Matthew Pike

38 papers receiving 302 citations

Peers

Matthew Pike
Comparison fields: 5 of 84
  • Human-Computer Interaction 65
  • Business and International Management 10
  • Cognitive Neuroscience 75
  • Computer Vision and Pattern Recognition 57
  • Management of Technology and Innovation 18
Replace Satinder P. Gill with:
Satinder P. Gill United Kingdom
Pablo Torres-Carrión Ecuador
Jacob Nielsen Denmark
Samuel Marcos-Pablos Spain
Amanda M. Williams United States
Chun-Heng Ho Taiwan
Sébastien Cuendet Switzerland
Wasen Y. Melhem Jordan
Joe Finney United Kingdom
Iveta Eimontaite United Kingdom
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Satinder P. Gill · 1×
Citations per year

Countries citing papers authored by Matthew Pike

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200944
2 201443
3 202025
4 201622
5 201521
6 201918
7 202016
8 202414
9 202311
10 202110
11 201910
12
The use of radio frequency ID tags to track ore in mining operations
20079
13 20238
14 20218
15
CUES: Cognitive Usability Evaluation System.
20127
16 20206
17
Continuous detection of workload overload: An fNIRS approach.
20146
18 20215
19 20165
20 20164

About Matthew Pike

Matthew Pike is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Human-Computer Interaction, Social Psychology and Cognitive Neuroscience, having authored 44 papers that have together received 326 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Context-Aware Activity Recognition Systems (6 papers), Software Testing and Debugging Techniques (5 papers), Gait Recognition and Analysis (5 papers), Human-Automation Interaction and Safety (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Human-Computer Interaction (65 citations), Business and International Management (10 citations), Cognitive Neuroscience (75 citations), Computer Vision and Pattern Recognition (57 citations) and Management of Technology and Innovation (18 citations). Matthew Pike has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Max L. Wilson, Maureen Meadows, Dave Towey, Horia A. Maior, Sarah Sharples, Boon Giin Lee, Steve Benford, Martin Porcheron, Wan‐Young Chung and Yifan Zhang. Their work appears in journals such as Sensors, Information and Software Technology, Multimedia Tools and Applications, IEEE Sensors Journal and Interactive Technology and Smart Education.

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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