Samuel Nicolay

144 total papers · 1.1k total citations
49 papers, 738 citations indexed

About

Samuel Nicolay is a scholar working on Molecular Biology, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Samuel Nicolay has authored 49 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Applied Mathematics and 11 papers in Mathematical Physics. Recurrent topics in Samuel Nicolay's work include Image and Signal Denoising Methods (11 papers), Complex Systems and Time Series Analysis (10 papers) and Mathematical Analysis and Transform Methods (8 papers). Samuel Nicolay is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Complex Systems and Time Series Analysis (10 papers) and Mathematical Analysis and Transform Methods (8 papers). Samuel Nicolay collaborates with scholars based in Belgium, France and United States. Samuel Nicolay's co-authors include Yves d’Aubenton-Carafa, Claude Thermes, A. Arnéodo, Marie Touchon, Benjamin Audit, Michel Erpicum, Xavier Fettweis, Maxime Huvet, Adrien Deliège and M. R. van den Broeke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and FEBS Letters.

In The Last Decade

Samuel Nicolay

43 papers receiving 725 citations

Author Peers

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

Author Last Decade Papers Cites
Samuel Nicolay 455 129 104 90 76 49 738
Hongxiao Zhu 203 0.4× 11 0.1× 123 1.2× 25 0.3× 42 0.6× 38 631
Geoff C. Smith 273 0.6× 88 0.7× 63 0.6× 25 0.3× 16 0.2× 34 762
Alberto Rodríguez‐Casal 60 0.1× 28 0.2× 34 0.3× 59 0.7× 23 0.3× 30 644
Péter L. Várkonyi 162 0.4× 32 0.2× 23 0.2× 33 0.4× 11 0.1× 63 822
Christoph S. Garbe 197 0.4× 117 0.9× 11 0.1× 65 0.7× 11 0.1× 60 824
Lintao Liu 135 0.3× 109 0.8× 34 0.3× 119 1.3× 37 0.5× 77 795
Rina Foygel Barber 60 0.1× 54 0.4× 72 0.7× 33 0.4× 10 0.1× 49 753
R. R. Laxton 115 0.3× 32 0.2× 16 0.2× 18 0.2× 6 0.1× 45 635
Francisco Torres‐Ruiz 148 0.3× 13 0.1× 26 0.3× 56 0.6× 20 0.3× 60 729
Jaeyong Lee 68 0.1× 26 0.2× 29 0.3× 41 0.5× 7 0.1× 66 658

Countries citing papers authored by Samuel Nicolay

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Nicolay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Nicolay

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