David Angulo‐García

467 total citations
24 papers, 220 citations indexed

About

David Angulo‐García is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Angulo‐García has authored 24 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 9 papers in Electrical and Electronic Engineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Angulo‐García's work include Neural dynamics and brain function (12 papers), Advanced DC-DC Converters (8 papers) and Microgrid Control and Optimization (7 papers). David Angulo‐García is often cited by papers focused on Neural dynamics and brain function (12 papers), Advanced DC-DC Converters (8 papers) and Microgrid Control and Optimization (7 papers). David Angulo‐García collaborates with scholars based in Colombia, Italy and France. David Angulo‐García's co-authors include Alessandro Torcini, Simona Olmi, Fabiola Angulo, Stefano Luccioli, Rosa Cossart, Gerard Olivar, Joshua D. Berke, Arnaud Malvache, Agnès Baude and Thomas Tressard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

David Angulo‐García

23 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Angulo‐García Colombia 10 143 76 62 57 35 24 220
Katsumi Tateno Japan 10 209 1.5× 63 0.8× 58 0.9× 40 0.7× 41 1.2× 30 473
Milad Lankarany Canada 11 173 1.2× 143 1.9× 33 0.5× 61 1.1× 4 0.1× 43 310
Najja J. Marshall United States 4 295 2.1× 89 1.2× 40 0.6× 33 0.6× 8 0.2× 5 344
Sergey V. Stasenko Russia 11 191 1.3× 165 2.2× 66 1.1× 77 1.4× 35 1.0× 36 287
Xuying Xu China 12 183 1.3× 125 1.6× 70 1.1× 26 0.5× 41 1.2× 33 289
Pablo Achard Belgium 5 254 1.8× 188 2.5× 75 1.2× 83 1.5× 13 0.4× 7 352
Richard Gast Germany 9 161 1.1× 61 0.8× 43 0.7× 26 0.5× 55 1.6× 13 241
Cheng Ly United States 12 297 2.1× 145 1.9× 193 3.1× 68 1.2× 98 2.8× 33 399
Naoyuki Sato Japan 10 273 1.9× 160 2.1× 9 0.1× 25 0.4× 12 0.3× 28 299
Michael E. Rule United Kingdom 9 307 2.1× 179 2.4× 17 0.3× 49 0.9× 14 0.4× 17 356

Countries citing papers authored by David Angulo‐García

Since Specialization
Citations

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

Fields of papers citing papers by David Angulo‐García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Angulo‐García. 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 David Angulo‐García. The network helps show where David Angulo‐García may publish in the future.

Co-authorship network of co-authors of David Angulo‐García

This figure shows the co-authorship network connecting the top 25 collaborators of David Angulo‐García. A scholar is included among the top collaborators of David Angulo‐García 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 David Angulo‐García. David Angulo‐García 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.
Angulo‐García, David, et al.. (2023). Population spiking and bursting in next-generation neural masses with spike-frequency adaptation. Physical review. E. 107(2). 24311–24311. 17 indexed citations
2.
Mòdol, Laura, Thomas Tressard, Sophie Brustlein, et al.. (2023). Prominent in vivo influence of single interneurons in the developing barrel cortex. Nature Neuroscience. 26(9). 1555–1565. 14 indexed citations
3.
Angulo‐García, David, et al.. (2023). Boost‐flyback converter: Experimental assessment of recent control techniques. International Journal of Circuit Theory and Applications. 52(5). 2249–2265. 1 indexed citations
4.
Angulo‐García, David, et al.. (2021). Understanding Traffic Congestion via Network Analysis, Agent Modeling, and the Trajectory of Urban Expansion: A Coastal City Case. Infrastructures. 6(6). 85–85. 10 indexed citations
5.
Angulo‐García, David, et al.. (2021). DC-DC Zeta Power Converter: Ramp Compensation Control Design and Stability Analysis. Applied Sciences. 11(13). 5946–5946. 9 indexed citations
6.
Angulo‐García, David, et al.. (2020). Cell Assemblies in the Cortico-Hippocampal-Reuniens Network during Slow Oscillations. Journal of Neuroscience. 40(43). 8343–8354. 16 indexed citations
7.
Bocchio, Marco, et al.. (2020). Hippocampal hub neurons maintain distinct connectivity throughout their lifetime. Nature Communications. 11(1). 4559–4559. 24 indexed citations
8.
Angulo, Fabiola, et al.. (2020). Zero Average Surface Controlled Boost-Flyback Converter. Energies. 14(1). 57–57. 4 indexed citations
9.
Angulo‐García, David, Vincent Villette, Susanne Reichinnek, et al.. (2019). Internal representation of hippocampal neuronal population spans a time-distance continuum. Proceedings of the National Academy of Sciences. 116(15). 7477–7482. 17 indexed citations
10.
Luccioli, Stefano, David Angulo‐García, & Alessandro Torcini. (2019). Neural activity of heterogeneous inhibitory spiking networks with delay. Physical review. E. 99(5). 52412–52412. 5 indexed citations
11.
Angulo, Fabiola, et al.. (2019). Hybrid Control Design of a DC/DC Buck Power Converter. 1–6. 1 indexed citations
12.
Luccioli, Stefano, David Angulo‐García, Rosa Cossart, et al.. (2018). Modeling driver cells in developing neuronal networks. PLoS Computational Biology. 14(11). e1006551–e1006551. 9 indexed citations
13.
Angulo‐García, David, et al.. (2018). Control of a DC-DC Buck Converter through Contraction Techniques. Energies. 11(11). 3086–3086. 15 indexed citations
14.
Olmi, Simona, David Angulo‐García, Alberto Imparato, & Alessandro Torcini. (2017). Exact firing time statistics of neurons driven by discrete inhibitory noise. Scientific Reports. 7(1). 1577–1577. 12 indexed citations
15.
Angulo‐García, David, Joshua D. Berke, & Alessandro Torcini. (2016). Cell Assembly Dynamics of Sparsely-Connected Inhibitory Networks: A Simple Model for the Collective Activity of Striatal Projection Neurons. PLoS Computational Biology. 12(2). e1004778–e1004778. 16 indexed citations
16.
Angulo‐García, David & Alessandro Torcini. (2015). Stochastic mean-field formulation of the dynamics of diluted neural networks. Physical Review E. 91(2). 22928–22928. 4 indexed citations
17.
Angulo‐García, David & Alessandro Torcini. (2015). Stochastic mean-field formulation of the dynamics of diluted neural networks. BMC Neuroscience. 16(S1). 1 indexed citations
18.
Angulo‐García, David, Fabiola Angulo, & Gerard Olivar. (2014). Dynamics and Forecast in a Simple Model of Sustainable Development for Rural Populations. Bulletin of Mathematical Biology. 77(2). 368–389. 2 indexed citations
19.
Angulo‐García, David & Alessandro Torcini. (2014). Stable chaos in fluctuation driven neural circuits. Chaos Solitons & Fractals. 69. 233–245. 6 indexed citations
20.
Angulo‐García, David, et al.. (2012). Structural Stability of the Two-Fold Singularity. SIAM Journal on Applied Dynamical Systems. 11(4). 1215–1230. 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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