John C. Baird

5.1k citations
142 papers · 3.6k indexed · 1 hit paper · h-index 35
Topics
Visual perception and processing mechanisms (27 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (18 papers)Color perception and design (17 papers)

In The Last Decade

John C. Baird

138 papers receiving 3.4k citations

Hit Papers

Fundamentals of scaling and psychophysics19782026199420101978100200300

Peers

John C. Baird
Comparison fields: 5 of 173
  • Cognitive Neuroscience 1.4k
  • Experimental and Cognitive Psychology 782
  • Pulmonary and Respiratory Medicine 516
  • Social Psychology 463
  • Statistics and Probability 359
Replace E. C. Poulton with:
E. C. Poulton United Kingdom
Martha Teghtsoonian United States
Lynn A. Cooper United States
James P. Egan United States
Ardie Lubin United States
Trisha Van Zandt United States
A.W.K. Gaillard Netherlands
Joel S. Warm United States
Joachim Vandekerckhove United States
J. Orbach United States
John C. Baird relative to E. C. Poulton United Kingdom E. C. Poulton's profile →
Citations per field
00.5×9.7×
E. C. Poulton · 1×
Citations per year

Countries citing papers authored by John C. Baird

Since Specialization
Citations

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

Fields of papers citing papers by John C. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Baird. 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 John C. Baird. The network helps show where John C. Baird may publish in the future.

Co-authorship network of co-authors of John C. Baird

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Baird. A scholar is included among the top collaborators of John C. Baird 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 John C. Baird. John C. Baird 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 14
2 22
3 34
4 31
5 73
6 12
7 23
8 31
9 19
10 96
11 5
12 1
13 65
14 20
15 2
16 4
17 1
18
Fundamentals of scaling and psychophysicsbreakdown →
373
19 1
20 23

About John C. Baird

John C. Baird is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Speech and Hearing, having authored 142 papers that have together received 3.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (18 papers) and Color perception and design (17 papers). The work is most often cited by research in General Psychology (133 citations), Cognitive Neuroscience (1.4k citations) and Experimental and Cognitive Psychology (782 citations). John C. Baird has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Elliot Noma, Donald A. Mahler, Joseph Ward, N. N. Patricios, R. Duncan Luce, Laurie A. Waterman, David M. Green, Robert N. Jamison, Gilbert J. Fanciullo and Gregory J. McHugo. Their work appears in journals such as Contemporary Sociology A Journal of Reviews, PLoS ONE and Journal of Applied Psychology.

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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