Damir D. Torrico

3.4k citations
104 papers · 2.5k indexed · h-index 30
Topics
Sensory Analysis and Statistical Methods (53 papers)Olfactory and Sensory Function Studies (34 papers)Meat and Animal Product Quality (24 papers)

In The Last Decade

Damir D. Torrico

103 papers receiving 2.4k citations

Peers

Damir D. Torrico
Comparison fields: 5 of 141
  • Food Science 1.5k
  • Animal Science and Zoology 553
  • Nutrition and Dietetics 507
  • Biomedical Engineering 490
  • Sensory Systems 436
Replace Claudia Gonzalez Viejo with:
Claudia Gonzalez Viejo Australia
Luisa Torri Italy
Derek V. Byrne Denmark
C.M. Delahunty Ireland
Halliday J.H. MacFie United Kingdom
Ella Pagliarini Italy
Ronan Symoneaux France
Conor M. Delahunty Australia
H.J.H. MacFie United Kingdom
Guillermo Hough Argentina
Damir D. Torrico relative to Claudia Gonzalez Viejo Australia Claudia Gonzalez Viejo's profile →
Citations per field
00.5×7.3×
Claudia Gonzalez Viejo · 1×
Citations per year

Countries citing papers authored by Damir D. Torrico

Since Specialization
Citations

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

Fields of papers citing papers by Damir D. Torrico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damir D. Torrico. 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 Damir D. Torrico. The network helps show where Damir D. Torrico may publish in the future.

Co-authorship network of co-authors of Damir D. Torrico

This figure shows the co-authorship network connecting the top 25 collaborators of Damir D. Torrico. A scholar is included among the top collaborators of Damir D. Torrico 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 Damir D. Torrico. Damir D. Torrico 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 0
2 1
3 3
4 1
5 4
6 3
7 17
8 5
9 45
10 11
11 37
12 12
13 5
14 29
15 30
16 126
17 67
18 35
19 3
20 13

About Damir D. Torrico

Damir D. Torrico is a scholar working on Sensory Systems, Food Science and Animal Science and Zoology, having authored 104 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (53 papers), Olfactory and Sensory Function Studies (34 papers) and Meat and Animal Product Quality (24 papers). The work is most often cited by research in Sensory Systems (436 citations), Food Science (1.5k citations) and Tourism, Leisure and Hospitality Management (99 citations). Damir D. Torrico has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Sigfredo Fuentes, Claudia Gonzalez Viejo, Frank R. Dunshea, Witoon Prinyawiwatkul, Hollis Ashman, Kate Howell, Chetan Sharma, Hong Kyoon No, Robyn D. Warner and Minh Ha. Their work appears in journals such as Food Chemistry, Molecules and Journal of Dairy Science.

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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