Mark W. Becker

3.2k citations
86 papers · 2.5k · h-index 28

Impact in

Papers in

Mark W. Becker

80 papers receiving 2.4k citations

Peers

Mark W. Becker
Comparison fields: 5 of 161
  • Cognitive Neuroscience 1.0k
  • Experimental and Cognitive Psychology 456
  • General Decision Sciences 38
  • Sensory Systems 86
  • Human-Computer Interaction 89
Replace Gregory Francis with:
Gregory Francis United States
Eva G. Krumhuber United Kingdom
David A. Grant United States
Lei Mo China
Peter Hampson United Kingdom
Thomas Schäfer Germany
Hiroshi Nittono Japan
Andrew Stewart United Kingdom
Alex S. Cohen United States
Jung‐Seok Choi South Korea
Mark W. Becker relative to Gregory Francis United States Gregory Francis's profile →
Citations per field
00.5×1.6×
Gregory Francis · 1×
Citations per year

Countries citing papers authored by Mark W. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012221
2 1998170
3 2013169
4 2000129
5 1999111
6 201597
7 201194
8 199486
9 201374
10 200973
11 201071
12 201170
13 200767
14 199566
15 199461
16 200255
17 201552
18 199950
19 201548
20 201143

About Mark W. Becker

Mark W. Becker is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (30 papers), Visual perception and processing mechanisms (22 papers), Neural dynamics and brain function (7 papers), Color perception and design (6 papers), Visual Attention and Saliency Detection (5 papers), Face Recognition and Perception (5 papers), Decision-Making and Behavioral Economics (5 papers) and Visual and Cognitive Learning Processes (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Experimental and Cognitive Psychology (456 citations), General Decision Sciences (38 citations), Sensory Systems (86 citations) and Human-Computer Interaction (89 citations). Mark W. Becker has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Reem Alzahabi, Harold Pashler, Chad Peltier, Christopher J. Hopwood, Taosheng Liu, Stuart Anstis, Mallorie Leinenger, Laura Bix, Nora M. Bello and Lauren Julius Harris. Their work appears in journals such as Attention Perception & Psychophysics, Journal of Experimental Psychology Human Perception & Performance, PLoS ONE, Cognitive Research Principles and Implications and Perception.

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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