John A. Nicholson

29 papers receiving 1.1k citations

Peers

John A. Nicholson
Comparison fields: 5 of 117
  • Human-Computer Interaction 183
  • Cognitive Neuroscience 291
  • Renewable Energy, Sustainability and the Environment 234
  • Metals and Alloys 36
  • Computer Vision and Pattern Recognition 170
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Countries citing papers authored by John A. Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by John A. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002328
2 2005222
3 2006112
4 2005103
5 200956
6 201338
7 200728
8 197827
9 199724
10
A robotic wayfinding system for the visually impaired
200423
11 196521
12 197216
13 197913
14 197913
15 197713
16 196612
17 200812
18
The Blind Leading the Blind: Toward Collaborative Online Route Information Management by Individuals with Visual Impairments.
200810
19 19678
20 19976

About John A. Nicholson

John A. Nicholson is a scholar working on Materials Chemistry, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Automotive Engineering, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (8 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Advanced Chemical Physics Studies (3 papers), Robotics and Sensor-Based Localization (3 papers), Surface and Thin Film Phenomena (3 papers), Advanced materials and composites (3 papers), Diamond and Carbon-based Materials Research (3 papers) and Spatial Cognition and Navigation (3 papers). The work is most often cited by research in Human-Computer Interaction (183 citations), Cognitive Neuroscience (291 citations), Renewable Energy, Sustainability and the Environment (234 citations), Metals and Alloys (36 citations) and Computer Vision and Pattern Recognition (170 citations). John A. Nicholson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Vladimir Kulyukin, Chaitanya Gharpure, G. C. Allen, James S. Dalton, N.G. Jones, Daniel C. Coster, C.M. Younes, Robert Leckey, J. Liesegang and J.G. Jenkin. Their work appears in journals such as Journal of Electron Spectroscopy and Related Phenomena, Materials Science and Technology, Physical review. B, Condensed matter, Autonomous Robots and Nature.

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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