W. Joseph MacInnes

1.1k total citations
37 papers, 810 citations indexed

About

W. Joseph MacInnes is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, W. Joseph MacInnes has authored 37 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in W. Joseph MacInnes's work include Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (14 papers) and Neural dynamics and brain function (8 papers). W. Joseph MacInnes is often cited by papers focused on Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (14 papers) and Neural dynamics and brain function (8 papers). W. Joseph MacInnes collaborates with scholars based in Russia, United Kingdom and Canada. W. Joseph MacInnes's co-authors include Raymond M. Klein, Amelia R. Hunt, Tracy Taylor, Lianne Stanford, Richard E. Brown, David I. Shore, William Wright, Jasna Martinović, Galina V. Paramei and Árni Kristjánsson and has published in prestigious journals such as Scientific Reports, Psychological Science and Cognition.

In The Last Decade

W. Joseph MacInnes

32 papers receiving 795 citations

Peers

W. Joseph MacInnes
Comparison fields: 5 of 90
  • Cognitive Neuroscience 642
  • Computer Vision and Pattern Recognition 168
  • Experimental and Cognitive Psychology 142
  • Human-Computer Interaction 98
  • Social Psychology 70
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Citations per field, relative to W. Joseph MacInnes
W. Joseph MacInnes · 1×
Citations per year, relative to W. Joseph MacInnes
W. Joseph MacInnes · 1×

Countries citing papers authored by W. Joseph MacInnes

Since Specialization
Citations

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

Fields of papers citing papers by W. Joseph MacInnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Joseph MacInnes. 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 W. Joseph MacInnes. The network helps show where W. Joseph MacInnes may publish in the future.

Co-authorship network of co-authors of W. Joseph MacInnes

This figure shows the co-authorship network connecting the top 25 collaborators of W. Joseph MacInnes. A scholar is included among the top collaborators of W. Joseph MacInnes 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 W. Joseph MacInnes. W. Joseph MacInnes 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
# Work Indexed citations
1 0
2 0
3 1
4 4
5 3
6 32
7 1
8 15
9 24
10 20
11 1
12 3
13 13
14 10
15 4
16 6
17 2
18
When dog is more wolf than bone: Computational and electrophysiological evidence for featural organization of semantic memory
0
19 30
20 47

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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