María Mora

602 citations
27 papers · 408 · h-index 11

Impact in

Papers in

    • Sensory Analysis and Statistical Methods 19
    • Fermentation and Sensory Analysis 3
    • Culinary Culture and Tourism 3
    • Biochemical Analysis and Sensing Techniques 11

María Mora

25 papers receiving 394 citations

Peers

María Mora
Comparison fields: 5 of 78
  • Tourism, Leisure and Hospitality Management 64
  • Sensory Systems 80
  • Food Science 258
  • Nutrition and Dietetics 101
  • Marketing 48
Replace Émilie Ginon with:
Émilie Ginon France
Carlos Gómez‐Corona Mexico
Géraldine Enderli France
Hollis Ashman Australia
Jacqueline H. Beckley United States
Michel Rogeaux France
Renata Januszewska Belgium
N.J.N. Yau Taiwan
Åsa Öström Sweden
Barbara Vad Andersen Denmark
María Mora relative to Émilie Ginon France Émilie Ginon's profile →
Citations per field
00.5×3.9×
Émilie Ginon · 1×
Citations per year

Countries citing papers authored by María Mora

Since Specialization
Citations

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

Fields of papers citing papers by María Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside María Mora, 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 María Mora Line = papers co-authored together María Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2 201783
3 201632
4 201825
5 202020
6 201919
7 202219
8 202117
9 202015
10 202215
11 201914
12 20226
13 20225
14 20225
15 20235
16 20235
17 20234
18 20214
19 20223
20 20213

About María Mora

María Mora is a scholar working on Food Science, Nutrition and Dietetics, Sensory Systems, Public Health, Environmental and Occupational Health and Tourism, Leisure and Hospitality Management, having authored 27 papers that have together received 408 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (19 papers), Biochemical Analysis and Sensing Techniques (11 papers), Olfactory and Sensory Function Studies (8 papers), Wine Industry and Tourism (6 papers), Organic Food and Agriculture (4 papers), Consumer Attitudes and Food Labeling (4 papers), Fermentation and Sensory Analysis (3 papers) and Culinary Culture and Tourism (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (64 citations), Sensory Systems (80 citations), Food Science (258 citations), Nutrition and Dietetics (101 citations) and Marketing (48 citations). María Mora has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Laura Vázquez‐Araújo, Carolina Chaya, Elena Urdaneta, Amanda Dupas de Matos, Ella Pagliarini, Cesar O. Romero, Virginia Fernández‐Ruiz, Zuzana Palková, Marianne Thomsen and Luis Noguera‐Artiaga. Their work appears in journals such as International Journal of Gastronomy and Food Science, Food Quality and Preference, Journal of Sensory Studies, Foods 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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