Brian Gibbs

2.8k citations
18 papers · 1.9k indexed · 1 hit paper · h-index 10
Topics
Decision-Making and Behavioral Economics (4 papers)Marine and Offshore Engineering Studies (4 papers)Consumer Behavior in Brand Consumption and Identification (3 papers)

In The Last Decade

Brian Gibbs

16 papers receiving 1.8k citations

Hit Papers

The reviewing of object files: Object-specific integratio...1992202620032014199250010001.5k

Peers

Brian Gibbs
Comparison fields: 5 of 113
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 405
  • Social Psychology 303
  • Developmental and Educational Psychology 286
  • Computer Vision and Pattern Recognition 163
Replace John V. McDonnell with:
John V. McDonnell United States
Ewart A. C. Thomas United States
Uma R. Karmarkar United States
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James N. MacGregor Canada
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Brian Gibbs relative to John V. McDonnell United States John V. McDonnell's profile →
Citations per field
00.5×1.5×2.3×
John V. McDonnell · 1×
Citations per year

Countries citing papers authored by Brian Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Gibbs. A scholar is included among the top collaborators of Brian Gibbs 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 Brian Gibbs. Brian Gibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 21
4
Effective Development of Life Extension Programs for Aging Offshore Facilities
1
5 2
6 0
7 1
8 16
9 4
10 111
11 23
12 14
13
Do Consumers Know What They Will Like
3
14 52
15 9
16
The reviewing of object files: Object-specific integration of informationbreakdown →
1507
17 118
18 66

About Brian Gibbs

Brian Gibbs is a scholar working on General Decision Sciences, Applied Psychology and Marketing, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (4 papers), Marine and Offshore Engineering Studies (4 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). The work is most often cited by research in General Decision Sciences (142 citations), Cognitive Neuroscience (1.2k citations) and Experimental and Cognitive Psychology (405 citations). Brian Gibbs has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Daniel Kahneman, Anne Treisman, Robin M. Hogarth, Craig R. M. McKenzie, Tracey S. Dagger, Peter J. Danaher, Jackie Snell, Carol Varey, Aimée Drolet and Patti Williams. Their work appears in journals such as Cognitive Psychology, Journal of Experimental Psychology Learning Memory and Cognition and Cancer Letters.

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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