Núria Tort‐Colet

401 total citations
12 papers, 173 citations indexed

About

Núria Tort‐Colet is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Núria Tort‐Colet has authored 12 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Núria Tort‐Colet's work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (5 papers) and Photoreceptor and optogenetics research (5 papers). Núria Tort‐Colet is often cited by papers focused on Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (5 papers) and Photoreceptor and optogenetics research (5 papers). Núria Tort‐Colet collaborates with scholars based in Spain, France and Italy. Núria Tort‐Colet's co-authors include María V. Sánchez-Vives, Gustavo Deco, Alain Destexhe, Cristiano Capone, Jennifer S. Goldman, Maurizio Mattia, Matteo di Volo, Roberto Monetti, José M. Amigó and Anna Letizia Allegra Mascaro and has published in prestigious journals such as NeuroImage, Scientific Reports and Cerebral Cortex.

In The Last Decade

Núria Tort‐Colet

11 papers receiving 173 citations

Peers

Núria Tort‐Colet
Comparison fields: 5 of 40
  • Cognitive Neuroscience 152
  • Cellular and Molecular Neuroscience 75
  • Radiology, Nuclear Medicine and Imaging 17
  • Statistical and Nonlinear Physics 13
  • Experimental and Cognitive Psychology 10
Replace Wessel Woldman with:
Wessel Woldman United Kingdom
Ehsan Negahbani United States
Marco Fuscà Italy
Radek Janča Czechia
Damien Depannemaecker France
Alessandra Camassa Spain
Luke Tait United Kingdom
Dmitry R. Lyamzin Germany
Agostina Palmigiano Spain
Matthew J. Aburn Australia
Wessel Woldman United Kingdom View profile →
Citations per field, relative to Núria Tort‐Colet
Núria Tort‐Colet · 1×
Citations per year, relative to Núria Tort‐Colet
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Countries citing papers authored by Núria Tort‐Colet

Since Specialization
Citations

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

Fields of papers citing papers by Núria Tort‐Colet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Núria Tort‐Colet. 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 Núria Tort‐Colet. The network helps show where Núria Tort‐Colet may publish in the future.

Co-authorship network of co-authors of Núria Tort‐Colet

This figure shows the co-authorship network connecting the top 25 collaborators of Núria Tort‐Colet. A scholar is included among the top collaborators of Núria Tort‐Colet 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 Núria Tort‐Colet. Núria Tort‐Colet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 4
3 8
4 6
5 1
6 1
7 12
8 20
9 26
10 30
11 54
12 11

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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