Mark E. McCourt

5.1k citations
99 papers · 3.8k indexed · 1 hit paper · h-index 30

Mark E. McCourt

96 papers receiving 3.8k citations

Hit Papers

Pseudoneglect: a review and meta-analysis of performance ...9462000202620082017250500750

Peers

Mark E. McCourt
Comparison fields: 5 of 129
  • Cognitive Neuroscience 3.2k
  • Experimental and Cognitive Psychology 337
  • Social Psychology 480
  • Statistics and Probability 184
  • Automotive Engineering 263
Replace Laure Zago with:
Laure Zago France
Frank H. Durgin United States
Casper J. Erkelens Netherlands
Masato Taira Japan
E. William Yund United States
Manfred Fahle Germany
Hans Strasburger Germany
Lawrence H. Snyder United States
Clifton M. Schor United States
Laurent Petit France
Mark E. McCourt relative to Laure Zago France Laure Zago's profile →
Citations per field
00.5×1.5×1.9×
Laure Zago · 1×
Citations per year

Countries citing papers authored by Mark E. McCourt

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. McCourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20198
3 20165
4 201519
5 20144
6 201227
7 20111
8
Quantifying the Importance of Image and Perception to Bus Rapid Transit
200932
9 20097
10 200829
11 2004110
12 200159
13 200160
14 200043
15 1999168
16 199744
17 19949
18 19939
19 19911
20 199019

About Mark E. McCourt

Mark E. McCourt is a scholar working on Cognitive Neuroscience, Media Technology and Sensory Systems, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (53 papers), Color Science and Applications (21 papers), Spatial Neglect and Hemispheric Dysfunction (20 papers), Neural dynamics and brain function (17 papers), Color perception and design (12 papers), Hemispheric Asymmetry in Neuroscience (10 papers), Neurobiology and Insect Physiology Research (8 papers) and Advanced Optical Imaging Technologies (8 papers). The work is most often cited by research in Cognitive Neuroscience (3.2k citations), Experimental and Cognitive Psychology (337 citations) and Social Psychology (480 citations). Mark E. McCourt has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include George Jewell, Barbara Blakeslee, John J. Foxe, Daniel C. Javitt, Michael Behringer, Joachim Mester, John Miles Foley, J. Bullier, G. H. Henry and Michael D. Robinson. Their work appears in journals such as Vision Research, Journal of Vision, Journal of the Optical Society of America A, Neuropsychologia and Cortex.

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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