Nicolas Perrin

406 total citations
11 papers, 81 citations indexed

About

Nicolas Perrin is a scholar working on Geometry and Topology, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Nicolas Perrin has authored 11 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geometry and Topology, 4 papers in Artificial Intelligence and 3 papers in Mathematical Physics. Recurrent topics in Nicolas Perrin's work include Algebraic Geometry and Number Theory (4 papers), Geometry and complex manifolds (2 papers) and Advanced Algebra and Geometry (2 papers). Nicolas Perrin is often cited by papers focused on Algebraic Geometry and Number Theory (4 papers), Geometry and complex manifolds (2 papers) and Advanced Algebra and Geometry (2 papers). Nicolas Perrin collaborates with scholars based in France, United States and Netherlands. Nicolas Perrin's co-authors include Leonardo C. Mihalcea, Anders Skovsted Buch, Benoît Girard, Olivier Sigaud, Natalia Díaz-Rodríguez, Richard J. Duro, Diederik M. Roijers, David Filliat, Timothy M. Hospedales and Stéphane Doncieux and has published in prestigious journals such as Oikos, Proceedings of the American Mathematical Society and Mathematische Zeitschrift.

In The Last Decade

Nicolas Perrin

11 papers receiving 75 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Perrin France	5	30	28	24	15	13	11	81
James Conway United States	5	28 0.9×	13 0.5×	23 1.0×	30 2.0×		9	52
A. S. Serdyuk Ukraine	9	21 0.7×	10 0.4×	15 0.6×		6 0.5×	58	272
Francesco Sica Singapore	5	11 0.4×	25 0.9×	3 0.1×	13 0.9×		13	53
Henri Lebesgue	5	10 0.3×	7 0.3×	9 0.4×	1 0.1×	7 0.5×	7	44
Sheng-Li Tan China	8	140 4.7×	5 0.2×	57 2.4×	10 0.7×		35	170
Werner Burau Germany	5	37 1.2×	9 0.3×	4 0.2×	19 1.3×	3 0.2×	13	81
Louis Granboulan France	4	8 0.3×	29 1.0×	7 0.3×	3 0.2×	1 0.1×	4	38
Niranjan Balachandran India	3	5 0.2×	9 0.3×		12 0.8×	4 0.3×	15	33
Maggy Tomova United States	6	161 5.4×	6 0.2×	97 4.0×	66 4.4×		22	191
Makoto Ozawa Japan	9	187 6.2×	5 0.2×	105 4.4×	63 4.2×	1 0.1×	47	198

Countries citing papers authored by Nicolas Perrin

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Perrin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Perrin

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

All Works

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11 of 11 papers shown

1.

Pierrot, Thomas, et al.. (2021). Sample efficient Quality Diversity for neural continuous control. 1 indexed citations

2.

Doncieux, Stéphane, David Filliat, Natalia Díaz-Rodríguez, et al.. (2018). Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics. 12. 59–59. 30 indexed citations

3.

Buch, Anders Skovsted, et al.. (2018). Projected Gromov-Witten varieties in cominuscule spaces. Proceedings of the American Mathematical Society. 146(9). 3647–3660. 4 indexed citations

4.

Bouyer, Patricia, et al.. (2017). Timed-automata abstraction of switched dynamical systems using control invariants. Real-Time Systems. 53(3). 327–353. 3 indexed citations

5.

Perrin, Nicolas. (2017). Sanya Lectures: Geometry of Spherical Varieties. Acta Mathematica Sinica English Series. 34(3). 371–416. 2 indexed citations

6.

Houtte, Chris Van, et al.. (2016). Characterizing GeoNet strong motion sites: Site metadata update for the 2015 Strong Motion Database. University of Canterbury Research Repository (University of Canterbury). 1 indexed citations

7.

Mihalcea, Leonardo C., et al.. (2013). Finiteness of cominuscule quantum K-theory. HAL (Le Centre pour la Communication Scientifique Directe). 17 indexed citations

8.

Perrin, Nicolas, et al.. (2009). Local rigidity of quasi-regular varieties. Mathematische Zeitschrift. 265(3). 589–600. 10 indexed citations

9.

Comon-Lundh, Hubert, Florent Jacquemard, & Nicolas Perrin. (2008). Visibly Tree Automata with Memory and Constraints. Logical Methods in Computer Science. Volume 4, Issue 2. 3 indexed citations

10.

Perrin, Nicolas, et al.. (2007). Adaptive Length IIR Filters Implemented with Imprecise Computing. 21. 2887–2892. 3 indexed citations

11.

Arditi, Roger, Lev R. Ginzburg, & Nicolas Perrin. (1992). Scale Invariance Is a Reasonable Approximation in Predation Models: Reply to Ruxton and Gurney. Oikos. 65(2). 336–336. 7 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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