Mikhail Lifshits

2.0k total citations
100 papers, 1.0k citations indexed

About

Mikhail Lifshits is a scholar working on Mathematical Physics, Finance and Statistics and Probability. According to data from OpenAlex, Mikhail Lifshits has authored 100 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Mathematical Physics, 36 papers in Finance and 21 papers in Statistics and Probability. Recurrent topics in Mikhail Lifshits's work include Stochastic processes and financial applications (32 papers), Stochastic processes and statistical mechanics (24 papers) and advanced mathematical theories (15 papers). Mikhail Lifshits is often cited by papers focused on Stochastic processes and financial applications (32 papers), Stochastic processes and statistical mechanics (24 papers) and advanced mathematical theories (15 papers). Mikhail Lifshits collaborates with scholars based in Russia, France and Germany. Mikhail Lifshits's co-authors include Werner Linde, И. А. Ибрагимов, Yu. I. Davydov, Zhan Shi, Frank Aurzada, Serge Cohen, Michel Weber, Shi Zhan, Anargyros Papageorgiou and H. Woźniakowski and has published in prestigious journals such as Communications on Pure and Applied Mathematics, Transactions of the American Mathematical Society and Journal of Economic Dynamics and Control.

In The Last Decade

Mikhail Lifshits

89 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Lifshits Russia 14 414 406 251 216 161 100 1.0k
Wenbo V. Li United States 15 372 0.9× 313 0.8× 171 0.7× 122 0.6× 72 0.4× 44 672
Michel Ledoux France 3 231 0.6× 304 0.7× 277 1.1× 206 1.0× 76 0.5× 5 900
Michael B. Marcus United States 22 560 1.4× 628 1.5× 324 1.3× 324 1.5× 93 0.6× 86 1.4k
V. Bentkus Lithuania 16 186 0.4× 309 0.8× 438 1.7× 193 0.9× 102 0.6× 74 978
Christian Houdré United States 16 236 0.6× 226 0.6× 257 1.0× 312 1.4× 49 0.3× 86 839
Yu. V. Prokhorov Russia 11 261 0.6× 357 0.9× 222 0.9× 167 0.8× 74 0.5× 38 956
Werner Linde Germany 11 285 0.7× 286 0.7× 135 0.5× 157 0.7× 80 0.5× 43 659
Emmanuel Rio France 20 492 1.2× 408 1.0× 732 2.9× 197 0.9× 115 0.7× 50 1.4k
Jérôme Dedecker France 16 521 1.3× 579 1.4× 513 2.0× 151 0.7× 72 0.4× 70 1.2k
J. Hoffmann-Jørgensen Denmark 13 244 0.6× 418 1.0× 279 1.1× 271 1.3× 60 0.4× 29 909

Countries citing papers authored by Mikhail Lifshits

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Lifshits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Lifshits

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

All Works

20 of 20 papers shown
1.
Aurzada, Frank, Volker Betz, & Mikhail Lifshits. (2023). Scaling limit of stretched Brownian chains. Journal of Physics A Mathematical and Theoretical. 56(43). 435006–435006.
2.
Meister, David, Frank Aurzada, Mikhail Lifshits, & Frank Allgöwer. (2022). Analysis of Time- versus Event-Triggered Consensus for a Single-Integrator Multi-Agent System. 2022 IEEE 61st Conference on Decision and Control (CDC). 441–446. 4 indexed citations
3.
Lifshits, Mikhail, et al.. (2021). Boolean Spectral Analysis in Categorical Reservoir Modeling. Mathematical Geosciences. 53(3). 305–324. 1 indexed citations
4.
Aurzada, Frank, Volker Betz, & Mikhail Lifshits. (2021). Breaking a Chain of Interacting Brownian Particles: A Gumbel Limit Theorem. Theory of Probability and Its Applications. 66(2). 184–208. 2 indexed citations
5.
Lifshits, Mikhail, et al.. (2020). A New Type of Conditioning of Stationary Fields and Its Application to the Spectral Simulation Approach in Geostatistics. Mathematical Geosciences. 53(4). 597–621. 1 indexed citations
6.
Lifshits, Mikhail, et al.. (2015). Approximation of additive random fields based on standard information: Average case and probabilistic settings. Journal of Complexity. 31(5). 659–674. 11 indexed citations
7.
Lifshits, Mikhail, et al.. (2015). Bifractional Brownian motion: existence and border cases. ESAIM Probability and Statistics. 19. 766–781. 9 indexed citations
8.
Aurzada, Frank, Steffen Dereich, & Mikhail Lifshits. (2014). PERSISTENCE PROBABILITIES FOR A BRIDGE OF AN INTEGRATED SIMPLE RANDOM WALK. 34(1). 1–22. 1 indexed citations
9.
Lifshits, Mikhail, et al.. (2014). Energy of taut strings accompanying Wiener process. Stochastic Processes and their Applications. 125(2). 401–427. 6 indexed citations
10.
Lifshits, Mikhail, Anargyros Papageorgiou, & H. Woźniakowski. (2012). Average case tractability of non-homogeneous tensor product problems. Journal of Complexity. 28(5-6). 539–561. 22 indexed citations
11.
Lifshits, Mikhail. (2011). Bounds for entropy numbers for some critical operators. Transactions of the American Mathematical Society. 364(4). 1797–1813. 10 indexed citations
12.
Aurzada, Frank & Mikhail Lifshits. (2008). Small deviation probability via chaining. Stochastic Processes and their Applications. 118(12). 2344–2368. 9 indexed citations
13.
Lifshits, Mikhail, et al.. (2007). Approximation complexity of additive random fields. Journal of Complexity. 24(3). 362–379. 11 indexed citations
14.
Lifshits, Mikhail, et al.. (2006). Curse of dimensionality in approximation of random fields. 12 indexed citations
15.
Lifshits, Mikhail & Shi Zhan. (2004). Lower Functions ofEmpirical Processes and Brownian Sheets. Theory of Probability and Its Applications. 48(2). 273–287. 1 indexed citations
16.
Lifshits, Mikhail, Alexander I. Nazarov, & Ya. Yu. Nikitin. (2003). Tail behavior of anisotropic norms for Gaussian random fields. Comptes Rendus Mathématique. 336(1). 85–88. 10 indexed citations
17.
Linde, Werner, et al.. (1999). Metric Entropy of Integration Operators and Small Ball Probabilities for the Brownian Sheet. Journal of Approximation Theory. 101(1). 63–77. 17 indexed citations
18.
Davydov, Yu. I., et al.. (1998). Local Properties of Distributions of Stochastic Functionals. Translations of mathematical monographs. 79 indexed citations
19.
Lifshits, Mikhail. (1994). Tail probabilities of Gaussian suprema and Laplace transform. Annales De L Institut Henri Poincare-probabilites Et Statistiques. 30(2). 163–179. 3 indexed citations
20.
Lifshits, Mikhail. (1985). Invariant measures generated by random fields with independent values. Functional Analysis and Its Applications. 19(4). 329–330. 8 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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