Leandro Machín

2.3k citations
55 papers · 1.7k · h-index 22

Impact in

Papers in

Leandro Machín

51 papers receiving 1.6k citations

Peers

Leandro Machín
Comparison fields: 5 of 97
  • Marketing 466
  • Public Health, Environmental and Occupational Health 1.1k
  • Food Science 463
  • Applied Psychology 80
  • Sensory Systems 77
Replace Svetlana Bialkova with:
Svetlana Bialkova Netherlands
María Rosa Curutchet Uruguay
Catherine G. Russell Australia
Wilma Waterlander Netherlands
Dan J. Graham United States
Rick Bell United States
Charlene Elliott Canada
Valérie L. Almli Norway
Lynn Stockley United Kingdom
Margaret Jastran United States
Leandro Machín relative to Svetlana Bialkova Netherlands Svetlana Bialkova's profile →
Citations per field
00.5×2.9×
Svetlana Bialkova · 1×
Citations per year

Countries citing papers authored by Leandro Machín

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Machín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Leandro Machín, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leandro Machín Line = papers co-authored together Leandro Machín links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017143
2 2018106
3 2018102
4 2017101
5 201599
6 202083
7 201782
8 201575
9 201762
10 201659
11 201855
12 201450
13 202047
14 201946
15 201842
16 201642
17 201940
18 201738
19 201735
20 201833

About Leandro Machín

Leandro Machín is a scholar working on Public Health, Environmental and Occupational Health, Food Science, Marketing, General Health Professions and Nutrition and Dietetics, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Consumer Attitudes and Food Labeling (33 papers), Obesity, Physical Activity, Diet (14 papers), Sensory Analysis and Statistical Methods (10 papers), Consumer Packaging Perceptions and Trends (7 papers), Food Security and Health in Diverse Populations (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Behavioral Health and Interventions (3 papers) and Food Waste Reduction and Sustainability (3 papers). The work is most often cited by research in Marketing (466 citations), Public Health, Environmental and Occupational Health (1.1k citations), Food Science (463 citations), Applied Psychology (80 citations) and Sensory Systems (77 citations). Leandro Machín has collaborated with scholars based in Uruguay, Denmark and Norway. Frequent co-authors include Gastón Ares, María Rosa Curutchet, Ana Giménez, Lucía Antúnez, Jessica Aschemann‐Witzel, Letícia Vidal, Joseline Martínez, Sara R. Jaeger, Florencia Alcaire and Tobias Otterbring. Their work appears in journals such as Food Quality and Preference, Journal of Nutrition Education and Behavior, Public Health Nutrition, Appetite and Food Research International.

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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