M. Viot

1.4k citations
18 papers · 836 · h-index 8

Impact in

Papers in

M. Viot

15 papers receiving 747 citations

Peers

M. Viot
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 519
  • Industrial and Manufacturing Engineering 180
  • Hardware and Architecture 107
  • Management Information Systems 116
  • Mathematical Physics 92
Replace Micha Hofri with:
Micha Hofri Israel
Jean Mairesse France
Guy Fayolle France
П. Д. Финч Australia
Gerard Hooghiemstra Netherlands
R. Schaßberger Germany
Jeffrey J. Hunter New Zealand
H. Richard Gail United States
Joaquim Gabarró Spain
Sebastian Pokutta United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Viot

Since Specialization
Citations

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

Fields of papers citing papers by M. Viot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M. Viot, 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 M. Viot Line = papers co-authored together M. Viot links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1985346
2 1989221
3
1979112
4 198454
5 197533
6 200329
7 198611
8 20059
9 20027
10 20084
11 19732
12 19682
13
Asymptotically optimal filtering in linear systems with fractional Brownian noises
20042
14 20082
15 20101
16
Équations aux dérivées partielles stochastiques : formulation faible
19751
17
About the linear-quadratic regulator problem under a fractional Brownian perturbation and complete observation
20010
18 19810

About M. Viot

M. Viot is a scholar working on Finance, Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering and Management Science and Operations Research, having authored 18 papers that have together received 836 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Petri Nets in System Modeling (4 papers), Advanced Control Systems Optimization (3 papers), Economic theories and models (3 papers), Distributed systems and fault tolerance (2 papers), Statistical and numerical algorithms (2 papers), Formal Methods in Verification (2 papers) and Risk and Portfolio Optimization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (519 citations), Industrial and Manufacturing Engineering (180 citations), Hardware and Architecture (107 citations), Management Information Systems (116 citations) and Mathematical Physics (92 citations). M. Viot has collaborated with scholars based in France, Russia and Austria. Frequent co-authors include Jean-Pierre Quadrat, Guy Cohen, D. Dubois, P. Moller, Wendell H. Fleming, Marina Kleptsyna, Alain Breton, Alain Bensoussan and Maurice Goursat. Their work appears in journals such as ESAIM Probability and Statistics, IEEE Transactions on Automatic Control, Indiana University Mathematics Journal, SIAM Journal on Control and Optimization and Proceedings of the IEEE.

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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