Scott E. Hudson

14.9k citations
262 papers · 10.4k indexed · h-index 58

Scott E. Hudson

259 papers receiving 9.7k citations

Peers

Scott E. Hudson
Comparison fields: 5 of 160
  • Human-Computer Interaction 6.1k
  • Cognitive Neuroscience 3.2k
  • Information Systems and Management 1.1k
  • Computer Vision and Pattern Recognition 2.9k
  • Computer Science Applications 493
Replace James A. Landay with:
James A. Landay United States
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Scott E. Hudson relative to James A. Landay United States James A. Landay's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Scott E. Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Hudson. 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 Scott E. Hudson. The network helps show where Scott E. Hudson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20232
3 202074
4 201936
5 201841
6 201641
7 20134
8
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
2010142
9 20109
10 200747
11
Classification of Chemical Data Sets Using Neural Networks.
20061
12 200665
13 200638
14
Case studies in the use of ROC curve analysis for sensor-based estimates in human computer interaction
200588
15 2005236
16 2004102
17 200259
18
Speech Interaction with Graphical User Interfaces.
20016
19
The Performance and Utility of the Cactis Implementation Algorithms
199017
20
Teach breath control to ease your patients' post-op pains.
19772

About Scott E. Hudson

Scott E. Hudson is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 262 papers that have together received 10.4k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (120 papers), Tactile and Sensory Interactions (73 papers), Usability and User Interface Design (34 papers), Augmented Reality Applications (28 papers), Innovative Human-Technology Interaction (27 papers), Personal Information Management and User Behavior (25 papers), Context-Aware Activity Recognition Systems (23 papers) and Gaze Tracking and Assistive Technology (20 papers). The work is most often cited by research in Human-Computer Interaction (6.1k citations), Cognitive Neuroscience (3.2k citations) and Information Systems and Management (1.1k citations). Scott E. Hudson has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Chris Harrison, Jennifer Mankoff, James Fogarty, Jodi Forlizzi, Daniel Avrahami, Ian Smith, Brad A. Myers, Randy Pausch, Johnny C. Lee and Robert Xiao. Their work appears in journals such as ACM Transactions on Graphics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction and ACM Transactions on Information Systems.

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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