Danielle Florens-Zmirou

821 citations
7 papers · 504 indexed · h-index 6
Topics
Geometric Analysis and Curvature Flows (3 papers)Geometry and complex manifolds (3 papers)Advanced Neuroimaging Techniques and Applications (3 papers)
Partner nations
FranceMorocco

In The Last Decade

Danielle Florens-Zmirou

7 papers receiving 453 citations

Peers

Danielle Florens-Zmirou
Comparison fields: 5 of 62
  • Finance 383
  • Statistics and Probability 216
  • Economics and Econometrics 79
  • Mathematical Physics 58
  • Artificial Intelligence 55
Replace Arnaud Gloter with:
Arnaud Gloter France
Marek Kanter United States
Hongwei Long United States
Masayuki Uchida Japan
Yu. A. Davydov France
Éric Fournié Germany
Arturo Kohatsu‐Higa Japan
Dominique Lépingle France
V. Bally France
Marina Kleptsyna France
Danielle Florens-Zmirou relative to Arnaud Gloter France Arnaud Gloter's profile →
Citations per field
00.5×1.5×
Arnaud Gloter · 1×
Citations per year

Countries citing papers authored by Danielle Florens-Zmirou

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Florens-Zmirou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Florens-Zmirou. 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 Danielle Florens-Zmirou. The network helps show where Danielle Florens-Zmirou may publish in the future.

Co-authorship network of co-authors of Danielle Florens-Zmirou

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 23
2 162
3 6
4 158
5
Statistiques de diffusions et temps local
2
6 5
7 148

About Danielle Florens-Zmirou

Danielle Florens-Zmirou is a scholar working on Geometry and Topology, Applied Mathematics and Mathematical Physics, having authored 7 papers that have together received 504 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (3 papers), Geometry and complex manifolds (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Finance (383 citations), Statistics and Probability (216 citations) and Modeling and Simulation (33 citations). Danielle Florens-Zmirou has collaborated with scholars based in France and Morocco. Frequent co-authors include Didier Dacunha‐Castelle. Their work appears in journals such as Probability Theory and Related Fields, Journal of Applied Probability and Stochastic Processes and their Applications.

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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