Marc Chamberland

87 total papers · 451 total citations
43 papers, 235 citations indexed

About

Marc Chamberland is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics and Algebra and Number Theory. According to data from OpenAlex, Marc Chamberland has authored 43 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Geometry and Topology, 11 papers in Statistical and Nonlinear Physics and 9 papers in Algebra and Number Theory. Recurrent topics in Marc Chamberland's work include Advanced Differential Equations and Dynamical Systems (10 papers), Advanced Mathematical Identities (8 papers) and Analytic Number Theory Research (6 papers). Marc Chamberland is often cited by papers focused on Advanced Differential Equations and Dynamical Systems (10 papers), Advanced Mathematical Identities (8 papers) and Analytic Number Theory Research (6 papers). Marc Chamberland collaborates with scholars based in United States, Canada and Spain. Marc Chamberland's co-authors include Jonathan M. Borwein, Gary H. Meisters, David Siegel, Ross Cressman, Diana M. Thomas, Karl Dilcher, Armengol Gasull, Victor H. Moll, Arno van den Essen and Armin Straub and has published in prestigious journals such as SIAM Review, American Mathematical Monthly and Nonlinear Analysis.

In The Last Decade

Marc Chamberland

35 papers receiving 214 citations

Author Peers

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

Author						Papers	Cites
Marc Chamberland	74	64	63	55	52	43	235
Cristina Flaut	43 0.6×	69 1.1×	48 0.8×	93 1.7×	51 1.0×	35	207
Hoi H. Nguyen	79 1.1×	38 0.6×	31 0.5×	25 0.5×	119 2.3×	48	266
Ravinder Kumar	72 1.0×	65 1.0×	115 1.8×	21 0.4×	20 0.4×	29	283
Calvin T. Long	89 1.2×	30 0.5×	82 1.3×	67 1.2×	76 1.5×	39	325
Pablo Román	25 0.3×	119 1.9×	71 1.1×	59 1.1×	47 0.9×	32	217
Helmer Aslaksen	119 1.6×	81 1.3×	61 1.0×	36 0.7×	68 1.3×	21	232
Thierry de la Rue	61 0.8×	23 0.4×	57 0.9×	22 0.4×	177 3.4×	42	257
Simon J. A. Malham	43 0.6×	35 0.5×	42 0.7×	91 1.7×	62 1.2×	35	266
Kumiko Nishioka	72 1.0×	86 1.3×	103 1.6×	50 0.9×	112 2.2×	28	269
Keijo Väänänen	52 0.7×	127 2.0×	41 0.7×	22 0.4×	41 0.8×	50	251

Countries citing papers authored by Marc Chamberland

Since Specialization

Citations

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

Fields of papers citing papers by Marc Chamberland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Chamberland

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