Mara V. Galmarini
- Food Science top 1%
- Nutrition and Dietetics top 5%
- Plant Science top 10%
- Sensory Systems top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Marı́a Clara ZamoraRonan SymoneauxEmira MehinagicMichel VisalliPascal SchlichJorge ChirifeRosa BaezaVirginia Sánchez
- Topics
- Sensory Analysis and Statistical Methods (22 papers)Biochemical Analysis and Sensing Techniques (13 papers)Multisensory perception and integration (8 papers)
In The Last Decade
Mara V. Galmarini
36 papers receiving 934 citations
Peers
Comparison fields: 5 of 107
- Food Science 751
- Nutrition and Dietetics 290
- Plant Science 207
- Sensory Systems 142
- Experimental and Cognitive Psychology 129
Countries citing papers authored by Mara V. Galmarini
This map shows the geographic impact of Mara V. Galmarini'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 Mara V. Galmarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara V. Galmarini more than expected).
Fields of papers citing papers by Mara V. Galmarini
This network shows the impact of papers produced by Mara V. Galmarini. 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 Mara V. Galmarini. The network helps show where Mara V. Galmarini may publish in the future.
Co-authorship network of co-authors of Mara V. Galmarini
This figure shows the co-authorship network connecting the top 25 collaborators of Mara V. Galmarini. A scholar is included among the top collaborators of Mara V. Galmarini 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 Mara V. Galmarini. Mara V. Galmarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | Advances in representation and analysis of mono and multi-intake Temporal Dominance of Sensations data | 0 |
| 14 | 69 | |
| 15 | Turismo rural y desarrollo económico local : el caso del partido de Lobos, provincia de Buenos Aires | 1 |
| 16 | 15 | |
| 17 | 8 | |
| 18 | 50 | |
| 19 | 7 | |
| 20 | 16 |
About Mara V. Galmarini
Mara V. Galmarini is a scholar working on Food Science, Sensory Systems and Tourism, Leisure and Hospitality Management, having authored 38 papers that have together received 958 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (22 papers), Biochemical Analysis and Sensing Techniques (13 papers) and Multisensory perception and integration (8 papers). The work is most often cited by research in Food Science (751 citations), Tourism, Leisure and Hospitality Management (57 citations) and Sensory Systems (142 citations). Mara V. Galmarini has collaborated with scholars based in Argentina, France and Spain. Frequent co-authors include Marı́a Clara Zamora, Ronan Symoneaux, Emira Mehinagic, Michel Visalli, Pascal Schlich, Jorge Chirife, Rosa Baeza, Virginia Sánchez, J. Chirife and María Cristina Goldner. Their work appears in journals such as PLoS ONE, Food Research International and Journal of Food 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.