Pietro Berkes

2.8k total citations
19 papers, 1.6k citations indexed

About

Pietro Berkes is a scholar working on Cognitive Neuroscience, Biophysics and Signal Processing. According to data from OpenAlex, Pietro Berkes has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 5 papers in Biophysics and 4 papers in Signal Processing. Recurrent topics in Pietro Berkes's work include Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (8 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Pietro Berkes is often cited by papers focused on Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (8 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Pietro Berkes collaborates with scholars based in United States, Germany and United Kingdom. Pietro Berkes's co-authors include József Fiser, Gergő Orbán, Máté Lengyel, Laurenz Wiskott, Ralf M. Haefner, Richard E. Turner, Maneesh Sahani, Frank Wood, Henning Sprekeler and Jonathan W. Pillow and has published in prestigious journals such as Science, Neuron and Trends in Cognitive Sciences.

In The Last Decade

Pietro Berkes

19 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pietro Berkes United States	12	1.2k	295	286	177	143	19	1.6k
Nikolaos Laskaris Greece	25	1.3k 1.1×	169 0.6×	154 0.5×	89 0.5×	162 1.1×	108	1.8k
Ben D. B. Willmore United Kingdom	21	1.2k 1.0×	126 0.4×	390 1.4×	93 0.5×	150 1.0×	34	1.5k
Odelia Schwartz United States	18	1.8k 1.4×	171 0.6×	571 2.0×	136 0.8×	161 1.1×	40	2.1k
Gergő Orbán Hungary	13	1.3k 1.1×	249 0.8×	377 1.3×	147 0.8×	46 0.3×	33	1.6k
Péter Földiák United Kingdom	15	1.5k 1.2×	661 2.2×	344 1.2×	220 1.2×	249 1.7×	28	2.1k
Jeff Hawkins United States	13	742 0.6×	633 2.1×	161 0.6×	322 1.8×	115 0.8×	19	1.6k
Günther Palm Germany	23	1.0k 0.8×	675 2.3×	384 1.3×	256 1.4×	203 1.4×	113	2.1k
Joseph T. Francis United States	21	1.4k 1.1×	202 0.7×	623 2.2×	198 1.1×	90 0.6×	79	2.0k
Michael Spratling United Kingdom	23	1.7k 1.4×	294 1.0×	311 1.1×	128 0.7×	104 0.7×	72	2.5k
Christoph von der Malsburg Germany	23	1.3k 1.0×	530 1.8×	345 1.2×	160 0.9×	148 1.0×	70	2.2k

Countries citing papers authored by Pietro Berkes

Since Specialization

Citations

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

Fields of papers citing papers by Pietro Berkes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Berkes

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

All Works

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19 of 19 papers shown

Berkes, Pietro, et al.. (2017). Discovering Customer Journey Maps using a Mixture of Markov Models.. 3–7. 2 indexed citations

Orbán, Gergő, Pietro Berkes, József Fiser, & Máté Lengyel. (2016). Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex. Neuron. 92(2). 530–543. 141 indexed citations

Haefner, Ralf M., Pietro Berkes, & József Fiser. (2016). Perceptual Decision-Making as Probabilistic Inference by Neural Sampling. Neuron. 90(3). 649–660. 118 indexed citations

Fiser, József, et al.. (2013). Experience-based development of internal probabilistic representations in the primary visual cortex. Journal of Vision. 13(9). 600–600. 1 indexed citations

Fiser, József, Pietro Berkes, Gergő Orbán, & Máté Lengyel. (2011). Probabilistic computation: A possible functional role for spontaneous activity in the cortex. Cambridge University Engineering Department Publications Database. 2 indexed citations

Berkes, Pietro, et al.. (2011). Select and Sample - A Model of Efficient Neural Inference and Learning. Neural Information Processing Systems. 24. 2618–2626. 11 indexed citations

Berkes, Pietro, Gergő Orbán, Máté Lengyel, & József Fiser. (2011). Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment. Science. 331(6013). 83–87. 475 indexed citations

Zito, Tiziano, et al.. (2011). Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing. Journal of Computational Science. 4(5). 345–351. 3 indexed citations

Wiskott, Laurenz, et al.. (2011). Slow feature analysis. Scholarpedia. 6(4). 5282–5282. 40 indexed citations

10.

Fiser, József, Pietro Berkes, Gergő Orbán, & Máté Lengyel. (2010). Statistically optimal perception and learning: from behavior to neural representations. Trends in Cognitive Sciences. 14(3). 119–130. 444 indexed citations

11.

Berkes, Pietro, Benjamen White, & József Fiser. (2009). No evidence for active sparsification in the visual cortex. Neural Information Processing Systems. 22. 108–116. 18 indexed citations

12.

Berkes, Pietro, Richard E. Turner, & Maneesh Sahani. (2009). A Structured Model of Video Reproduces Primary Visual Cortical Organisation. PLoS Computational Biology. 5(9). e1000495–e1000495. 29 indexed citations

13.

Berkes, Pietro, Frank Wood, & Jonathan W. Pillow. (2008). Characterizing neural dependencies with copula models. Neural Information Processing Systems. 21. 129–136. 25 indexed citations

14.

Berkes, Pietro & Laurenz Wiskott. (2007). Analysis and interpretation of quadratic models of receptive fields. Nature Protocols. 2(2). 400–407. 5 indexed citations

15.

Berkes, Pietro, Richard E. Turner, & Maneesh Sahani. (2007). On Sparsity and Overcompleteness in Image Models. UCL Discovery (University College London). 20. 89–96. 12 indexed citations

16.

Berkes, Pietro, et al.. (2006). What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?. Neural Computation. 18(10). 2495–2508. 55 indexed citations

17.

Berkes, Pietro & Laurenz Wiskott. (2005). Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision. 5(6). 9–9. 182 indexed citations

18.

Berkes, Pietro. (2005). Pattern Recognition with Slow Feature Analysis. CogPrints (University of Southampton). 30 indexed citations

19.

Wiskott, Laurenz & Pietro Berkes. (2003). Is slowness a learning principle of the visual cortex?. Zoology. 106(4). 373–382. 10 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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