Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Bayesian brain: the role of uncertainty in neural coding and computation
20041.5k citationsAlexandre Pouget et al.profile →
Neural correlations, population coding and computation
20061.1k citationsPeter E. Latham, Alexandre Pouget et al.profile →
Bayesian inference with probabilistic population codes
2006982 citationsWei Ji, Peter E. Latham et al.Nature Neuroscienceprofile →
Information processing with population codes
2000509 citationsAlexandre Pouget, Peter Dayan et al.profile →
Confidence and certainty: distinct probabilistic quantities for different goals
2016301 citationsAlexandre Pouget, Jan Drugowitsch et al.Nature Neuroscienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alexandre Pouget
Since
Specialization
Citations
This map shows the geographic impact of Alexandre Pouget'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 Alexandre Pouget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Pouget more than expected).
Fields of papers citing papers by Alexandre Pouget
This network shows the impact of papers produced by Alexandre Pouget. 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 Alexandre Pouget. The network helps show where Alexandre Pouget may publish in the future.
Co-authorship network of co-authors of Alexandre Pouget
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Pouget.
A scholar is included among the top collaborators of Alexandre Pouget 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 Alexandre Pouget. Alexandre Pouget is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dayan, Peter, et al.. (2020). A Local Temporal Difference Code for Distributional Reinforcement Learning. MPG.PuRe (Max Planck Society). 33. 13662–13673.4 indexed citations
3.
Drugowitsch, Jan, et al.. (2019). Learning optimal decisions with confidence. Proceedings of the National Academy of Sciences. 116(49). 24872–24880.38 indexed citations
Banerjee, Arunava & Alexandre Pouget. (2002). Dynamical Constraints on Computing with Spike Timing in the Cortex. Neural Information Processing Systems. 15. 285–292.1 indexed citations
12.
Denève, Sophie, Jean‐René Duhamel, & Alexandre Pouget. (2000). A New Model of Spatial Representation in Multimodal Brain Areas. Neural Information Processing Systems. 13. 117–123.1 indexed citations
13.
Denève, Sophie, Alexandre Pouget, & Peter E. Latham. (1998). Divisive Normalization, Line Attractor Networks and Ideal Observers. Neural Information Processing Systems. 11. 104–110.8 indexed citations
14.
Denève, Sophie & Alexandre Pouget. (1997). Neural Basis of Object-Centered Representations. Neural Information Processing Systems. 24–30.15 indexed citations
15.
Pouget, Alexandre & Kechen Zhang. (1997). Statistically efficient estimation using cortical lateral connection. Neural Information Processing Systems. 97–103.1 indexed citations
16.
Pouget, Alexandre & Kechen Zhang. (1996). Statistically Efficient Estimations Using Cortical Lateral Connections. Neural Information Processing Systems. 97–103.7 indexed citations
17.
Pouget, Alexandre & Terrence J. Sejnowski. (1994). Spatial Representations in the Parietal Cortex May Use Basis Functions. Neural Information Processing Systems. 7. 157–164.31 indexed citations
18.
Pouget, Alexandre, et al.. (1994). Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. Neural Information Processing Systems. 7. 125–132.4 indexed citations
19.
Montague, P. Read, Peter Dayan, Steven J. Nowlan, Alexandre Pouget, & Terrence J. Sejnowski. (1992). Using Aperiodic Reinforcement for Directed Self-Organization During Development. UCL Discovery (University College London). 5. 969–976.17 indexed citations
20.
Pouget, Alexandre, Stephen Fisher, & Terrence J. Sejnowski. (1991). Hierarchical Transformation of Space in the Visual System. Neural Information Processing Systems. 4. 412–419.5 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.