John C. Castura

2.2k citations
48 papers · 1.7k indexed · 1 hit paper · h-index 22
Topics
Sensory Analysis and Statistical Methods (45 papers)Biochemical Analysis and Sensing Techniques (18 papers)Meat and Animal Product Quality (9 papers)
Partner nations
UruguayNorwayCanada

In The Last Decade

John C. Castura

46 papers receiving 1.6k citations

Hit Papers

Existing and new approaches for the analysis of CATA data20132026201720212013100200300

Peers

John C. Castura
Comparison fields: 5 of 87
  • Food Science 1.5k
  • Nutrition and Dietetics 898
  • Sensory Systems 455
  • Experimental and Cognitive Psychology 396
  • Animal Science and Zoology 281
Replace Michael Meyners with:
Michael Meyners Germany
Michael O’Mahony United States
Sok L. Chheang New Zealand
Michel Visalli France
Jeannine Delwiche United States
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Michelle K. Beresford New Zealand
Jean A. McEwan United Kingdom
Denise C. Hunter New Zealand
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John C. Castura relative to Michael Meyners Germany Michael Meyners's profile →
Citations per field
00.5×1.5×2.3×
Michael Meyners · 1×
Citations per year

Countries citing papers authored by John C. Castura

Since Specialization
Citations

This map shows the geographic impact of John C. Castura'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. Castura 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. Castura more than expected).

Fields of papers citing papers by John C. Castura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Castura. A scholar is included among the top collaborators of John C. Castura 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. Castura. John C. Castura 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 1
2 1
3 0
4 2
5 9
6 4
7 6
8 5
9 8
10 21
11 15
12 21
13 1
14 48
15 27
16 65
17 3
18 53
19 97
20 4

About John C. Castura

John C. Castura is a scholar working on Tourism, Leisure and Hospitality Management, Food Science and Sensory Systems, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (45 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Meat and Animal Product Quality (9 papers). The work is most often cited by research in Sensory Systems (455 citations), Food Science (1.5k citations) and Tourism, Leisure and Hospitality Management (99 citations). John C. Castura has collaborated with scholars based in Uruguay, Norway and Canada. Frequent co-authors include Michael Meyners, Gastón Ares, B. Thomas Carr, Ana Giménez, Lucía Antúnez, Carolyn F. Ross, Letícia Vidal, Sara R. Jaeger, Florencia Alcaire and Tormod Næs. Their work appears in journals such as Food Research International, Journal of Food Science and Food Quality and Preference.

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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