Pierre Alquier

112 total papers · 1.2k total citations
33 papers, 289 citations indexed

About

Pierre Alquier is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Pierre Alquier has authored 33 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 11 papers in Computational Mechanics. Recurrent topics in Pierre Alquier's work include Statistical Methods and Inference (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Machine Learning and Algorithms (8 papers). Pierre Alquier is often cited by papers focused on Statistical Methods and Inference (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Machine Learning and Algorithms (8 papers). Pierre Alquier collaborates with scholars based in France, Japan and United Kingdom. Pierre Alquier's co-authors include Richard G. Everitt, Nial Friel, Benjamin Guedj, Olivier Wintenberger, Xiaoyin Li, Guillaume Lecué, Mohamed Hebiri, Nicolás Chopin, Tomoyuki Morimae and Feng Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Physical Review A.

In The Last Decade

Pierre Alquier

26 papers receiving 274 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pierre Alquier	164	143	49	34	31	33	289
Chao Gao	103 0.6×	205 1.4×	61 1.2×	28 0.8×	18 0.6×	29	312
Stanislav Minsker	111 0.7×	141 1.0×	57 1.2×	22 0.6×	15 0.5×	21	276
T. Krishnan	109 0.7×	62 0.4×	19 0.4×	47 1.4×	14 0.5×	27	299
Klaus Frick	43 0.3×	110 0.8×	74 1.5×	59 1.7×	37 1.2×	21	316
Kangning Wang	73 0.4×	144 1.0×	26 0.5×	22 0.6×	39 1.3×	51	286
Joong‐Ho Won	57 0.3×	70 0.5×	35 0.7×	32 0.9×	14 0.5×	37	275
Claire Lacour	76 0.5×	186 1.3×	19 0.4×	25 0.7×	33 1.1×	21	255
Guillaume Lecué	92 0.6×	171 1.2×	102 2.1×	47 1.4×	27 0.9×	28	292
Yu. I. Ingster	94 0.6×	195 1.4×	27 0.6×	24 0.7×	12 0.4×	28	282
Yannis G. Yatracos	85 0.5×	134 0.9×	18 0.4×	8 0.2×	26 0.8×	34	230

Countries citing papers authored by Pierre Alquier

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Alquier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Alquier

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

All Works

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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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