Eugene McSorley

1.6k citations
49 papers · 1.3k indexed · h-index 21
Topics
Visual perception and processing mechanisms (29 papers)Neural and Behavioral Psychology Studies (20 papers)Multisensory perception and integration (11 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Eugene McSorley

46 papers receiving 1.3k citations

Peers

Eugene McSorley
Comparison fields: 5 of 92
  • Cognitive Neuroscience 983
  • Experimental and Cognitive Psychology 296
  • Sensory Systems 151
  • Computer Vision and Pattern Recognition 114
  • Human-Computer Interaction 113
Replace Michael Zehetleitner with:
Michael Zehetleitner Germany
Anne P. Hillstrom United Kingdom
Mackenzie G. Glaholt Canada
Patryk A. Laurent United States
Andrew B. Leber United States
Wieske van Zoest Italy
Joseph Krummenacher Germany
Benjamin T. Vincent United Kingdom
Richard Godijn Netherlands
Andrea De Cesarei Italy
Eugene McSorley relative to Michael Zehetleitner Germany Michael Zehetleitner's profile →
Citations per field
00.5×1.5×1.8×
Michael Zehetleitner · 1×
Citations per year

Countries citing papers authored by Eugene McSorley

Since Specialization
Citations

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

Fields of papers citing papers by Eugene McSorley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene McSorley

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene McSorley. A scholar is included among the top collaborators of Eugene McSorley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugene McSorley. Eugene McSorley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 24
4 3
5 7
6 11
7 13
8 3
9 16
10 39
11 33
12 6
13 54
14 137
15 64
16 34
17 79
18 63
19 33
20 57

About Eugene McSorley

Eugene McSorley is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (29 papers), Neural and Behavioral Psychology Studies (20 papers) and Multisensory perception and integration (11 papers). The work is most often cited by research in Cognitive Neuroscience (983 citations), General Decision Sciences (64 citations) and Sensory Systems (151 citations). Eugene McSorley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robin Walker, Patrick Haggard, John M. Findlay, Iain D. Gilchrist, Casimir J. H. Ludwig, Iain Fraser, Kelvin Balcombe, Jayne Morriss, Carien M. van Reekum and Rachel McCloy. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

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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