Suzanne Pecore

418 total citations
9 papers, 263 citations indexed

About

Suzanne Pecore is a scholar working on Animal Science and Zoology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Suzanne Pecore has authored 9 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Animal Science and Zoology, 4 papers in Food Science and 3 papers in Nutrition and Dietetics. Recurrent topics in Suzanne Pecore's work include Meat and Animal Product Quality (4 papers), Sensory Analysis and Statistical Methods (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Suzanne Pecore is often cited by papers focused on Meat and Animal Product Quality (4 papers), Sensory Analysis and Statistical Methods (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Suzanne Pecore collaborates with scholars based in United States. Suzanne Pecore's co-authors include Michael L. Losee, Susan S. Schiffman, Zoe S. Warwick, Barbara Booth, Zata Vickers, Brevick G. Graham, Elizabeth A. Sattely‐Miller, B. Thomas Carr and Theresa Young and has published in prestigious journals such as Trends in Food Science & Technology, Physiology & Behavior and Food Quality and Preference.

In The Last Decade

Suzanne Pecore

9 papers receiving 253 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suzanne Pecore United States 7 191 120 102 59 34 9 263
Verónica Galindo‐Cuspinera United States 10 221 1.2× 148 1.2× 157 1.5× 125 2.1× 35 1.0× 12 404
Brian Güthrie United States 12 145 0.8× 123 1.0× 57 0.6× 58 1.0× 33 1.0× 21 319
R.M.A.J. Ruijschop Netherlands 11 214 1.1× 152 1.3× 154 1.5× 62 1.1× 11 0.3× 20 391
Amalia Mirtá Calviño Argentina 12 221 1.2× 197 1.6× 174 1.7× 143 2.4× 54 1.6× 31 438
Tiffany M. Nuessle United States 8 201 1.1× 92 0.8× 155 1.5× 91 1.5× 10 0.3× 12 256
Caroline A. Withers United Kingdom 8 151 0.8× 130 1.1× 123 1.2× 42 0.7× 22 0.6× 10 312
Andrew Costanzo Australia 10 323 1.7× 183 1.5× 164 1.6× 98 1.7× 45 1.3× 18 445
Julia Low Australia 12 306 1.6× 235 2.0× 181 1.8× 85 1.4× 38 1.1× 25 488
Heston Blumenthal United Kingdom 4 124 0.6× 144 1.2× 138 1.4× 30 0.5× 29 0.9× 7 352
Rebecca Ford United Kingdom 14 201 1.1× 297 2.5× 131 1.3× 68 1.2× 31 0.9× 29 462

Countries citing papers authored by Suzanne Pecore

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Pecore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Pecore

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

All Works

9 of 9 papers shown
1.
Pecore, Suzanne, et al.. (2014). Ranked-Scaling: A new descriptive panel approach for rating small differences when using anchored intensity scales. Food Quality and Preference. 40. 376–380. 5 indexed citations
2.
Vickers, Zata, et al.. (2008). 7th Pangborn Sensory Science Symposium. Food Quality and Preference. 19(8). 671–671. 46 indexed citations
3.
Young, Theresa, et al.. (2008). Incorporating test and control product variability in degree of difference tests. Food Quality and Preference. 19(8). 734–736. 7 indexed citations
4.
Pecore, Suzanne, et al.. (2006). Degree of difference testing: A new approach incorporating control lot variability. Food Quality and Preference. 17(7-8). 552–555. 8 indexed citations
5.
Pecore, Suzanne, et al.. (2002). A consumer-focused QC/sensory program in the food industry. Food Quality and Preference. 13(6). 369–374. 16 indexed citations
6.
Schiffman, Susan S., Barbara Booth, Michael L. Losee, Suzanne Pecore, & Zoe S. Warwick. (1995). Bitterness of sweeteners as a function of concentration. Brain Research Bulletin. 36(5). 505–513. 143 indexed citations
7.
Schiffman, Susan S., Suzanne Pecore, Barbara Booth, et al.. (1994). Adaptation of sweeteners in water and in tannic acid solutions. Physiology & Behavior. 55(3). 547–559. 25 indexed citations
8.
Pecore, Suzanne. (1993). Guidelines for sensory analysis in food product development and quality control. Trends in Food Science & Technology. 4(6). 200–200. 12 indexed citations
9.
Pecore, Suzanne, et al.. (1993). Issues in measurement of sweetness. Food Quality and Preference. 4(1-2). 82–82. 1 indexed citations

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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