Jim Budd

436 citations
14 papers · 365 · h-index 7

Impact in

    • Interactive and Immersive Displays
    • Innovative Human-Technology Interaction
    • Virtual Reality Applications and Impacts
    • Gaze Tracking and Assistive Technology
    • Usability and User Interface Design
  • Museology top 5%

Papers in

Jim Budd

13 papers receiving 351 citations

Peers

Jim Budd
Comparison fields: 5 of 62
  • Human-Computer Interaction 233
  • Museology 26
  • Cognitive Neuroscience 92
  • Architecture 6
  • Computer Science Applications 21
Replace Fangtian Ying with:
Fangtian Ying China
Karen Johanne Kortbek Denmark
Tomas Sokoler Denmark
Sandra Pauletto United Kingdom
Pedro Branco Portugal
Greg Corness Canada
Martin Ludvigsen Denmark
Oğuzhan Özcan Türkiye
Panagiotis Markopoulos Finland
Daniel Tetteroo Netherlands
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Citations per field
00.5×5×11.7×
Fangtian Ying · 1×
Citations per year

Countries citing papers authored by Jim Budd

Since Specialization
Citations

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

Fields of papers citing papers by Jim Budd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jim Budd, 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 Jim Budd Line = papers co-authored together Jim Budd links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013130
2 201466
3 200947
4 201741
5 200740
6 199910
7 20179
8 20047
9 20187
10 20095
11
Industrial Design Education
20171
12
Interface and Narrative Texture.
20051
13 20171
14
The integration project : A new educational model for interactive product design: validating utility, performance, and experience
20050

About Jim Budd

Jim Budd is a scholar working on Human-Computer Interaction, Mechanical Engineering, Computer Vision and Pattern Recognition, Marketing and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 365 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (4 papers), Design Education and Practice (4 papers), Innovative Human-Technology Interaction (4 papers), Augmented Reality Applications (2 papers), Usability and User Interface Design (2 papers), Additive Manufacturing and 3D Printing Technologies (1 paper), Ergonomics and Musculoskeletal Disorders (1 paper) and Business Strategies and Innovation (1 paper). The work is most often cited by research in Human-Computer Interaction (233 citations), Museology (26 citations), Cognitive Neuroscience (92 citations), Architecture (6 citations) and Computer Science Applications (21 citations). Jim Budd has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Halley P. Profita, Scott M. Gilliland, James Clawson, Clint Zeagler, Thad E. Starner, Clement Zheng, Ron Wakkary, Lucy E. Dunne, Marek Hatala and Karen Tanenbaum. Their work appears in journals such as Archives of Design Research, IT Professional, Lecture notes in computer science, Digital Creativity and EDULEARN proceedings.

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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