Frederic Besse

1.3k total citations
8 papers, 258 citations indexed

About

Frederic Besse is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Frederic Besse has authored 8 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Frederic Besse's work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Frederic Besse is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Frederic Besse collaborates with scholars based in United States, United Kingdom and Switzerland. Frederic Besse's co-authors include Jan Kautz, Carsten Rother, Andrew Fitzgibbon, Daan Wierstra, Danilo Jimenez Rezende, Karol Gregor, Ivo Danihelka, Malcolm Reynolds, Dylan Banarse and Marc Lanctot and has published in prestigious journals such as International Journal of Computer Vision, Neural Information Processing Systems and 2011 IEEE/AIAA 30th Digital Avionics Systems Conference.

In The Last Decade

Frederic Besse

8 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frederic Besse United States	5	208	62	39	37	13	8	258
Hongping Cai China	9	182 0.9×	52 0.8×	32 0.8×	37 1.0×	12 0.9×	10	232
In-So Kweon South Korea	7	237 1.1×	35 0.6×	81 2.1×	55 1.5×	9 0.7×	8	278
A. Diplaros Netherlands	5	260 1.3×	55 0.9×	33 0.8×	51 1.4×	18 1.4×	7	303
Yiwei Ma China	8	295 1.4×	109 1.8×	10 0.3×	17 0.5×	13 1.0×	15	340
Carl Case United States	4	236 1.1×	50 0.8×	17 0.4×	90 2.4×	13 1.0×	8	290
Yukiko Kenmochi⋆ France	9	159 0.8×	16 0.3×	12 0.3×	16 0.4×	6 0.5×	32	188
Xingran Liao China	10	241 1.2×	20 0.3×	16 0.4×	159 4.3×	8 0.6×	14	319
Zhan Li China	8	114 0.5×	33 0.5×	7 0.2×	30 0.8×	14 1.1×	35	181
A.-R. Mansouri Canada	10	366 1.8×	22 0.4×	55 1.4×	54 1.5×	7 0.5×	25	404

Countries citing papers authored by Frederic Besse

Since Specialization

Citations

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

Fields of papers citing papers by Frederic Besse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederic Besse

This figure shows the co-authorship network connecting the top 25 collaborators of Frederic Besse. A scholar is included among the top collaborators of Frederic Besse 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 Frederic Besse. Frederic Besse 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.

Gregor, Karol, et al.. (2019). Shaping Belief States with Generative Environment Models for RL. Neural Information Processing Systems. 32. 13475–13487. 7 indexed citations

2.

Buesing, Lars, Théophane Weber, Sébastien Racanière, et al.. (2018). Learning Dynamic State Abstractions for Model-Based Reinforcement Learning. 1 indexed citations

3.

Ramalho, Tiago, Tomáš Kočiský, Frederic Besse, et al.. (2018). Learning to encode spatial relations from natural language. 2 indexed citations

4.

Gregor, Karol, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, & Daan Wierstra. (2016). Towards Conceptual Compression. Neural Information Processing Systems. 29. 3549–3557. 45 indexed citations

5.

Fernando, Chrisantha, Dylan Banarse, Malcolm Reynolds, et al.. (2016). Convolution by Evolution. 109–116. 44 indexed citations

6.

Besse, Frederic, Carsten Rother, Andrew Fitzgibbon, & Jan Kautz. (2013). PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. International Journal of Computer Vision. 110(1). 2–13. 123 indexed citations

7.

Besse, Frederic, Carsten Rother, Andrew Fitzgibbon, & Jan Kautz. (2012). PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. 132.1–132.11. 32 indexed citations

8.

Besse, Frederic, et al.. (2011). Interference estimation in an aeronautical ad hoc network. 2011 IEEE/AIAA 30th Digital Avionics Systems Conference. 4C6–1. 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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