N. Kitanine is affiliated with the University of Burgundy in France. Their research spans several fields within physics and mathematics, focusing primarily on quantum many-body systems and algebraic structures.
Their recent published work includes:
The scientist frequently publishes in venues such as:
Coauthors who have collaborated multiple times with N. Kitanine include:
Kitanine's main fields of study are Physics and Astronomy, with a secondary emphasis on Mathematics. They have conducted research in several subfields including:
The primary topics covered by their work are:
N. Kitanine;J.M. Maillet;V. Terras
N. Kitanine;J. M. Maillet;V. Terras
N Kitanine;K K Kozlowski;J M Maillet;N A Slavnov
N. Kitanine;J.M. Maillet;N.A. Slavnov;V. Terras
N. Kitanine;K. K. Kozlowski;J. M. Maillet;N. A. Slavnov
N Kitanine;K K Kozlowski;J M Maillet;N A Slavnov
N Kitanine;K K Kozlowski;J M Maillet;N A Slavnov
S. Faldella;N. Kitanine;G. Niccoli
N. Kitanine;Jean Michel Maillet;N. A. Slavnov;Véronique Terras
N Kitanine;K K Kozlowski;J M Maillet;G Niccoli
N. Kitanine;J.M. Maillet;N.A. Slavnov;V. Terras
N. Kitanine;K. K. Kozlowski;J. M. Maillet;G. Niccoli
N. Kitanine;Jean Michel Maillet;N Slavnov;V. Terras;V. Terras
N.M. Bogoliubov;A.G. Izergin;N.A. Kitanine
N. Kitanine;Jean Michel Maillet;N Slavnov;V. Terras;V. Terras
N. Kitanine;J. M. Maillet;N. A. Slavnov;V. Terras
N. Kitanine;J.-M. Maillet;G. Niccoli
N. Kitanine;K. K. Kozlowski;J. M. Maillet;N. A. Slavnov
N. Kitanine;J.M. Maillet;N.A. Slavnov;V. Terras
N. Kitanine;K. K. Kozlowski;J. M. Maillet;N. A. Slavnov
N Kitanine;K K Kozlowski;J M Maillet;G Niccoli
If you think any of the details on this page are incorrect, let us know.
For students studying Mathematics in the USA, exploring related online degrees can open diverse career pathways. Many professionals complement their math background with business knowledge, making an online MBA accepting transfer credits an attractive option. This allows students to leverage prior coursework and finish their degree faster.
Data-driven fields are also thriving, and a masters data analytics program aligns perfectly with mathematical skills. This path offers expertise in interpreting complex datasets, a valuable asset across industries such as finance, healthcare, and technology.
For those seeking flexibility, understanding the variations among MBA programs can be helpful. The easiest MBA to get into might provide a practical stepping stone for career advancement without intense admission barriers. Meanwhile, identifying the easiest MBA program can help streamline study commitments alongside existing responsibilities.
Choosing the right online degree tailored to a math foundation enhances career flexibility, boosts earning potential, and equips graduates with critical interdisciplinary skills needed in today’s competitive job market.
Institut Laue-Langevin
Plant & Food Research
IBM (United States)
AZ Monica
University of Sydney
Nara Institute of Science and Technology
Public Health Foundation of India
University of California, San Diego
Harvard University
Curtin University
Asian Institute of Technology
Université Catholique de Louvain
Polytechnique Montréal
University of Colorado Boulder
University of Erlangen-Nuremberg
Harvard University
