Rubén Budelli

1.6k total citations
50 papers, 1.2k citations indexed

About

Rubén Budelli is a scholar working on Cognitive Neuroscience, Nature and Landscape Conservation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rubén Budelli has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Nature and Landscape Conservation and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rubén Budelli's work include Fish biology, ecology, and behavior (18 papers), Neural dynamics and brain function (17 papers) and Ichthyology and Marine Biology (14 papers). Rubén Budelli is often cited by papers focused on Fish biology, ecology, and behavior (18 papers), Neural dynamics and brain function (17 papers) and Ichthyology and Marine Biology (14 papers). Rubén Budelli collaborates with scholars based in Uruguay, United States and Mexico. Rubén Budelli's co-authors include Ángel A. Caputi, Kirsty Grant, Leonel Gómez‐Sena, O. Macadar, Donald H. Perkel, Brian Mulloney, Gerhard von der Emde, Stephan Schwarz, Curtis C. Bell and Enrique Soto and has published in prestigious journals such as Nature, PLoS ONE and The Journal of Physiology.

In The Last Decade

Rubén Budelli

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén Budelli Uruguay 19 662 359 294 107 101 50 1.2k
O. Macadar Uruguay 20 605 0.9× 225 0.6× 301 1.0× 113 1.1× 121 1.2× 45 1.0k
Masashi Kawasaki United States 19 770 1.2× 262 0.7× 265 0.9× 59 0.6× 268 2.7× 71 1.1k
Emilia Sas Canada 14 857 1.3× 315 0.9× 459 1.6× 103 1.0× 304 3.0× 14 1.3k
Kirsty Grant France 27 1.1k 1.7× 865 2.4× 895 3.0× 113 1.1× 257 2.5× 58 2.3k
Leonel Gómez‐Sena Uruguay 14 328 0.5× 154 0.4× 93 0.3× 40 0.4× 63 0.6× 31 561
Ángel A. Caputi Uruguay 30 1.6k 2.4× 227 0.6× 281 1.0× 273 2.6× 242 2.4× 76 2.0k
Thomas Preuss United States 18 172 0.3× 293 0.8× 354 1.2× 25 0.2× 274 2.7× 34 912
Joseph Bastian United States 40 2.3k 3.5× 1.6k 4.5× 1.3k 4.3× 217 2.0× 579 5.7× 58 3.7k
D.P.M. Northmore United States 19 242 0.4× 383 1.1× 357 1.2× 37 0.3× 74 0.7× 55 931
Jan Benda Germany 22 360 0.5× 1.1k 3.1× 694 2.4× 8 0.1× 95 0.9× 59 1.7k

Countries citing papers authored by Rubén Budelli

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Budelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Budelli

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Budelli. A scholar is included among the top collaborators of Rubén Budelli 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 Rubén Budelli. Rubén Budelli 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
1.
Perrone, Rossana, et al.. (2016). Passive and active electroreception during agonistic encounters in the weakly electric fishGymnotus omarorum. Bioinspiration & Biomimetics. 11(6). 65002–65002. 8 indexed citations
2.
Gómez‐Sena, Leonel, et al.. (2014). Computational modeling of electric imaging in weakly electric fish: Insights for physiology, behavior and evolution. Journal of Physiology-Paris. 108(2-3). 112–128. 9 indexed citations
3.
Aguilera, Pedro A., et al.. (2014). Electric Imaging through Evolution, a Modeling Study of Commonalities and Differences. PLoS Computational Biology. 10(7). e1003722–e1003722. 22 indexed citations
4.
Sanguinetti-Scheck, Juan Ignacio, et al.. (2012). Mind the gap: the minimal detectable separation distance between two objects during active electrolocation. Journal of Fish Biology. 81(7). 2255–2276. 7 indexed citations
5.
Gómez‐Sena, Leonel, et al.. (2011). Endogenous presynaptic nitric oxide supports an anterograde signaling in the central nervous system. Journal of Neurochemistry. 118(4). 546–557. 4 indexed citations
6.
Engelmann, Jacob, Michael G. Metzen, Roland Pusch, et al.. (2008). Electric imaging through active electrolocation: implication for the analysis of complex scenes. Biological Cybernetics. 98(6). 519–539. 36 indexed citations
7.
Curti, Sebastián, Leonel Gómez‐Sena, Rubén Budelli, & Alberto E. Pereda. (2008). Subthreshold Sodium Current Underlies Essential Functional Specializations at Primary Auditory Afferents. Journal of Neurophysiology. 99(4). 1683–1699. 13 indexed citations
8.
Maiche, Alejandro, Rubén Budelli, & Leonel Gómez‐Sena. (2007). Spatial facilitation is involved in flash-lag effect. Vision Research. 47(12). 1655–1661. 7 indexed citations
9.
Budelli, Rubén, et al.. (2005). Contextual dependence of flash-lag illusion magnitude. Perception. 34. 0–0. 1 indexed citations
10.
Caputi, Ángel A., et al.. (2005). Theoretical Analysis of Pre-Receptor Image Conditioning in Weakly Electric Fish. PLoS Computational Biology. 1(2). e16–e16. 40 indexed citations
11.
Gómez‐Sena, Leonel, et al.. (2005). Pooled spike trains of correlated presynaptic inputs as realizations of cluster point processes. Biological Cybernetics. 92(2). 110–127. 6 indexed citations
12.
Gómez‐Sena, Leonel, et al.. (2003). Electric images of two low resistance objects in weakly electric fish. Biosystems. 71(1-2). 169–177. 34 indexed citations
13.
Soto, Enrique, Rosario Vega, & Rubén Budelli. (2002). The receptor potential in type I and type II vestibular system hair cells: a model analysis. Hearing Research. 165(1-2). 35–47. 22 indexed citations
14.
Emde, Gerhard von der, Stephan Schwarz, Leonel Gómez‐Sena, Rubén Budelli, & Kirsty Grant. (1998). Electric fish measure distance in the dark. Nature. 395(6705). 890–894. 139 indexed citations
15.
Gómez‐Sena, Leonel & Rubén Budelli. (1996). Two-neuron networks. Biological Cybernetics. 74(2). 131–137. 4 indexed citations
16.
Caputi, Ángel A. & Rubén Budelli. (1995). The electric image in weakly electric fish: I. A data-based model of waveform generation inGymnotus carapo. Journal of Computational Neuroscience. 2(2). 131–147. 62 indexed citations
17.
Budelli, Rubén, et al.. (1991). Two-neurons network. Biological Cybernetics. 66(2). 95–101. 5 indexed citations
18.
Budelli, Rubén, et al.. (1988). Locking, intermittency, and bifurcations in a periodically driven pacemaker neuron: Poincaré maps and biological implications. Biological Cybernetics. 60(1). 49–58. 7 indexed citations
19.
Budelli, Rubén, et al.. (1986). A spike generator mechanism model simulates utricular afferents response to sinusoidal vibrations. Biological Cybernetics. 54(4-5). 237–244. 8 indexed citations
20.
Budelli, Rubén, et al.. (1979). Effects of ouabain and ethacrynic acid on the resting potentials of neuroepithelial cells in the inner ear. General Pharmacology The Vascular System. 10(4). 335–337. 1 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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