Scott Mackey

4.3k citations
32 papers · 1.1k indexed · h-index 16

Impact in

Papers in

Scott Mackey

31 papers receiving 1.1k citations

Peers

Scott Mackey
Comparison fields: 5 of 94
  • Cognitive Neuroscience 660
  • Experimental and Cognitive Psychology 187
  • Developmental Biology 31
  • General Decision Sciences 25
  • Cellular and Molecular Neuroscience 216
Replace Masataka Watanabe with:
Masataka Watanabe Japan
Susannah C. Walker United Kingdom
Franz-Xaver Neubert United Kingdom
Martin D. Vestergaard United Kingdom
Nicole A. Tetreault United States
Araceli Rosa Spain
Farshad A. Mansouri Australia
Tilmann A. Klein Germany
W. Ross Fulham Australia
Kyoichi Nakajima Japan
Scott Mackey relative to Masataka Watanabe Japan Masataka Watanabe's profile →
Citations per field
00.5×4.6×
Masataka Watanabe · 1×
Citations per year

Countries citing papers authored by Scott Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Scott Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005252
2 2019105
3 201497
4 201390
5 201081
6 201278
7 201365
8 200440
9 202137
10 201333
11 202231
12 201530
13 201328
14 200922
15 201519
16 202117
17 202012
18 20156
19 20186
20 20245

About Scott Mackey

Scott Mackey is a scholar working on General Decision Sciences, Cognitive Neuroscience, Biological Psychiatry, Experimental and Cognitive Psychology and Toxicology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural and Behavioral Psychology Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neural dynamics and brain function (4 papers), Action Observation and Synchronization (3 papers), Diet and metabolism studies (3 papers), Memory and Neural Mechanisms (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Cognitive Neuroscience (660 citations), Experimental and Cognitive Psychology (187 citations), Developmental Biology (31 citations), General Decision Sciences (25 citations) and Cellular and Molecular Neuroscience (216 citations). Scott Mackey has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael Petrides, Martin P. Paulus, Geneviève Cadoret, Stephen Frey, Joshua L. Gowin, Hugh Garavan, Jennifer Laurent, Bader Chaarani, Nicholas Allgaier and Shana Adise. Their work appears in journals such as Biological Psychiatry, NeuroImage, European Journal of Neuroscience, Drug and Alcohol Dependence and Experimental Neurology.

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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