Evolution equations and control theory

3.1k citations
539 papers · · active since 1950

Impact in

Papers in

    • Advanced Mathematical Physics Problems 129
    • Numerical methods in inverse problems 82
    • Nonlinear Differential Equations Analysis 89
    • Navier-Stokes equation solutions 55
    • Nonlinear Partial Differential Equations 49

Evolution equations and control theory

443 papers receiving 2.9k citations

Peers

Evolution equations and control theory
Comparison fields: 5 of 81
  • Modeling and Simulation 692
  • Mathematical Physics 1.1k
  • Applied Mathematics 1.3k
  • Computational Theory and Mathematics 1.3k
  • Numerical Analysis 382
Replace Electronic Journal of Differential Equations with:
Electronic Journal of Differential Equations China
Milan Journal of Mathematics Italy
Mathematical Control and Related Fields France
Ricerche di Matematica Italy
Control and Cybernetics Poland
Networks and Heterogeneous Media France
Interfaces and Free Boundaries Mathematical Analysis Computation and Applications United States
Frontiers of Mathematics in China China
Analysis and Applications China
Russian Journal of Mathematical Physics Russia
Evolution equations and control theory relative to Electronic Journal of Differential Equations China Electronic Journal of Differential Equations's profile →
Citations per field
00.5×5.8×
Electronic Journal of Differential Equations · 1×
Citations per year

Countries where authors publish in Evolution equations and control theory

Since Specialization
Citations

This map shows the geographic impact of research published in Evolution equations and control theory. 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 papers published in Evolution equations and control theory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolution equations and control theory more than expected).

Fields of papers published in Evolution equations and control theory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Evolution equations and control theory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Evolution equations and control theory.

About Evolution equations and control theory

The 539 papers published in Evolution equations and control theory in the last decades have received a total of 3.1k indexed citations . Papers published in Evolution equations and control theory usually cover Mathematical Physics (219 papers), Applied Mathematics (201 papers), Modeling and Simulation (76 papers), Computational Theory and Mathematics (275 papers) and Control and Systems Engineering (317 papers) specifically the topics of Stability and Controllability of Differential Equations (307 papers), Advanced Mathematical Modeling in Engineering (231 papers), Advanced Mathematical Physics Problems (129 papers), Nonlinear Differential Equations Analysis (89 papers), Numerical methods in inverse problems (82 papers), Navier-Stokes equation solutions (55 papers), Fractional Differential Equations Solutions (55 papers) and Nonlinear Partial Differential Equations (49 papers). The most active scholars publishing in Evolution equations and control theory are Yong Zhou, Barbara Kaltenbacher, Jia Wei He, V. Vijayakumar, R. Murugesu, Vando Narciso, Roberto Triggiani, Manil T. Mohan, Xianlong Fu and Marta Pellicer.

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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