Alexandre Lacoste

3.0k total citations · 1 hit paper
26 papers, 616 citations indexed

About

Alexandre Lacoste is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Alexandre Lacoste has authored 26 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Infectious Diseases. Recurrent topics in Alexandre Lacoste's work include SARS-CoV-2 detection and testing (6 papers), Machine Learning and Data Classification (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Alexandre Lacoste is often cited by papers focused on SARS-CoV-2 detection and testing (6 papers), Machine Learning and Data Classification (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Alexandre Lacoste collaborates with scholars based in Canada, France and United States. Alexandre Lacoste's co-authors include Pau Rodríguez, David Vázquez, Xavier Giró-i-Nieto, Oscar Mañas, Daniel Hewlett, Douglas Eck, Illia Polosukhin, Mario Marchand, Eunsol Choi and Jonathan Berant and has published in prestigious journals such as Frontiers in Microbiology, Journal of Immunological Methods and Viruses.

In The Last Decade

Alexandre Lacoste

24 papers receiving 588 citations

Hit Papers

align trajectories

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.

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

2021 202 citations Alexandre Lacoste, David Vázquez et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexandre Lacoste Canada	13	296	194	133	83	59	26	616
Muhammad Shahzad Sarfraz Pakistan	12	138 0.5×	143 0.7×	194 1.5×	57 0.7×	15 0.3×	46	798
Tej Bahadur Shahi Australia	17	310 1.0×	144 0.7×	54 0.4×	13 0.2×	90 1.5×	34	1.1k
Simon Bernard France	9	182 0.6×	84 0.4×	34 0.3×	16 0.2×	82 1.4×	16	510
Wallace Casaca Brazil	14	89 0.3×	227 1.2×	88 0.7×	28 0.3×	5 0.1×	57	535
Anshu Singla India	10	158 0.5×	162 0.8×	62 0.5×	9 0.1×	15 0.3×	38	528
Hans Hauska Sweden	7	155 0.5×	67 0.3×	55 0.4×	11 0.1×	32 0.5×	16	468
Noël Richard France	10	78 0.3×	195 1.0×	119 0.9×	12 0.1×	27 0.5×	55	383
Rahul Gomes United States	12	177 0.6×	53 0.3×	35 0.3×	12 0.1×	21 0.4×	34	484
Mattia Savardi Italy	11	118 0.4×	114 0.6×	143 1.1×	18 0.2×	24 0.4×	29	566
Pablo Morales-Álvarez Spain	10	141 0.5×	56 0.3×	21 0.2×	87 1.0×	16 0.3×	25	321

Countries citing papers authored by Alexandre Lacoste

Since Specialization

Citations

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

Fields of papers citing papers by Alexandre Lacoste

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Lacoste

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Lacoste. A scholar is included among the top collaborators of Alexandre Lacoste 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 Lacoste. Alexandre Lacoste 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:

20 of 20 papers shown

Wurtz, Nathalie, Céline Boschi, Alexandre Lacoste, et al.. (2025). Long-Term Sewage Survey of SARS-CoV-2, Influenza A and Respiratory Syncytial Virus (RSV), and Correlation to Human Cases in a City with One Million Inhabitants. Microorganisms. 13(10). 2268–2268.

Wurtz, Nathalie, et al.. (2023). Simple Wastewater Preparation Protocol Applied to Monitor the Emergence of the Omicron 21L/BA.2 Variant by Genome Sequencing. Viruses. 15(2). 268–268. 3 indexed citations

Lacoste, Alexandre, et al.. (2023). Epidemiological Description and Detection of Antimicrobial Resistance in Various Aquatic Sites in Marseille, France. Microbiology Spectrum. 11(2). e0142622–e0142622. 4 indexed citations

Wurtz, Nathalie, Alexandre Lacoste, Priscilla Jardot, et al.. (2021). Viral RNA in City Wastewater as a Key Indicator of COVID-19 Recrudescence and Containment Measures Effectiveness. Frontiers in Microbiology. 12. 664477–664477. 25 indexed citations

Rodríguez, Pau, M. Caccia, Alexandre Lacoste, et al.. (2021). Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1036–1045. 19 indexed citations

Wurtz, Nathalie, Priscilla Jardot, Audrey Giraud‐Gatineau, et al.. (2021). Monitoring the Circulation of SARS-CoV-2 Variants by Genomic Analysis of Wastewater in Marseille, South-East France. Pathogens. 10(8). 1042–1042. 22 indexed citations

Caccia, M., Pau Rodríguez, Min Lin, et al.. (2020). Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. Neural Information Processing Systems. 33. 16532–16545. 23 indexed citations

Lacoste, Alexandre, et al.. (2020). Environmental samples: a valuable military help for COVID-19 lockdown exit strategy. BMJ Military Health. 166(6). 441–441.

Ahmed, Faruk, et al.. (2019). Probability Distillation: A Caveat and Alternatives.. Uncertainty in Artificial Intelligence. 1212–1221. 2 indexed citations

10.

Tan, Shawn, et al.. (2018). Improving Explorability in Variational Inference with Annealed Variational Objectives. arXiv (Cornell University). 31. 9701–9711. 2 indexed citations

11.

Choi, Eunsol, Daniel Hewlett, Jakob Uszkoreit, et al.. (2017). Coarse-to-Fine Question Answering for Long Documents. 209–220. 79 indexed citations

12.

Hewlett, Daniel, Llion Jones, Alexandre Lacoste, & İzzeddin Gür. (2017). Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. 2011–2020. 13 indexed citations

13.

Hewlett, Daniel, Alexandre Lacoste, Llion Jones, et al.. (2016). WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. 49 indexed citations

14.

Lacoste, Alexandre, Hugo Larochelle, Mario Marchand, & François Laviolette. (2014). Sequential model-based ensemble optimization. Uncertainty in Artificial Intelligence. 440–448. 2 indexed citations

15.

Lacoste, Alexandre, et al.. (2014). Agnostic Bayesian Learning of Ensembles. International Conference on Machine Learning. 611–619. 14 indexed citations

16.

Drouin, Alexandre, et al.. (2013). MHC-NP: Predicting peptides naturally processed by the MHC. Journal of Immunological Methods. 400-401. 30–36. 42 indexed citations

17.

Lacoste, Alexandre, et al.. (2012). Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets. International Conference on Artificial Intelligence and Statistics. 665–675. 19 indexed citations

18.

Germain, Pascal, et al.. (2011). A PAC-Bayes Sample-compression Approach to Kernel Methods. International Conference on Machine Learning. 297–304. 8 indexed citations

19.

Germain, Pascal, et al.. (2011). A PAC-Bayes Sample-compression Approach to Kernel Methods : Supplementary material. 1 indexed citations

20.

Lacoste, Alexandre & Douglas Eck. (2006). A Supervised Classification Algorithm for Note Onset Detection. EURASIP Journal on Advances in Signal Processing. 2007(1). 35 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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