The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Michael Chertkov sits on this spectrum.
This scientist: 278 publications — 82nd percentile
82% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Chertkov sits on this spectrum.
This scientist: 51 D-Index — 73rd percentile
73% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Michael Chertkov is affiliated with the University of Arizona in the United States. Their research primarily spans the field of Engineering, with a particular focus on Electrical and Electronic Engineering, Computational Mechanics, Statistical and Nonlinear Physics, Artificial Intelligence, and Computer Vision and Pattern Recognition.
Their scientific work covers a range of topics, notably Model Reduction and Neural Networks, Fluid Dynamics and Turbulent Flows, Power System Optimization and Stability, Smart Grid Energy Management, Optimal Power Flow Distribution, Fluid Dynamics and Vibration Analysis, and Integrated Energy Systems Optimization.
Several recent papers highlight their contributions to these areas. Notable publications include:
Michael Chertkov has frequently collaborated with several coauthors. These include:
Their publications appear with higher frequency in venues such as arXiv (Cornell University), Physical Review Fluids, Proceedings of the IEEE, IEEE Access, and Physical Review E.
In addition to journal articles, Michael Chertkov has contributed to book publications, with a recent example titled Principles and Methods of Applied Mathematics, published by World Scientific in 2024.
Florian Dörfler;Michael Chertkov;Francesco Bullo
Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov
Daniel Bienstock;Michael Chertkov;Sean Harnett
Petr Sulc;Konstantin Turitsyn;Scott Backhaus;Michael Chertkov
Anatoly Zlotnik;Line Roald;Scott Backhaus;Michael Chertkov
Petr Šulc;Scott Backhaus;Michael Chertkov
M. Chertkov;G. Falkovich;I. Kolokolov;V. Lebedev
Michael Chertkov;Alain Pumir;Boris I. Shraiman
Florian Dorfler;Mihailo R. Jovanovic;Michael Chertkov;Francesco Bullo
Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov
Deepjyoti Deka;Scott Backhaus;Michael Chertkov
Elisa Guelpa;Aldo Bischi;Vittorio Verda;Michael Chertkov;Michael Chertkov
Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov
Vladimir Y Chernyak;Michael Chertkov;Christopher Jarzynski
M. Chertkov;C. Connaughton;I. Kolokolov;I. Kolokolov;V. Lebedev;V. Lebedev
Michael Chertkov;Vladimir Y Chernyak
M. Chertkov;G. Falkovich
Wenting Li;Deepjyoti Deka;Michael Chertkov;Meng Wang
M. Chertkov;G. Falkovich;I. Kolokolov;V. Lebedev
Konstantin S. Turitsyn;Konstantin S. Turitsyn;Michael Chertkov;Michael Chertkov;Marija Vucelja;Marija Vucelja
E. Balkovsky;M. Chertkov;I. Kolokolov;V. Lebedev
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA opens doors to various interdisciplinary fields. For those interested in combining quantitative skills with business acumen, pursuing an online MBA with transfer credits accepted offers flexibility and credit recognition, accelerating career advancement. This pathway is especially attractive to professionals seeking to integrate mathematical analysis with leadership roles.
Another growing field is data science and analytics, where a strong mathematical foundation is essential. Earning an MS in data analytics equips students with skills to interpret complex datasets, a crucial asset in today’s data-driven economy. This degree complements a mathematics background and enhances employability across industries.
For those prioritizing accessibility and ease of admission, exploring the easiest MBA program to get into can be a strategic choice. These programs are designed to accommodate a wide range of applicants while maintaining quality education, offering a practical route for career growth.
Similarly, opting for the easiest online MBA can provide flexibility for working professionals who want to balance studies with other responsibilities. This pathway is ideal for math graduates seeking to combine their analytical skills with business expertise in a convenient format.
University of Tokyo
National Institute for Materials Science
Agricultural Research Service
University of Queensland
Met Office
Howard Hughes Medical Institute
University of Missouri
University of Manchester
Federal University of Rio Grande do Sul
University of Waterloo
Institute of Vertebrate Paleontology and Paleoanthropology
North Carolina State University
Dalian University of Technology
University of Naples Federico II
Aarhus University
Scripps Institution of Oceanography
