Julien Cornebise

7.0k total citations · 1 hit paper
8 papers, 787 citations indexed

About

Julien Cornebise is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julien Cornebise has authored 8 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Julien Cornebise's work include Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Julien Cornebise is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Julien Cornebise collaborates with scholars based in United Kingdom, Australia and France. Julien Cornebise's co-authors include Charles Blundell, Daan Wierstra, Koray Kavukcuoglu, Marco Loog, Gustavo Carneiro, Zhi Lü, Jaime S. Cardoso, Jacinto C. Nascimento, Diana Mateus and Andrew P. Bradley and has published in prestigious journals such as Statistics in Medicine, Lecture notes in computer science and Statistics and Computing.

In The Last Decade

Julien Cornebise

8 papers receiving 767 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Weight Uncertainty in Neural Network

2015 363 citations Charles Blundell, Julien Cornebise et al. International Conference on Machine Learning profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julien Cornebise United Kingdom	6	424	265	161	75	45	8	787
Geoff Pleiss United States	7	535 1.3×	325 1.2×	106 0.7×	13 0.2×	51 1.1×	10	968
Seniha Esen Yüksel Türkiye	13	215 0.5×	280 1.1×	91 0.6×	28 0.4×	84 1.9×	75	837
Botond Cseke Netherlands	8	213 0.5×	173 0.7×	38 0.2×	62 0.8×	41 0.9×	17	657
François Lauze Denmark	15	198 0.5×	467 1.8×	264 1.6×	14 0.2×	143 3.2×	55	989
Ananda S. Chowdhury India	19	246 0.6×	578 2.2×	179 1.1×	15 0.2×	90 2.0×	104	1.1k
Nasrullah Nasrullah China	7	211 0.5×	240 0.9×	509 3.2×	12 0.2×	68 1.5×	9	904
Moumen El-Melegy Egypt	14	187 0.4×	329 1.2×	159 1.0×	8 0.1×	91 2.0×	72	663
Marina Skurichina Netherlands	12	359 0.8×	223 0.8×	189 1.2×	42 0.6×	148 3.3×	14	1.0k
Quan Wen China	17	324 0.8×	284 1.1×	23 0.1×	82 1.1×	53 1.2×	79	929
Abhir Bhalerao United Kingdom	15	178 0.4×	467 1.8×	303 1.9×	15 0.2×	102 2.3×	77	994

Countries citing papers authored by Julien Cornebise

Since Specialization

Citations

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

Fields of papers citing papers by Julien Cornebise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Cornebise

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Schucher, Nathan, et al.. (2019). Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning.. International Conference on Learning Representations. 1 indexed citations

2.

Deudon, Michel, Freddie Kalaitzis, Zhichao Lin, et al.. (2019). HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. 5 indexed citations

3.

Cornebise, Julien, Jaime S. Cardoso, Zhi Lü, et al.. (2016). Deep Learning and Data Labeling for Medical Applications. Lecture notes in computer science. 289 indexed citations

4.

Blundell, Charles, Julien Cornebise, Koray Kavukcuoglu, & Daan Wierstra. (2015). Weight Uncertainty in Neural Network. International Conference on Machine Learning. 1613–1622. 363 indexed citations breakdown →

5.

Filippi, Sarah, C. Barnes, Julien Cornebise, & Michael P. H. Stumpf. (2013). On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo. Statistical Applications in Genetics and Molecular Biology. 12(1). 87–107. 70 indexed citations

6.

Cornebise, Julien, Éric Moulines, & Jimmy Olsson. (2013). Adaptive sequential Monte Carlo by means of mixture of experts. Statistics and Computing. 24(3). 317–337. 5 indexed citations

7.

Peters, Gareth W., et al.. (2012). Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus. Statistics in Medicine. 32(11). 1917–1953. 14 indexed citations

8.

Cornebise, Julien, Éric Moulines, & Jimmy Olsson. (2008). Adaptive methods for sequential importance sampling with application to state space models. Statistics and Computing. 18(4). 461–480. 40 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.

Explore authors with similar magnitude of impact