Inés Samengo

811 total citations
42 papers, 460 citations indexed

About

Inés Samengo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Inés Samengo has authored 42 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Inés Samengo's work include Neural dynamics and brain function (26 papers), Neuroscience and Neuropharmacology Research (8 papers) and stochastic dynamics and bifurcation (7 papers). Inés Samengo is often cited by papers focused on Neural dynamics and brain function (26 papers), Neuroscience and Neuropharmacology Research (8 papers) and stochastic dynamics and bifurcation (7 papers). Inés Samengo collaborates with scholars based in Argentina, United Kingdom and Germany. Inés Samengo's co-authors include Tim Gollisch, Andreas V. M. Herz, Marcelo A. Montemurro, Susanne Schreiber, Bjørg Elisabeth Kilavik, Leonardo Chelazzi, Chiara Della Libera, R O Barrachina, Giuseppe Bertini and Giovanni Mirabella and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Inés Samengo

39 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inés Samengo Argentina 13 353 168 84 44 41 42 460
Yoshiki Kashimori Japan 11 203 0.6× 75 0.4× 75 0.9× 60 1.4× 51 1.2× 68 509
Ruben Coen-Cagli United States 13 679 1.9× 236 1.4× 39 0.5× 22 0.5× 54 1.3× 34 762
Jason M. Samonds United States 13 523 1.5× 340 2.0× 31 0.4× 19 0.4× 46 1.1× 28 579
Luca Mazzucato United States 13 288 0.8× 146 0.9× 169 2.0× 14 0.3× 54 1.3× 23 626
Vincent Bringuier France 7 580 1.6× 341 2.0× 32 0.4× 25 0.6× 38 0.9× 7 598
Tobias Wagner Germany 13 610 1.7× 166 1.0× 81 1.0× 64 1.5× 61 1.5× 18 809
Douglas Zhou China 15 344 1.0× 181 1.1× 200 2.4× 21 0.5× 95 2.3× 56 570
Guillermo Solovey Argentina 13 252 0.7× 70 0.4× 53 0.6× 14 0.3× 27 0.7× 27 492
Tobe Freeman Switzerland 7 650 1.8× 309 1.8× 41 0.5× 66 1.5× 80 2.0× 12 735
Ross Snider United States 7 450 1.3× 208 1.2× 36 0.4× 13 0.3× 42 1.0× 17 564

Countries citing papers authored by Inés Samengo

Since Specialization
Citations

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

Fields of papers citing papers by Inés Samengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inés Samengo

This figure shows the co-authorship network connecting the top 25 collaborators of Inés Samengo. A scholar is included among the top collaborators of Inés Samengo 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 Inés Samengo. Inés Samengo 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.
Risau-Gusman, Sebastián, et al.. (2025). Expansion of marginal correlations in terms of partial correlations. Physical review. E. 111(1). 14127–14127.
2.
Alba‐Ferrara, Lucía, et al.. (2024). Hemispheric asymmetries in cortical grey matter of gyri and sulci in modern human populations from South America. Journal of Anatomy. 244(5). 815–830. 1 indexed citations
3.
Echeveste, Rodrigo, Enzo Ferrante, Diego H. Milone, & Inés Samengo. (2021). Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference. Network Neuroscience. 6(1). 196–212. 1 indexed citations
4.
Kropff, Emilio, et al.. (2016). Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms. Frontiers in Computational Neuroscience. 10. 133–133. 12 indexed citations
5.
Zanette, Damián H., et al.. (2015). Information-theoretical analysis of the statistical dependencies among three variables: Applications to written language. Physical Review E. 92(2). 22813–22813. 3 indexed citations
6.
Samengo, Inés, et al.. (2013). Spike-Train Analysis. Open Research Online (The Open University). 75–96. 2 indexed citations
7.
Samengo, Inés, et al.. (2013). Linking dynamical and functional properties of intrinsically bursting neurons. Journal of Computational Neuroscience. 35(2). 213–230. 10 indexed citations
8.
Samengo, Inés & Tim Gollisch. (2012). Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli. Journal of Computational Neuroscience. 34(1). 137–161. 32 indexed citations
9.
Samengo, Inés & Marcelo A. Montemurro. (2010). Conversion of Phase Information into a Spike-Count Code by Bursting Neurons. PLoS ONE. 5(3). e9669–e9669. 18 indexed citations
10.
Samengo, Inés, et al.. (2010). Time and Category Information in Pattern-Based Codes. Frontiers in Computational Neuroscience. 4. 145–145. 5 indexed citations
11.
Samengo, Inés, et al.. (2009). The firing statistics of Poisson neuron models driven by slow stimuli. Biological Cybernetics. 101(4). 265–277. 2 indexed citations
12.
Samengo, Inés, et al.. (2009). Quasistatic approximation of the interspike interval distribution of neurons driven by time-dependent inputs. Physical Review E. 80(1). 11915–11915. 4 indexed citations
13.
Samengo, Inés, et al.. (2009). The information transmitted by spike patterns in single neurons. Journal of Physiology-Paris. 104(3-4). 147–155. 5 indexed citations
14.
Mirabella, Giovanni, Giuseppe Bertini, Inés Samengo, et al.. (2007). Neurons in Area V4 of the Macaque Translate Attended Visual Features into Behaviorally Relevant Categories. Neuron. 54(2). 303–318. 86 indexed citations
15.
Trevisan, Marcos A., Sebastián Bouzat, Inés Samengo, & Gabriel B. Mindlin. (2005). Dynamics of learning in coupled oscillators tutored with delayed reinforcements. Physical Review E. 72(1). 11907–11907. 12 indexed citations
16.
Rokem, Ariel, Sebastian Watzl, Tim Gollisch, et al.. (2005). Spike-Timing Precision Underlies the Coding Efficiency of Auditory Receptor Neurons. Journal of Neurophysiology. 95(4). 2541–2552. 62 indexed citations
17.
Samengo, Inés. (2002). Estimating probabilities from experimental frequencies. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46124–46124. 14 indexed citations
18.
Samengo, Inés, et al.. (1999). Classical stationary particle distributions in collision processes. Journal of Physics B Atomic Molecular and Optical Physics. 32(8). 1971–1986. 5 indexed citations
19.
Samengo, Inés. (1998). Semiclassical limit of the scattering Coulomb wave function. Physical Review A. 58(6). 5001–5003. 1 indexed citations
20.
Samengo, Inés. (1998). Classical momentum distributions of Rydberg states. Physical Review A. 58(4). 2767–2776. 9 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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