Marcelo S. Caetano

730 citations
26 papers · 356 indexed · h-index 9
Topics
Neural dynamics and brain function (18 papers)Neuroscience and Music Perception (14 papers)Memory and Neural Mechanisms (7 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaNeuroImage

In The Last Decade

Marcelo S. Caetano

23 papers receiving 346 citations

Peers

Marcelo S. Caetano
Comparison fields: 5 of 59
  • Cognitive Neuroscience 277
  • Cellular and Molecular Neuroscience 119
  • Experimental and Cognitive Psychology 36
  • Neurology 35
  • Molecular Biology 31
Replace Sabrina Ravel with:
Sabrina Ravel France
Dan Lopez‐Paniagua United States
Masashi Koizumi Japan
Rachael K. Blackman United States
Elijah A. Petter United States
G. Bezzina United Kingdom
Elise Demeter United States
Jennifer C. Frascino United States
Takemasa Satoh Japan
Georgios Papageorgiou United States
Marcelo S. Caetano relative to Sabrina Ravel France Sabrina Ravel's profile →
Citations per field
00.5×1.5×2.4×
Sabrina Ravel · 1×
Citations per year

Countries citing papers authored by Marcelo S. Caetano

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo S. Caetano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo S. Caetano. 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 Marcelo S. Caetano. The network helps show where Marcelo S. Caetano may publish in the future.

Co-authorship network of co-authors of Marcelo S. Caetano

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo S. Caetano. A scholar is included among the top collaborators of Marcelo S. Caetano 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 Marcelo S. Caetano. Marcelo S. Caetano 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
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 4
6 3
7 1
8 5
9 1
10 11
11 7
12 29
13 59
14 80
15 29
16 27
17 7
18 45
19 6
20 8

About Marcelo S. Caetano

Marcelo S. Caetano is a scholar working on Cognitive Neuroscience, Statistics and Probability and General Decision Sciences, having authored 26 papers that have together received 356 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Neuroscience and Music Perception (14 papers) and Memory and Neural Mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (277 citations), Cellular and Molecular Neuroscience (119 citations) and General Decision Sciences (7 citations). Marcelo S. Caetano has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Mark Laubach, Nandakumar S. Narayanan, K L Parker, Nicole K. Horst, Russell M. Church, Linda M. Amarante, Amy F.T. Arnsten, Nathaniel J. Smith, André M. Cravo and Peter Claessens. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

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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