Zuzanna Piwkowska

829 total citations
17 papers, 492 citations indexed

About

Zuzanna Piwkowska is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Zuzanna Piwkowska has authored 17 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Zuzanna Piwkowska's work include Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (8 papers) and Neuroscience and Neural Engineering (8 papers). Zuzanna Piwkowska is often cited by papers focused on Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (8 papers) and Neuroscience and Neural Engineering (8 papers). Zuzanna Piwkowska collaborates with scholars based in France, Germany and Switzerland. Zuzanna Piwkowska's co-authors include Thierry Bal, Alain Destexhe, Martin Pospischil, Cyril Monier, Yves Frégnac, Henry Markram, Maria Toledo‐Rodriguez, Michael Rudolph, Mathilde Badoual and Sebastián Ceballo and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neurophysiology.

In The Last Decade

Zuzanna Piwkowska

17 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuzanna Piwkowska France 10 425 327 143 111 36 17 492
Martin Pospischil France 7 418 1.0× 331 1.0× 109 0.8× 112 1.0× 34 0.9× 9 484
Hideyuki Câteau Japan 9 393 0.9× 326 1.0× 100 0.7× 141 1.3× 76 2.1× 21 486
Tobias C. Potjans Japan 8 651 1.5× 404 1.2× 66 0.5× 261 2.4× 38 1.1× 15 781
Katsunori Kitano Japan 14 364 0.9× 272 0.8× 83 0.6× 123 1.1× 77 2.1× 33 546
Öjvind Bernander United States 5 542 1.3× 448 1.4× 113 0.8× 104 0.9× 63 1.8× 7 598
Espen Hagen Norway 13 601 1.4× 439 1.3× 28 0.2× 151 1.4× 37 1.0× 28 685
Jonathan Platkiewicz France 6 244 0.6× 169 0.5× 58 0.4× 83 0.7× 35 1.0× 7 320
Samuel P. Burns United States 8 561 1.3× 277 0.8× 48 0.3× 30 0.3× 25 0.7× 11 622
Sami El‐Boustani France 13 624 1.5× 412 1.3× 138 1.0× 112 1.0× 81 2.3× 19 736
Gabriel Koch Ocker United States 9 389 0.9× 243 0.7× 80 0.6× 99 0.9× 40 1.1× 16 434

Countries citing papers authored by Zuzanna Piwkowska

Since Specialization
Citations

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

Fields of papers citing papers by Zuzanna Piwkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuzanna Piwkowska

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

All Works

17 of 17 papers shown
1.
Ceballo, Sebastián, Alexandre Kempf, Zuzanna Piwkowska, et al.. (2019). Cortical recruitment determines learning dynamics and strategy. Nature Communications. 10(1). 1479–1479. 10 indexed citations
2.
Ceballo, Sebastián, et al.. (2019). Targeted Cortical Manipulation of Auditory Perception. Neuron. 104(6). 1168–1179.e5. 51 indexed citations
3.
Ceballo, Sebastián, et al.. (2019). Targeted Cortical Manipulation of Auditory Perception. SSRN Electronic Journal. 1 indexed citations
4.
Ceballo, Sebastián, Alexandre Kempf, Zuzanna Piwkowska, et al.. (2018). Cortical Recruitment Determines Learning Dynamics and Strategy. SSRN Electronic Journal. 1 indexed citations
5.
Pospischil, Martin, Zuzanna Piwkowska, Thierry Bal, & Alain Destexhe. (2011). Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro. Biological Cybernetics. 105(2). 167–180. 14 indexed citations
6.
Pospischil, Martin, Zuzanna Piwkowska, Thierry Bal, & Alain Destexhe. (2009). Characterizing neuronal activity by describing the membrane potential as a stochastic process. Journal of Physiology-Paris. 103(1-2). 98–106. 6 indexed citations
7.
Pospischil, Martin, Zuzanna Piwkowska, Thierry Bal, & Alain Destexhe. (2008). Extracting synaptic conductances from single membrane potential traces. Neuroscience. 158(2). 545–552. 15 indexed citations
8.
Pospischil, Martin, Maria Toledo‐Rodriguez, Cyril Monier, et al.. (2008). Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons. Biological Cybernetics. 99(4-5). 427–441. 194 indexed citations
9.
Brette, Romain, Zuzanna Piwkowska, Cyril Monier, et al.. (2008). High-Resolution Intracellular Recordings Using a Real-Time Computational Model of the Electrode. Neuron. 59(3). 379–391. 44 indexed citations
10.
Piwkowska, Zuzanna, Martin Pospischil, Romain Brette, et al.. (2007). Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation. Journal of Neuroscience Methods. 169(2). 302–322. 26 indexed citations
11.
Pospischil, Martin, Zuzanna Piwkowska, Michelle Rudolph, Thierry Bal, & Alain Destexhe. (2006). Calculating Event-Triggered Average Synaptic Conductances From the Membrane Potential. Journal of Neurophysiology. 97(3). 2544–2552. 19 indexed citations
12.
Pospischil, Martin, Zuzanna Piwkowska, Michelle Rudolph, Thierry Bal, & Alain Destexhe. (2006). Inhibitory conductance dynamics in cortical neurons during activated states. Neurocomputing. 70(10-12). 1602–1604. 1 indexed citations
13.
Brette, Romain, Zuzanna Piwkowska, Michael Rudolph, Thierry Bal, & Alain Destexhe. (2006). A non-parametric electrode model for intracellular recording. Neurocomputing. 70(10-12). 1597–1601. 12 indexed citations
14.
Badoual, Mathilde, Michael Rudolph, Zuzanna Piwkowska, Alain Destexhe, & Thierry Bal. (2005). High discharge variability in neurons driven by current noise. Neurocomputing. 65-66. 493–498. 9 indexed citations
15.
Destexhe, Alain, Mathilde Badoual, Zuzanna Piwkowska, Thierry Bal, & Michael Rudolph. (2004). A novel method for characterizing synaptic noise in cortical neurons. Neurocomputing. 58-60. 191–196. 8 indexed citations
16.
Rudolph, Michael, Zuzanna Piwkowska, Mathilde Badoual, Thierry Bal, & Alain Destexhe. (2004). A Method to Estimate Synaptic Conductances From Membrane Potential Fluctuations. Journal of Neurophysiology. 91(6). 2884–2896. 77 indexed citations
17.
Piwkowska, Zuzanna, Michael Rudolph, Mathilde Badoual, Alain Destexhe, & Thierry Bal. (2004). Re-creating active states in vitro with a dynamic-clamp protocol. Neurocomputing. 65-66. 55–60. 4 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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