Jacques Droulez

2.4k total citations
68 papers, 1.4k citations indexed

About

Jacques Droulez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Jacques Droulez has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 19 papers in Computer Vision and Pattern Recognition and 10 papers in Epidemiology. Recurrent topics in Jacques Droulez's work include Visual perception and processing mechanisms (33 papers), Advanced Vision and Imaging (14 papers) and Ophthalmology and Visual Impairment Studies (10 papers). Jacques Droulez is often cited by papers focused on Visual perception and processing mechanisms (33 papers), Advanced Vision and Imaging (14 papers) and Ophthalmology and Visual Impairment Studies (10 papers). Jacques Droulez collaborates with scholars based in France, Singapore and United States. Jacques Droulez's co-authors include V. Cornilleau-Pérès, Alain Berthoz, Andras Kemeny, Gilles Reymond, Jean Laurens, Mark Wexler, Francesco Panerai, A. Grantyn, James Goh and Pierre Bessìère and has published in prestigious journals such as Nature, PLoS ONE and NeuroImage.

In The Last Decade

Jacques Droulez

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Droulez France 22 782 245 243 230 158 68 1.4k
Eric L. Groen Netherlands 20 643 0.8× 155 0.6× 107 0.4× 512 2.2× 292 1.8× 91 1.6k
J.E. Bos Netherlands 33 1.3k 1.6× 285 1.2× 195 0.8× 929 4.0× 733 4.6× 126 3.4k
Moshe Eizenman Canada 26 560 0.7× 108 0.4× 217 0.9× 568 2.5× 132 0.8× 89 2.6k
Willem Bles Netherlands 19 647 0.8× 106 0.4× 58 0.2× 265 1.2× 583 3.7× 36 1.4k
George J. Andersen United States 36 2.2k 2.8× 321 1.3× 512 2.1× 681 3.0× 92 0.6× 105 3.0k
Stephen Palmisano Australia 32 2.1k 2.7× 96 0.4× 442 1.8× 604 2.6× 395 2.5× 136 3.2k
Jean‐Louis Vercher France 34 2.5k 3.2× 265 1.1× 109 0.4× 721 3.1× 681 4.3× 105 3.3k
Gang Luo United States 21 456 0.6× 60 0.2× 274 1.1× 113 0.5× 29 0.2× 134 1.4k
Hans Strasburger Germany 24 2.3k 2.9× 34 0.1× 407 1.7× 283 1.2× 88 0.6× 77 3.0k

Countries citing papers authored by Jacques Droulez

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Droulez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Droulez

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Droulez. A scholar is included among the top collaborators of Jacques Droulez 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 Jacques Droulez. Jacques Droulez 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.
Khamassi, Mehdi, Adrien Peyrache, Karim Benchenane, et al.. (2024). Rat anterior cingulate neurons responsive to rule or strategy changes are modulated by the hippocampal theta rhythm and sharp‐wave ripples. European Journal of Neuroscience. 60(6). 5300–5327.
2.
Hirtzlin, Tifenn, Elisa Vianello, Jacques Droulez, et al.. (2023). Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. HAL AMU. 1–2. 2 indexed citations
3.
Hirtzlin, Tifenn, Elisa Vianello, Jacques Droulez, et al.. (2022). A memristor-based Bayesian machine. Nature Electronics. 27 indexed citations
4.
Friedman, Joseph S., Jacques Droulez, Pierre Bessìère, Jorge Lobo, & Damien Querlioz. (2017). Approximation enhancement for stochastic Bayesian inference. International Journal of Approximate Reasoning. 85. 139–158. 10 indexed citations
5.
Bessìère, Pierre, et al.. (2016). Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences. IEEE Transactions on Emerging Topics in Computing. 7(1). 60–66. 7 indexed citations
6.
Calvet, Laurie E., Joseph S. Friedman, Damien Querlioz, Pierre Bessìère, & Jacques Droulez. (2016). Sleep stage classification with stochastic Bayesian inference. 117–122. 2 indexed citations
7.
Bessìère, Pierre, et al.. (2016). Cell signaling as a probabilistic computer. International Journal of Approximate Reasoning. 83. 385–399. 3 indexed citations
8.
N’Guyen, Steve, Clément Moulin-Frier, & Jacques Droulez. (2013). Decision Making under Uncertainty: A Quasimetric Approach. PLoS ONE. 8(12). e83411–e83411. 4 indexed citations
9.
Thibault, Guillaume, Achille Pasqualotto, Manuel Vidal, Jacques Droulez, & Alain Berthoz. (2012). How does horizontal and vertical navigation influence spatial memory of multifloored environments?. Attention Perception & Psychophysics. 75(1). 10–15. 23 indexed citations
10.
Bessìère, Pierre, et al.. (2010). The Probabilistic Cell: Implementation of a Probabilistic Inference by the Biochemical Mechanisms of Phototransduction. Acta Biotheoretica. 58(2-3). 103–120. 10 indexed citations
11.
Paradis, Anne‐Lise, Jacques Droulez, V. Cornilleau-Pérès, & Jean‐Baptiste Poline. (2008). Processing 3D form and 3D motion: Respective contributions of attention-based and stimulus-driven activity. NeuroImage. 43(4). 736–747. 9 indexed citations
12.
Colas, Francis, et al.. (2007). A unified probabilistic model of the perception of three-dimensional structure from optic flow. Biological Cybernetics. 97(5-6). 461–477. 11 indexed citations
13.
Zhong, Huiying, et al.. (2006). The visual perception of plane tilt from motion in small field and large field: Psychophysics and theory. Vision Research. 46(20). 3494–3513. 6 indexed citations
14.
Laurens, Jean & Jacques Droulez. (2006). Bayesian processing of vestibular information. Biological Cybernetics. 96(4). 389–404. 131 indexed citations
15.
Cornilleau-Pérès, V., et al.. (2004). Measurement of the visual contribution to postural steadiness from the COP movement: methodology and reliability. Gait & Posture. 22(2). 96–106. 93 indexed citations
16.
Panerai, Francesco, et al.. (2002). Absolute distance perception during in-depth head movement: calibrating optic flow with extra-retinal information. Vision Research. 42(16). 1991–2003. 19 indexed citations
17.
Cornilleau-Pérès, V., et al.. (2002). Visual perception of planar orientation: dominance of static depth cues over motion cues. Vision Research. 42(11). 1403–1412. 18 indexed citations
18.
Dijkstra, Tjeerd M. H., V. Cornilleau-Pérès, C.C.A.M. Gielen, & Jacques Droulez. (1995). Perception of three-dimensional shape from ego- and object-motion: Comparison between small- and large-field stimuli. Vision Research. 35(4). 453–462. 21 indexed citations
19.
Cornilleau-Pérès, V. & Jacques Droulez. (1994). The visual perception of three-dimensional shape from self-motion and object-motion. Vision Research. 34(18). 2331–2336. 33 indexed citations
20.
Cornilleau-Pérès, V. & Jacques Droulez. (1993). Stereo-motion cooperation and the use ofmotion disparity in the visual perception of 3-D structure. Perception & Psychophysics. 54(2). 223–239. 29 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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