World's Best Scientists 2026 revealed!
ESAIM - Control, Optimisation and Calculus of Variations
H-index 16

ESAIM - Control, Optimisation and Calculus of Variations

1292-8119

Published by: EDP Sciences

https://www.esaim-cocv.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 133 72 94 15
Electronics and Electrical Engineering 442 15 19 5
Engineering and Technology 943 19 34 8

Additional Metrics

Number of Best Scientists*: 90
Documents by Best Scientists*: 114
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 69
SCIMAGO SJR: 0.986
Impact Factor: 1.2

Overview

Top Research Topics at ESAIM: Control, Optimisation and Calculus of Variations?

The journal primarily focuses on research topics in Mathematical analysis, Applied mathematics, Optimal control, Controllability and Pure mathematics. The studies in Mathematical analysis featured incorporate elements of Boundary (topology) and Nonlinear system. The discussions emphasized the topic of Nonlinear system in an attempt to further explore the field of Control theory.

ESAIM: Control, Optimisation and Calculus of Variations addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Stochastic control and Uniqueness. Topics in Optimal control explored in the journal were investigated in conjunction with research in State (functional analysis) and Bellman equation. The journal links adjacent topics like Bellman equation with Viscosity solution.

ESAIM: Control, Optimisation and Calculus of Variations holds forums on Controllability that merges themes from other disciplines such as Null (mathematics) and Observability. The study on Pure mathematics presented in ESAIM: Control, Optimisation and Calculus of Variations intersects with subjects under the field of Function (mathematics). The studies tackled, which mainly focus on Bounded function, apply to Domain (mathematical analysis) as well.

  • Mathematical analysis (48.64%)
  • Applied mathematics (21.46%)
  • Optimal control (16.72%)

What are the most cited papers published in the journal?

  • An algebraic framework for linear identification (397 citations)
  • SPATIALLY-DISTRIBUTED COVERAGE OPTIMIZATION AND CONTROL WITH LIMITED-RANGE INTERACTIONS (382 citations)
  • A Level-set Approach Inverse Problems Involving Obstacles (377 citations)

Research areas of the most cited articles at ESAIM: Control, Optimisation and Calculus of Variations:

The published papers cover a variety of subjects, including Mathematical analysis, Control theory, Nonlinear system, Controllability and Applied mathematics. The journal papers address concerns in Mathematical analysis which are intertwined with other disciplines, such as Boundary (topology) and Pure mathematics. The journal publications focus on Applied mathematics but the discussions also offer insight into other areas such as Calculus, Uniqueness and Optimal control.

What topics the last edition of the journal is best known for?

  • Quantum mechanics
  • Mathematical analysis
  • Geometry

The previous edition focused in particular on these issues:

The main research concerns discussed in ESAIM: Control, Optimisation and Calculus of Variations are Applied mathematics, Optimal control, Mathematical analysis, Pure mathematics and Boundary (topology). Applied mathematics research in the journal involves the investigation of State (functional analysis) studies, all of which are linked to disciplines such as Pointwise and Boundary value problem. The Optimal control research presented in the journal explores the relationship between Parabolic partial differential equation and the closely related topic of Heat equation.

While it focused on Mathematical analysis, it was also able to explore topics like Controllability, Exponential stability and Eigenfunction. ESAIM: Control, Optimisation and Calculus of Variations facilitates discussions on Controllability that incorporate concepts from other fields like Observability, Null (mathematics), Wave equation and Constant (mathematics). Issues in Pure mathematics were discussed, taking into consideration concepts from other disciplines like Space (mathematics), Bounded function and Type (model theory).

The most cited articles from the last journal are:

  • A consensus-based global optimization method for high dimensional machine learning problems (25 citations)
  • Semiglobal optimal feedback stabilization of autonomous systems via deep neural network approximation (14 citations)
  • Numerical reconstruction based on Carleman estimates of a source term in a reaction-diffusion equation. (6 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in ESAIM: Control, Optimisation and Calculus of Variations (based on the number of publications) are:

  • Karl Kunisch (19 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Eduardo Casas (13 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Enrique Fernández-Cara (11 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jean-Pierre Raymond (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Fredi Tröltzsch (9 papers) published 3 papers at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in ESAIM: Control, Optimisation and Calculus of Variations (based on the number of publications) are:

  • University of Paris (44 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • École Polytechnique (33 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Shandong University (31 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • International School for Advanced Studies (31 papers) published 1 paper at the last edition the same number as at the previous edition,
  • French Institute for Research in Computer Science and Automation (30 papers) published 1 paper at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.97% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 48.39% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • A consensus-based global optimization method for high dimensional machine learning problems

    José A. Carrillo;Shi Jin;Lei Li;Yuhua Zhu

    (2021)
    107 Citations
  • Multiplicity-induced-dominancy in parametric second-order delay differential equations: Analysis and application in control design

    Islam Boussaada;Silviu-Iulian Niculescu;Ali El-Ati;Redamy Pérez-Ramos

    (2020)
    70 Citations
  • Semiglobal optimal feedback stabilization of autonomous systems via deep neural network approximation

    Karl Kunisch;Karl Kunisch;Daniel Walter

    (2021)
    49 Citations
  • Time-Inconsistent Stochastic Optimal Control Problems and Backward Stochastic Volterra Integral Equations

    Hanxiao Wang;Jiongmin Yong

    (2021)
    36 Citations
  • Null space gradient flows for constrained optimization with applications to shape optimization

    Florian Feppon;Grégoire Allaire;Charles Dapogny

    (2020)
    33 Citations
  • A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems

    Son L. Nguyen;Dung T. Nguyen;George Yin

    (2020)
    25 Citations
  • Energy scaling laws for geometrically linear elasticity models for microstructures in shape memory alloys

    Sergio Conti;Johannes Diermeier;David Melching;Barbara Zwicknagl

    (2020)
    23 Citations
  • The cost of controlling strongly degenerate parabolic equations

    Piermarco Cannarsa;Patrick Martinez;Judith Vancostenoble

    (2020)
    22 Citations

Related Online Degrees & Career Pathways

For students interested in broadening their career opportunities beyond pure mathematics, there are diverse online degree options that complement analytical skills. Business professionals often look for programs like the mba under 30k, which provide essential leadership and strategic knowledge without a hefty price tag.

Marketing enthusiasts with a mathematical background might consider a social media marketing university program. This offers cutting-edge digital marketing skills crucial for data-driven campaign management.

Alternatively, those looking to enter management roles in hospitality can benefit from fast-track options like the online hospitality management program. Such programs emphasize operational efficiency and customer analytics.

For career changers seeking flexibility, many turn to affordable online mba programs no gmat, removing testing barriers and streamlining access to graduate education.

Exploring these affordable and specialized online degrees can open doors to diverse career paths, all enhanced by the analytical foundation provided by a mathematics education in the USA.

Best Scientists Contributing to This Journal

Recently Published Articles