stephen J. Payne, & Dylan M. Jones. (1997). Navigating buildings in "desk-top" virtual environments: Experimental investigations using extended navigational experience.. Journal of Experimental Psychology Applied. 3(2). 143–159. 32 indexed citations

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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