Chris McCarthy

1.9k citations
90 papers · 1.0k · h-index 16

Impact in

Papers in

Chris McCarthy

81 papers receiving 1.0k citations

Peers

Chris McCarthy
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 342
  • Human-Computer Interaction 71
  • Cellular and Molecular Neuroscience 211
  • Cognitive Neuroscience 219
  • Sensory Systems 42
Replace Gang Luo with:
Gang Luo United States
Qi Li China
Mark Sagar New Zealand
Peter Werkhoven Netherlands
George K. Hung United States
Teng Leng Ooi United States
Zijiang J. He United States
Lawrence Stark United States
Paul A. Warren United Kingdom
Alex Chaparro United States
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Citations per field
00.5×
Gang Luo · 1×
Citations per year

Countries citing papers authored by Chris McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Chris McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016164
2 201886
3 201779
4 200453
5 202046
6 201438
7 201637
8 200836
9 201834
10 201829
11 201626
12 201924
13 202123
14 201716
15 201216
16 202115
17 200913
18 201912
19 201512
20 202011

About Chris McCarthy

Chris McCarthy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (21 papers), Advanced Memory and Neural Computing (13 papers), Tactile and Sensory Interactions (8 papers), EEG and Brain-Computer Interfaces (8 papers), Assistive Technology in Communication and Mobility (8 papers), Robotics and Sensor-Based Localization (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Human-Computer Interaction (71 citations), Cellular and Molecular Neuroscience (211 citations), Cognitive Neuroscience (219 citations) and Sensory Systems (42 citations). Chris McCarthy has collaborated with scholars based in Australia, Malaysia and United States. Frequent co-authors include Nick Barnes, Dagan Feng, Shaodi You, Marco Amati, Ebadat Ghanbari Parmehr, Janine Walker, Karl Glazebrook, Thomas E. Collett, Colin Jacobs and Anupreeta More. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Neural Engineering, IEEE Access, Journal of Visualized Experiments and Monthly Notices of the Royal Astronomical Society.

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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