Verónica Nácher

1.7k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Verónica Nácher is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Verónica Nácher has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Verónica Nácher's work include Neural dynamics and brain function (15 papers), Visual perception and processing mechanisms (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Verónica Nácher is often cited by papers focused on Neural dynamics and brain function (15 papers), Visual perception and processing mechanisms (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Verónica Nácher collaborates with scholars based in Mexico, Spain and Netherlands. Verónica Nácher's co-authors include Ranulfo Romo, Rogelio Luna, Saskia Haegens, Ole Jensen, Adrián Hernández, Luis Lemus, Antonio Zainos, Gustavo Deco, Anders Ledberg and M. Álvarez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Verónica Nácher

15 papers receiving 1.2k citations

Hit Papers

α-Oscillations in the monkey sensorimotor network influen... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Verónica Nácher Mexico 11 1.1k 250 85 62 52 15 1.2k
Stan van Pelt Netherlands 15 1.1k 1.0× 229 0.9× 76 0.9× 51 0.8× 97 1.9× 18 1.2k
Eelke Spaak Netherlands 13 1.1k 1.0× 216 0.9× 105 1.2× 29 0.5× 45 0.9× 26 1.2k
Hagar Gelbard-Sagiv Israel 10 1.4k 1.3× 436 1.7× 95 1.1× 47 0.8× 63 1.2× 12 1.5k
Anil Bollimunta United States 12 986 0.9× 264 1.1× 55 0.6× 31 0.5× 40 0.8× 12 1.1k
Simo Monto Finland 11 1.4k 1.2× 176 0.7× 131 1.5× 46 0.7× 35 0.7× 15 1.5k
S. Karakaş Türkiye 7 893 0.8× 180 0.7× 90 1.1× 26 0.4× 55 1.1× 19 991
Dominique L. Pritchett United States 12 899 0.8× 361 1.4× 70 0.8× 80 1.3× 67 1.3× 19 1.0k
Marianna Yanike United States 10 724 0.7× 364 1.5× 40 0.5× 60 1.0× 32 0.6× 11 830
Timo van Kerkoerle France 10 1.0k 0.9× 305 1.2× 71 0.8× 21 0.3× 34 0.7× 15 1.1k
Lorenzo Fontolan United States 8 860 0.8× 243 1.0× 87 1.0× 22 0.4× 35 0.7× 12 944

Countries citing papers authored by Verónica Nácher

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Nácher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verónica Nácher

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

All Works

15 of 15 papers shown
1.
Nácher, Verónica, Seyed A. Hassani, & Thilo Womelsdorf. (2018). Asymmetric effective connectivity between primate anterior cingulate and lateral prefrontal cortex revealed by electrical microstimulation. Brain Structure and Function. 224(2). 779–793. 6 indexed citations
2.
Campo, Adrià Tauste, et al.. (2015). Task-driven intra- and interarea communications in primate cerebral cortex. Proceedings of the National Academy of Sciences. 112(15). 4761–4766. 22 indexed citations
3.
Campo, Adrià Tauste, et al.. (2014). Causal correlation paths across cortical areas in decision making. BMC Neuroscience. 15(S1). 3 indexed citations
4.
Nácher, Verónica, Anders Ledberg, Gustavo Deco, & Ranulfo Romo. (2013). Coherent delta-band oscillations between cortical areas correlate with decision making. Proceedings of the National Academy of Sciences. 110(37). 15085–15090. 118 indexed citations
5.
Ponce‐Alvarez, Adrián, Verónica Nácher, Rogelio Luna, Alexa Riehle, & Ranulfo Romo. (2012). Dynamics of Cortical Neuronal Ensembles Transit from Decision Making to Storage for Later Report. Journal of Neuroscience. 32(35). 11956–11969. 33 indexed citations
6.
Luna, Rogelio, et al.. (2012). Coding perceptual discrimination in the somatosensory thalamus. Proceedings of the National Academy of Sciences. 109(51). 21093–21098. 21 indexed citations
7.
Haegens, Saskia, Verónica Nácher, Adrián Hernández, et al.. (2011). Beta oscillations in the monkey sensorimotor network reflect somatosensory decision making. Proceedings of the National Academy of Sciences. 108(26). 10708–10713. 123 indexed citations
8.
Haegens, Saskia, Verónica Nácher, Rogelio Luna, Ranulfo Romo, & Ole Jensen. (2011). α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking. Proceedings of the National Academy of Sciences. 108(48). 19377–19382. 532 indexed citations breakdown →
9.
Hernández, Adrián, Verónica Nácher, Rogelio Luna, et al.. (2010). Decoding a Perceptual Decision Process across Cortex. Neuron. 66(2). 300–314. 208 indexed citations
10.
Hernández, Adrián, Verónica Nácher, Rogelio Luna, et al.. (2008). Procedure for recording the simultaneous activity of single neurons distributed across cortical areas during sensory discrimination. Proceedings of the National Academy of Sciences. 105(43). 16785–16790. 19 indexed citations
11.
Lemus, Luis, Adrián Hernández, Rogelio Luna, et al.. (2007). Neural correlates of a postponed decision report. Proceedings of the National Academy of Sciences. 104(43). 17174–17179. 52 indexed citations
12.
Nácher, Verónica, et al.. (2006). Neural correlates of memory retrieval in the prefrontal cortex. European Journal of Neuroscience. 24(3). 925–936. 18 indexed citations
13.
Cadarso-Suárez, Carmén, Javier Roca‐Pardiñas, Geert Molenberghs, et al.. (2006). Flexible Modelling of Neuron Firing Rates Across Different Experimental Conditions: An Application to Neural Activity in the Prefrontal Cortex During a Discrimination Task. Journal of the Royal Statistical Society Series C (Applied Statistics). 55(4). 431–447. 6 indexed citations
14.
Romo, Ranulfo, Adrián Hernández, Antonio Zainos, et al.. (2006). Decoding the Temporal Evolution of a Simple Perceptual Act. Novartis Foundation symposium. 270. 170–190. 7 indexed citations
15.
Roca‐Pardiñas, Javier, Carmén Cadarso-Suárez, Verónica Nácher, & Carlos Acuña. (2005). Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: assessing prefrontal cortex neural activity related to decision-making. Statistics in Medicine. 25(14). 2483–2501. 14 indexed citations

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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