Julien Jacques

2.9k total citations
86 papers, 1.8k citations indexed

About

Julien Jacques is a scholar working on Artificial Intelligence, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Julien Jacques has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 19 papers in Organic Chemistry and 13 papers in Molecular Biology. Recurrent topics in Julien Jacques's work include Bayesian Methods and Mixture Models (24 papers), Advanced Clustering Algorithms Research (18 papers) and Molecular spectroscopy and chirality (8 papers). Julien Jacques is often cited by papers focused on Bayesian Methods and Mixture Models (24 papers), Advanced Clustering Algorithms Research (18 papers) and Molecular spectroscopy and chirality (8 papers). Julien Jacques collaborates with scholars based in France, United States and Italy. Julien Jacques's co-authors include Cristian Preda, Charles Bouveyron, Christophe Biernacki, C. Fouquey, Nicolas Devictor, Christian Lavergne, Étienne Côme, Mathilde Leclercq, Jacques Malthête and André Collet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Tetrahedron.

In The Last Decade

Julien Jacques

79 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Jacques France 22 559 283 268 202 198 86 1.8k
Luis Ángel García-Escudero Spain 22 606 1.1× 175 0.6× 499 1.9× 149 0.7× 61 0.3× 76 1.4k
Jim Freeman United Kingdom 18 151 0.3× 215 0.8× 206 0.8× 39 0.2× 100 0.5× 79 2.3k
Yingying Fan China 36 520 0.9× 203 0.7× 810 3.0× 99 0.5× 786 4.0× 136 6.0k
Pierre Margot Switzerland 36 183 0.3× 141 0.5× 27 0.1× 481 2.4× 520 2.6× 103 4.0k
Jong‐Min Kim South Korea 26 297 0.5× 64 0.2× 895 3.3× 22 0.1× 122 0.6× 303 3.1k
Ana M. Aguilera Spain 25 222 0.4× 22 0.1× 631 2.4× 89 0.4× 201 1.0× 111 2.2k
S. H. Ong Malaysia 19 505 0.9× 56 0.2× 463 1.7× 190 0.9× 82 0.4× 140 2.6k
Ildiko E. Frank United States 17 100 0.2× 302 1.1× 213 0.8× 31 0.2× 472 2.4× 31 2.1k
Lorentz Jäntschi Romania 23 162 0.3× 136 0.5× 105 0.4× 23 0.1× 170 0.9× 223 1.9k
Lukas Meier Switzerland 18 505 0.9× 24 0.1× 846 3.2× 79 0.4× 410 2.1× 36 2.4k

Countries citing papers authored by Julien Jacques

Since Specialization
Citations

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

Fields of papers citing papers by Julien Jacques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Jacques

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Jacques. A scholar is included among the top collaborators of Julien Jacques 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 Jacques. Julien Jacques 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.
Jacques, Julien, et al.. (2024). Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions. Statistics and Computing. 34(2). 2 indexed citations
2.
Jacques, Julien, et al.. (2024). A mixture of experts regression model for functional response with functional covariates. Statistics and Computing. 34(5).
3.
Jacques, Julien, et al.. (2020). Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition. 103. 107315–107315. 12 indexed citations
4.
Jacques, Julien, et al.. (2019). Model-based co-clustering for mixed type data. Computational Statistics & Data Analysis. 144. 106866–106866. 17 indexed citations
5.
Martínez‐Álvarez, Francisco, et al.. (2018). A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand. Energies. 12(1). 94–94. 19 indexed citations
6.
Cugliari, Jairo, et al.. (2018). Short-Term Electricity Demand Forecasting Using a Functional State Space Model. Energies. 11(5). 1120–1120. 33 indexed citations
7.
Haurogné, Karine, Grégoire Mignot, Marie Allard, et al.. (2016). Acute social stress-induced immunomodulation in pigs high and low responders to ACTH. Physiology & Behavior. 169. 1–8. 25 indexed citations
8.
Jacques, Julien & Cyril Ruckebusch. (2016). Model-based co-clustering for hyperspectral images. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Bouveyron, Charles, Étienne Côme, & Julien Jacques. (2015). The discriminative functional mixture model for a comparative analysis of bike sharing systems. The Annals of Applied Statistics. 9(4). 88 indexed citations
10.
Herbert, Fabien, Nicolas Tchitchek, Devendra Bansal, et al.. (2015). Evidence of IL-17, IP-10, and IL-10 involvement in multiple-organ dysfunction and IL-17 pathway in acute renal failure associated to Plasmodium falciparum malaria. Journal of Translational Medicine. 13(1). 369–369. 32 indexed citations
11.
Bouveyron, Charles & Julien Jacques. (2013). Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. Communications in Statistics - Simulation and Computation. 43(10). 2570–2592. 1 indexed citations
12.
Biernacki, Christophe & Julien Jacques. (2010). Modèles génératifs de rangs relatifs à un algorithme de tri par insertion. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
13.
Graf, Norbert, Robert G. Belleman, Christine Desmedt, et al.. (2009). ‘In Silico’ Oncology for Clinical Decision Making in the Context of Nephroblastoma. Klinische Pädiatrie. 221(3). 141–149. 12 indexed citations
14.
Biernacki, Christophe & Julien Jacques. (2009). A generative model for rank data based on sorting algorithm. 4 indexed citations
15.
Falchi, Alessandra, Laurent Andréoletti, Julien Jacques, et al.. (2008). Dual infections by influenza A/H3N2 and B viruses and by influenza A/H3N2 and A/H1N1 viruses during winter 2007, Corsica Island, France. Journal of Clinical Virology. 41(2). 148–151. 52 indexed citations
16.
Tình, Nguyễn Hữu, C. Destrade, Jacques Malthête, & Julien Jacques. (1982). A pure reentrant cholesteric phase. Molecular crystals and liquid crystals. 72(7-8). 195–199. 8 indexed citations
17.
BRIENNE, M.‐J., et al.. (1979). Préparation de la D (‐) Phénylglycine: Mise au Point D'Un Dedoublement par Entraînement. Bulletin des Sociétés Chimiques Belges. 88(11). 897–904. 2 indexed citations
18.
BRIENNE, M.‐J. & Julien Jacques. (1975). Remarques sur la chiralite de certains clathrates du type cage. Tetrahedron Letters. 16(28). 2349–2352. 11 indexed citations
19.
20.
Fouquey, C. & Julien Jacques. (1967). Determination de la purete optique d'un corps cristallin par une methode calorimetrique. Tetrahedron. 23(10). 4009–4019. 34 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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