John H. Flowers

1.6k total citations
43 papers, 1.2k citations indexed

About

John H. Flowers is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, John H. Flowers has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 19 papers in Experimental and Cognitive Psychology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in John H. Flowers's work include Visual perception and processing mechanisms (15 papers), Multisensory perception and integration (12 papers) and Neural and Behavioral Psychology Studies (11 papers). John H. Flowers is often cited by papers focused on Visual perception and processing mechanisms (15 papers), Multisensory perception and integration (12 papers) and Neural and Behavioral Psychology Studies (11 papers). John H. Flowers collaborates with scholars based in United States. John H. Flowers's co-authors include Thomas D. Green, Terri L. Bonebright, Perry R. Cook, Bruce N. Walker, Gregory Kramer, Eric C. Odgaard, Jack L. Warner, Michael D. Dodd, W. R. Garner and M. Susan Hallbeck and has published in prestigious journals such as Journal of Experimental Psychology Human Perception & Performance, Memory & Cognition and The American Journal of Psychology.

In The Last Decade

John H. Flowers

42 papers receiving 1.1k citations

Peers

John H. Flowers
Comparison fields: 5 of 96
  • Cognitive Neuroscience 874
  • Experimental and Cognitive Psychology 482
  • Social Psychology 237
  • Computer Vision and Pattern Recognition 198
  • Developmental and Educational Psychology 156
Replace Richard E. Pastore with:
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Citations per field, relative to John H. Flowers
John H. Flowers · 1×
Citations per year, relative to John H. Flowers
John H. Flowers · 1×

Countries citing papers authored by John H. Flowers

Since Specialization
Citations

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

Fields of papers citing papers by John H. Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John H. Flowers

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Flowers. A scholar is included among the top collaborators of John H. Flowers 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 H. Flowers. John H. Flowers 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
Sonific ation Report: Status of the Field and Research Agenda
185
2
Perceiving the relationship between discrete and continuous data: A comparison of sonified data display formats
1
3 17
4
SONIFICATION OF DAILY WEATHER RECORDS: ISSUES OF PERCEPTION, ATTENTION AND MEMORY IN DESIGN CHOICES
25
5 5
6 29
7 69
8 4
9 48
10 10
11 13
12 4
13 0
14 10
15 1
16 33
17 27
18 30
19 2
20 10

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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