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Journal of Global Optimization
H-index 17

Journal of Global Optimization

0925-5001

Published by: Springer

https://www.springer.com/journal/10898

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 130 78 133 15
Computer Science 480 57 76 12
Engineering and Technology 694 36 57 12

Additional Metrics

Number of Best Scientists*: 134
Documents by Best Scientists*: 178
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 102
SCIMAGO SJR: 0.807
Impact Factor: 1.7

Overview

Top Research Topics at Journal of Global Optimization?

Journal of Global Optimization facilitates discussions on Mathematical optimization, Global optimization, Algorithm, Applied mathematics and Optimization problem. It features studies on Mathematical optimization, including topics such as Branch and bound. Global optimization research presented in the journal encompasses a variety of subjects, including Maxima and minima, Minification, Regular polygon, Nonlinear system and Point (geometry).

The journal focuses on Regular polygon research which is adjacent to topics in Combinatorics. The study on Applied mathematics presented is investigated in conjunction with research in Mathematical analysis. The journal connects the study in Mathematical analysis with the closely related area of Pure mathematics.

  • Mathematical optimization (52.24%)
  • Global optimization (22.97%)
  • Algorithm (14.00%)

What are the most cited papers published in the journal?

  • Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces (18509 citations)
  • Efficient Global Optimization of Expensive Black-Box Functions (4754 citations)
  • A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (4720 citations)

Research areas of the most cited articles at Journal of Global Optimization:

The most cited publications primarily focus on research topics in Mathematical optimization, Global optimization, Algorithm, Optimization problem and Combinatorics. While the most cited papers focused on Mathematical optimization, they were also able to explore topics like Function (mathematics), Convergence (routing) and Nonlinear programming. The studies on Global optimization discussed at the published papers can also contribute to research in the domains of Simulated annealing, Minification, Maxima and minima, Nonlinear system and Continuous optimization.

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

  • Statistics
  • Artificial intelligence
  • Mathematical optimization

The previous edition focused in particular on these issues:

The journal investigates areas of study like Mathematical optimization, Applied mathematics, Optimization problem, Regular polygon and Global optimization. It explores issues in Mathematical optimization which can be linked to other research areas like Set (abstract data type) and Constraint (information theory). The Applied mathematics works featured in Journal of Global Optimization incorporate elements from Function (mathematics), Convergence (routing), Quadratic equation and Quadratic programming.

It tackles studies in Integer programming and the interrelated subject of Linear programming to gain insights into Optimization problem. The work on Regular polygon tackled in the journal brings together disciplines like Relaxation (approximation), Linearization, Nonlinear system, Combinatorics and Algorithm. The work tackled in the journal goes beyond the discipline of Global optimization as it also encompasses Branch and bound.

The most cited articles from the last journal are:

  • On the search of the shape parameter in radial basis functions using univariate global optimization methods (23 citations)
  • Optimal decision trees for categorical data via integer programming (17 citations)
  • Sequential model based optimization of partially defined functions under unknown constraints (15 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 Journal of Global Optimization (based on the number of publications) are:

  • Panos M. Pardalos (59 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Christodoulos A. Floudas (33 papers) absent at the last edition,
  • Jen-Chih Yao (29 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Xiaoqi Yang (27 papers) published 1 paper at the last edition,
  • Kok Lay Teo (26 papers) absent 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 Journal of Global Optimization (based on the number of publications) are:

  • University of Florida (95 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Hong Kong Polytechnic University (67 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Chinese Academy of Sciences (43 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Imperial College London (42 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Princeton University (39 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, 6.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.98% of all publications and 66.67% 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

  • On the search of the shape parameter in radial basis functions using univariate global optimization methods

    R. Cavoretto;A. De Rossi;M. S. Mukhametzhanov;Ya. D. Sergeyev

    (2021)
    100 Citations
  • Optimal decision trees for categorical data via integer programming

    Oktay Günlük;Jayant Kalagnanam;Minhan Li;Matt Menickelly

    (2021)
    75 Citations
  • Solving k-center problems involving sets based on optimization techniques

    Nguyen Thai An;Nguyen Thai An;Nguyen Mau Nam;Xiaolong Qin;Xiaolong Qin;Xiaolong Qin

    (2020)
    41 Citations
  • A Gauss–Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems

    Xue Gao;Xingju Cai;Deren Han

    (2020)
    33 Citations
  • DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems

    Burcu Beykal;Styliani Avraamidou;Ioannis P E Pistikopoulos;Melis Onel

    (2020)
    32 Citations
  • Subset Selection for Multiple Linear Regression via Optimization

    Young Woong Park;Diego Klabjan

    (2020)
    31 Citations
  • An optimization approach to solving the split feasibility problem in Hilbert spaces

    Simeon Reich;Truong Minh Tuyen;Mai Thi Ngoc Ha

    (2021)
    30 Citations
  • Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems

    Zhongming Wu;Chongshou Li;Min Li;Andrew Lim

    (2021)
    27 Citations

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