Beverly L. Harrison

5.8k citations
48 papers · 4.0k indexed · 3 hit papers · h-index 27

Impact in

Papers in

Beverly L. Harrison

47 papers receiving 3.7k citations

Hit Papers

UbiGreen 2009 · 388 citations
3882008202620142020250500750

Peers

Beverly L. Harrison
Comparison fields: 5 of 131
  • Human-Computer Interaction 2.1k
  • Computer Vision and Pattern Recognition 1.5k
  • Applied Psychology 369
  • Computer Science Applications 376
  • Transportation 386
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Jorge Gonçalves Australia
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Susanne Boll Germany
Jesper Kjeldskov Denmark
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Chris Greenhalgh United Kingdom
Giulio Jacucci Finland
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Citations per field
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Citations per year

Countries citing papers authored by Beverly L. Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Beverly L. Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly L. Harrison. 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 Beverly L. Harrison. The network helps show where Beverly L. Harrison may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201253
2 201147
3 200984
4
Examining difficulties software developers encounter in the adoption of statistical machine learning
200821
5 200743
6 20056
7 200518
8 200053
9 19997
10 19995
11 199930
12 1999397
13 1998169
14
Multimedia tools for social and interactional data collection and analysis
19952
15 199586
16 19931
17 19932
18 199233
19 199111
20 19892

About Beverly L. Harrison

Beverly L. Harrison is a scholar working on Human-Computer Interaction, Information Systems and Management, Computer Vision and Pattern Recognition, Computer Science Applications and Cognitive Neuroscience, having authored 48 papers that have together received 4.0k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (18 papers), Tactile and Sensory Interactions (12 papers), Usability and User Interface Design (11 papers), Innovative Human-Technology Interaction (11 papers), Personal Information Management and User Behavior (8 papers), Augmented Reality Applications (8 papers), Context-Aware Activity Recognition Systems (7 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Human-Computer Interaction (2.1k citations), Computer Vision and Pattern Recognition (1.5k citations), Applied Psychology (369 citations), Computer Science Applications (376 citations) and Transportation (386 citations). Beverly L. Harrison has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James A. Landay, Sunny Consolvo, Jon E. Froehlich, Anuj Gujar, Kenneth P. Fishkin, Roy Want, Predrag Klasnja, Mike Y. Chen, Anthony LaMarca and Louis Legrand. Their work appears in journals such as International Journal of Human-Computer Interaction, IEEE Pervasive Computing, IEEE Computer Graphics and Applications, Communications of the ACM and Occupational Therapy In Health Care.

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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