Martin R. Yeomans

9.3k total citations
164 papers, 6.7k citations indexed

About

Martin R. Yeomans is a scholar working on Clinical Psychology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Martin R. Yeomans has authored 164 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Clinical Psychology, 71 papers in Nutrition and Dietetics and 69 papers in Food Science. Recurrent topics in Martin R. Yeomans's work include Eating Disorders and Behaviors (77 papers), Biochemical Analysis and Sensing Techniques (71 papers) and Sensory Analysis and Statistical Methods (67 papers). Martin R. Yeomans is often cited by papers focused on Eating Disorders and Behaviors (77 papers), Biochemical Analysis and Sensing Techniques (71 papers) and Sensory Analysis and Statistical Methods (67 papers). Martin R. Yeomans collaborates with scholars based in United Kingdom, Australia and United States. Martin R. Yeomans's co-authors include Richard W. Gray, Lucy Chambers, Sirous Mobini, Keri McCrickerd, Richard J. Stevenson, Anne Lluch, Una Masic, John Prescott, John E. Blundell and Micah Leshem and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Martin R. Yeomans

159 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin R. Yeomans United Kingdom 48 2.6k 2.1k 1.8k 1.6k 1.4k 164 6.7k
Suzanne Higgs United Kingdom 49 1.2k 0.4× 2.8k 1.3× 2.4k 1.3× 722 0.5× 585 0.4× 209 7.9k
Julie A. Mennella United States 60 4.9k 1.9× 972 0.5× 3.5k 1.9× 1.4k 0.9× 2.4k 1.7× 175 10.6k
Dana M. Small United States 50 4.0k 1.5× 2.6k 1.2× 1.1k 0.6× 710 0.4× 3.3k 2.3× 121 10.7k
Richard D. Mattes United States 59 5.7k 2.2× 1.4k 0.7× 4.3k 2.4× 1.5k 0.9× 2.0k 1.4× 251 12.0k
Graham Finlayson United Kingdom 42 936 0.4× 2.7k 1.3× 2.6k 1.4× 678 0.4× 419 0.3× 233 7.0k
Marion M. Hetherington United Kingdom 53 1.6k 0.6× 3.5k 1.7× 4.5k 2.5× 1.1k 0.7× 432 0.3× 206 8.7k
France Bellisle France 57 2.5k 1.0× 2.4k 1.2× 5.7k 3.1× 968 0.6× 522 0.4× 204 10.0k
Paul A.M. Smeets Netherlands 36 1.4k 0.5× 1.3k 0.6× 970 0.5× 744 0.5× 769 0.5× 112 4.3k
Jeffrey M. Brunstrom United Kingdom 40 1.2k 0.4× 2.1k 1.0× 2.2k 1.2× 1.3k 0.8× 645 0.4× 178 5.0k
John M. de Castro United States 49 841 0.3× 2.4k 1.1× 3.0k 1.7× 651 0.4× 283 0.2× 112 6.6k

Countries citing papers authored by Martin R. Yeomans

Since Specialization
Citations

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

Fields of papers citing papers by Martin R. Yeomans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin R. Yeomans. 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 Martin R. Yeomans. The network helps show where Martin R. Yeomans may publish in the future.

Co-authorship network of co-authors of Martin R. Yeomans

This figure shows the co-authorship network connecting the top 25 collaborators of Martin R. Yeomans. A scholar is included among the top collaborators of Martin R. Yeomans 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 Martin R. Yeomans. Martin R. Yeomans 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
1.
Gjoreski, Hristijan, et al.. (2025). Sensing the future of eating behaviour measurement: Validation of OCOsense glasses to detect chewing behaviour. Food Quality and Preference. 137. 105786–105786. 1 indexed citations
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Yeomans, Martin R., et al.. (2024). Sweet-liking and the basic tastes. Appetite. 199. 107434–107434. 1 indexed citations
5.
Thanh, Chi, et al.. (2023). “Sweet: I did it”! Measuring the sense of agency in gustatory interfaces. Frontiers in Computer Science. 5. 1 indexed citations
6.
Yeomans, Martin R., et al.. (2023). Habitual intake of fat and sugar is associated with poorer memory and greater impulsivity in humans. PLoS ONE. 18(8). e0290308–e0290308. 7 indexed citations
7.
Yeomans, Martin R., et al.. (2017). Additive effects of sensory-enhanced satiety and memory for recent eating on appetite. Appetite. 117. 335–341. 8 indexed citations
8.
Yeomans, Martin R.. (2017). Adverse effects of consuming high fat–sugar diets on cognition: implications for understanding obesity. Proceedings of The Nutrition Society. 76(4). 455–465. 75 indexed citations
9.
Masic, Una & Martin R. Yeomans. (2017). Does acute or habitual protein deprivation influence liking for monosodium glutamate?. Physiology & Behavior. 171. 79–86. 12 indexed citations
10.
Yeomans, Martin R. & John Prescott. (2016). Smelling the goodness: Sniffing as a behavioral measure of learned odor hedonics.. Journal of Experimental Psychology Animal Learning and Cognition. 42(4). 391–400. 11 indexed citations
11.
Yeomans, Martin R., Roberta Re, Martin S. J. Wickham, Helge Lundholm, & Lucy Chambers. (2016). Beyond expectations: the physiological basis of sensory enhancement of satiety. International Journal of Obesity. 40(11). 1693–1698. 18 indexed citations
12.
Yeomans, Martin R., Keri McCrickerd, Jeffrey M. Brunstrom, & Lucy Chambers. (2013). Effects of repeated consumption on sensory-enhanced satiety. British Journal Of Nutrition. 111(6). 1137–1144. 39 indexed citations
13.
Masic, Una & Martin R. Yeomans. (2013). Does monosodium glutamate interact with macronutrient composition to influence subsequent appetite?. Physiology & Behavior. 116-117. 23–29. 41 indexed citations
14.
Chambers, Lucy, et al.. (2012). Can the satiating power of a high energy beverage be improved by manipulating sensory characteristics and label information?. Food Quality and Preference. 28(1). 271–278. 34 indexed citations
15.
Chambers, Lucy & Martin R. Yeomans. (2011). Individual differences in satiety response to carbohydrate and fat. Predictions from the Three Factor Eating Questionnaire (TFEQ). Appetite. 56(2). 316–323. 19 indexed citations
16.
Yeomans, Martin R., Sirous Mobini, & Lucy Chambers. (2007). Additive effects of flavour–caffeine and flavour–flavour pairings on liking for the smell and flavour of a novel drink. Physiology & Behavior. 92(5). 831–839. 21 indexed citations
17.
Bertenshaw, Emma J., Anne Lluch, & Martin R. Yeomans. (2007). Satiating effects of protein but not carbohydrate consumed in a between-meal beverage context. Physiology & Behavior. 93(3). 427–436. 103 indexed citations
18.
Yeomans, Martin R.. (2004). Effects of alcohol on food and energy intake in human subjects: evidence for passive and active over-consumption of energy. British Journal Of Nutrition. 92(S1). S31–S34. 76 indexed citations
19.
Yeomans, Martin R., et al.. (1999). Individual Differences in the Use of Pleasantness and Palatability Ratings. Appetite. 32(3). 383–394. 28 indexed citations
20.
Yeomans, Martin R. & Peter Wright. (1991). Lower pleasantness of palatable foods in nalmefene-treated human volunteers. Appetite. 16(3). 249–259. 73 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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