Pierre Baqué

469 total citations
8 papers, 206 citations indexed

About

Pierre Baqué is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Pierre Baqué has authored 8 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Artificial Intelligence and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Pierre Baqué's work include Gaussian Processes and Bayesian Inference (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Pierre Baqué is often cited by papers focused on Gaussian Processes and Bayesian Inference (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Computer Graphics and Visualization Techniques (2 papers). Pierre Baqué collaborates with scholars based in Switzerland, United States and French Polynesia. Pierre Baqué's co-authors include Pascal Fua, François Fleuret, Timur Bagautdinov, Luc Van Gool, Tatjana Chavdarova, Andrii Maksai, Cijo Jose, Jean H. Hankin, Phyllis E. Bowen and Gary R. Beecher and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Cancer and Computers & Fluids.

In The Last Decade

Pierre Baqué

8 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Baqué Switzerland	6	105	47	33	27	26	8	206
Yiming Hao China	5	204 1.9×	87 1.9×	6 0.2×	25 0.9×	9 0.3×	10	326
Jupeng Li China	9	92 0.9×	79 1.7×	15 0.5×	19 0.7×	8 0.3×	43	283
Jiacheng Lin China	9	114 1.1×	66 1.4×	3 0.1×	55 2.0×	14 0.5×	30	306
Yinghong Liao China	8	156 1.5×	95 2.0×	3 0.1×	12 0.4×	17 0.7×	12	264
Akihito Seki Japan	9	459 4.4×	25 0.5×	4 0.1×	17 0.6×	171 6.6×	21	523
Shiguang Wang China	8	88 0.8×	44 0.9×		5 0.2×	14 0.5×	18	319
James Gabriel United States	4	124 1.2×	36 0.8×		10 0.4×	25 1.0×	5	250
Shuangmin Chen China	9	80 0.8×	13 0.3×	2 0.1×	15 0.6×	14 0.5×	48	259
Bin Dong China	8	183 1.7×	29 0.6×		10 0.4×	25 1.0×	18	255

Countries citing papers authored by Pierre Baqué

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Baqué

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Baqué

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

All Works

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8 of 8 papers shown

1.

Remelli, Edoardo, et al.. (2024). DeepMesh: Differentiable Iso-Surface Extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7072–7087. 3 indexed citations

2.

Baqué, Pierre, et al.. (2023). Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage. ASME Journal of Heat and Mass Transfer. 145(5). 2 indexed citations

3.

Vasu, Subeesh, et al.. (2022). HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). abs 1607 5695. 617–626. 5 indexed citations

4.

Zampieri, L., et al.. (2022). A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil. Computers & Fluids. 251. 105759–105759. 10 indexed citations

5.

Chavdarova, Tatjana, Pierre Baqué, Andrii Maksai, et al.. (2018). WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5030–5039. 121 indexed citations

6.

Baqué, Pierre, Timur Bagautdinov, François Fleuret, & Pascal Fua. (2016). Principled Parallel Mean-Field Inference for Discrete Random Fields. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 5848–5857. 7 indexed citations

7.

Khan, Mohammad Emtiyaz, Pierre Baqué, François Fleuret, & Pascal Fua. (2015). Kullback-Leibler proximal variational inference. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28. 3402–3410. 8 indexed citations

8.

Marchand, Loı̈c Le, Jean H. Hankin, Laurence N. Kolonel, et al.. (1995). An ecological study of diet and lung cancer in the South Pacific. International Journal of Cancer. 63(1). 18–23. 50 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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