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Pacific Journal of Optimization
H-index 2

Pacific Journal of Optimization

1348-9151

Published by: Yokohama Publishers

http://www.ybook.co.jp/pjo.html

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 732 8 7 2

Additional Metrics

Number of Best Scientists*: 12
Documents by Best Scientists*: 11
Top 100 Ranked Scientists*: 0
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Overview

Top Research Topics at Pacific Journal of Optimization?

The objective of the journal is to combine knowledge in the areas of Mathematical optimization, Applied mathematics, Combinatorics, Mathematical analysis and Control theory. While Mathematical optimization is the focus of it, it also provided insights into the studies of Numerical analysis and Complementarity (physics). Mixed complementarity problem and Complementarity theory are all disciplines of Complementarity (physics) that connect with topics in New class and Smoothing.

Topics in Applied mathematics were tackled in line with various other fields like Discrete mathematics, Conic optimization and Convex optimization. The journal explores research in Combinatorics and the adjacent study of Bounded function. The studies tackled, which mainly focus on Mathematical analysis, apply to Eigenvalues and eigenvectors as well.

Research on Control theory presented in the journal focuses, in particular, on Nonlinear system and Control system. Pacific Journal of Optimization explores research in Quadratic programming alongside concepts in Binary number and other areas of study in Relaxation (approximation). It investigates Optimization problem research which frequently intersects with Function (mathematics).

  • Mathematical optimization (32.11%)
  • Applied mathematics (21.10%)
  • Combinatorics (11.01%)

What are the most cited papers published in the journal?

  • Sparse and low-rank matrix decomposition via alternating direction method (263 citations)
  • A Parallel Inertial Proximal Optimization Method (119 citations)
  • Strong convergence of an iterative method for hierarchical fixed point problems (100 citations)

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

The most cited publications generally zeroe in on subjects such as Mathematical optimization, Applied mathematics, Complementarity theory, Combinatorics and Iterative method. The journal articles facilitate discussions in Minification as part of the larger field of Mathematical optimization, however, they also tackle fields such as Key (cryptography). The most cited articles facilitate discussions on Combinatorics that incorporate concepts from other fields like Mixed complementarity problem and Interior point method.

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 Pacific Journal of Optimization (based on the number of publications) are:

  • Jie Sun (7 papers) absent at the last edition,
  • Louis Caccetta (6 papers) absent at the last edition,
  • Kok Lay Teo (6 papers) absent at the last edition,
  • Liqun Qi (5 papers) absent at the last edition,
  • Masakazu Kojima (5 papers) published 1 paper 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 Pacific Journal of Optimization (based on the number of publications) are:

  • Hong Kong Polytechnic University (10 papers) absent at the last edition,
  • Curtin University (4 papers) absent at the last edition,
  • Tokyo Institute of Technology (3 papers) absent at the last edition,
  • The Chinese University of Hong Kong (3 papers) absent at the last edition,
  • South China University of Technology (2 papers) absent 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 2020 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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

  • LAGRANGIAN-CONIC RELAXATIONS, PART II: APPLICATIONS TO POLYNOMIAL OPTIMIZATION PROBLEMS

    Naohiko Arima;Sunyoung Kim;Masakazu Kojima;Kim-Chuan Toh

    (2020)
    10 Citations
  • Beyond Monotone Variational Inequalities: Solution Methods and Iteration Complexities

    (2023)
    4 Citations
  • Improving Generalization via Coupled Tensor Norm Regularization

    (2024)
    0 Citations
  • Newton’s Method in Three Precisions

    (2023)
    0 Citations
  • fficient Regularized Proximal Quasi-Newton Methods for Large-Scale Nonconvex Composite Optimization Problems

    (2023)
    0 Citations
  • The Box Convolution and the Dilworth Truncation of Bisubmodular Functions

    (2023)
    0 Citations
  • Convergence Analysis of Four Interior Point Continuous Trajectories for Convex Semidefinite Programming

    (2024)
    0 Citations

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Best Scientists Contributing to This Journal

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