M. Luisa Demattè
- Sensory Systems top 1%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 5%
- Food Science top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Charles SpenceFlavia GasperiIsabella EndrizziDaniel SanabriaMaria Laura CorollaroFranco BiasioliAlessandro FarnèEugenio Aprea
- Topics
- Olfactory and Sensory Function Studies (11 papers)Sensory Analysis and Statistical Methods (7 papers)Multisensory perception and integration (6 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
M. Luisa Demattè
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Sensory Systems 437
- Experimental and Cognitive Psychology 412
- Social Psychology 312
- Food Science 311
- Cognitive Neuroscience 271
Countries citing papers authored by M. Luisa Demattè
This map shows the geographic impact of M. Luisa Demattè'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 M. Luisa Demattè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Luisa Demattè more than expected).
Fields of papers citing papers by M. Luisa Demattè
This network shows the impact of papers produced by M. Luisa Demattè. 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 M. Luisa Demattè. The network helps show where M. Luisa Demattè may publish in the future.
Co-authorship network of co-authors of M. Luisa Demattè
This figure shows the co-authorship network connecting the top 25 collaborators of M. Luisa Demattè. A scholar is included among the top collaborators of M. Luisa Demattè 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 M. Luisa Demattè. M. Luisa Demattè is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 56 | |
| 4 | 67 | |
| 5 | 53 | |
| 6 | Thinning via shading: the sensory quality of apples grown by a new technique | 1 |
| 7 | 45 | |
| 8 | 125 | |
| 9 | 14 | |
| 10 | 31 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 79 | |
| 14 | 77 | |
| 15 | Crossmodal associations and interactions between olfaction and vision | 1 |
| 16 | 74 | |
| 17 | 22 | |
| 18 | 144 | |
| 19 | 100 | |
| 20 | 33 |
About M. Luisa Demattè
M. Luisa Demattè is a scholar working on Sensory Systems, Experimental and Cognitive Psychology and Food Science, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (11 papers), Sensory Analysis and Statistical Methods (7 papers) and Multisensory perception and integration (6 papers). The work is most often cited by research in Sensory Systems (437 citations), Experimental and Cognitive Psychology (412 citations) and Food Science (311 citations). M. Luisa Demattè has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Charles Spence, Flavia Gasperi, Isabella Endrizzi, Daniel Sanabria, Maria Laura Corollaro, Franco Biasioli, Alessandro Farnè, Eugenio Aprea, Elisabetta Làdavas and Emanuela Betta. Their work appears in journals such as Neurology, Food Research International and Frontiers in Psychology.
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.