Ernesto Estrada is a researcher affiliated with the University of Zaragoza in Spain. Their work spans primarily the fields of Physics and Astronomy and Computer Science, with a focus on interdisciplinary topics that incorporate statistical and nonlinear physics, computational theory and mathematics, geometry and topology, molecular biology, and computer networks and communications.
Their main research areas include complex network analysis techniques, graph theory and applications, opinion dynamics and social influence, topological and geometric data analysis, neural dynamics and brain function, SARS-CoV-2 and COVID-19 research, and computational drug discovery methods.
Estrada's frequent co-authors include Manuel Miranda, Paolo Bartesaghi, Fernando Diaz-Diaz, Mattia Frasca, and Jesús Gómez-Gardeñes.
They have published extensively in prominent venues. The most frequent publication venues include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Mathematics, Research Square, and Chaos An Interdisciplinary Journal of Nonlinear Science.
Selected recent papers by Ernesto Estrada include:
Ernesto Estrada has been recognized by awards such as being named a SIAM Fellow in 2019 for contributions to mathematical chemistry and network science, as well as membership in the Academia Europaea achieved in 2014.
Ernesto Estrada;Juan A. Rodríguez-Velázquez
Ernesto Estrada;Luis Torres;Lissette Rodriguez;Ivan Gutman
Ernesto Estrada;Naomichi Hatano
Ernesto Estrada
Ernesto Estrada;Eugenio Uriarte
Ernesto Estrada;Desmond J. Higham
Ernesto Estrada;Juan A. Rodríguez-Velázquez
Ernesto Estrada;Naomichi Hatano;Michele Benzi
Ernesto Estrada;Juan A. Rodríguez-Velázquez
Ernesto Estrada
Ernesto Estrada
Ernesto Estrada
Peter Grindrod;Mark C. Parsons;Desmond J. Higham;Ernesto Estrada
Ernesto Estrada;Naomichi Hatano
Ernesto Estrada
Ernesto Estrada
Ernesto Estrada
E. Estrada
Ernesto Estrada
Michele Benzi;Ernesto Estrada;Christine Klymko
Ernesto Estrada;Danail Bonchev
If you think any of the details on this page are incorrect, let us know.
Pursuing a Mathematics degree in the USA opens up diverse avenues, especially when combined with emerging fields like data science and business. Many students consider supplementing their studies with related online programs to enhance their career prospects.
For those interested in business leadership roles, exploring the online mba transfer credits options can be advantageous. This allows coursework from a Math degree to count towards an MBA, streamlining the education path.
Data analytics is another booming sector where mathematical skills are in high demand. Programs focused on data analysis programs offer practical experience in handling big data, a vital skill in many industries.
Moreover, some students may prioritize flexible admissions while pursuing an MBA. Checking out the easiest mba program to get into can help quickly advance credentials without compromising quality.
Along similar lines, the easiest mba programs offer a range of options designed for working professionals seeking career growth alongside their mathematical expertise.
King Saud University
Université Laval
Tufts University
Hokkaido University
Auburn University
Royal Institute of Technology
Institute of Plant Genetics and Crop Plant Research
Erasmus University Rotterdam
Technical University of Munich
KU Leuven
New York University
Tohoku University
Tokyo Medical and Dental University
University of Western Ontario
Emory University
University of Florida
