Florian Simatos

485 citations
39 papers · 258 · h-index 11

Impact in

Papers in

Florian Simatos

36 papers receiving 256 citations

Peers

Florian Simatos
Comparison fields: 5 of 51
  • Mathematical Physics 70
  • Management Information Systems 47
  • Statistics, Probability and Uncertainty 35
  • Statistics and Probability 33
  • Finance 39
Replace Benoîte de Saporta with:
Benoîte de Saporta France
Natalia M. Markovich Russia
V. S. Korolyuk Ukraine
Stella Kapodistria Netherlands
Peter Purdue United States
В. С. Королюк Ukraine
Leonardo Rojas‐Nandayapa Australia
Qingshuo Song United States
Yu. V. Prohorov Russia
Gheorghe Oprişan Romania
Florian Simatos relative to Benoîte de Saporta France Benoîte de Saporta's profile →
Citations per field
00.5×6.5×
Benoîte de Saporta · 1×
Citations per year

Countries citing papers authored by Florian Simatos

Since Specialization
Citations

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

Fields of papers citing papers by Florian Simatos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Florian Simatos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Simatos Line = papers co-authored together Florian Simatos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202326
2 202123
3 201320
4 201520
5 201016
6 200814
7 201013
8 201012
9 201811
10 201011
11 201310
12 20108
13 20207
14 20176
15 20106
16 20086
17 20125
18 20145
19 20144
20 20124

About Florian Simatos

Florian Simatos is a scholar working on Computer Networks and Communications, Mathematical Physics, Statistics and Probability, Electrical and Electronic Engineering and Management Information Systems, having authored 39 papers that have together received 258 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (12 papers), Advanced Queuing Theory Analysis (8 papers), Advanced Wireless Network Optimization (7 papers), Markov Chains and Monte Carlo Methods (6 papers), Peer-to-Peer Network Technologies (5 papers), Theoretical and Computational Physics (5 papers), Mobile Ad Hoc Networks (5 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Mathematical Physics (70 citations), Management Information Systems (47 citations), Statistics, Probability and Uncertainty (35 citations), Statistics and Probability (33 citations) and Finance (39 citations). Florian Simatos has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Philippe Robert, Amaury Lambert, Jérôme Morio, Vincent Bansaye, D. Manjunath, Bert Zwart, Fabrice Guillemin, Alexandre Proutière, Nicolas Gourdain and Jérôme Fontane. Their work appears in journals such as Queueing Systems, Advances in Applied Probability, ACM SIGMETRICS Performance Evaluation Review, The Annals of Applied Probability and Reliability Engineering & System Safety.

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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