| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 84 | 69 | 113 | 19 |
| Engineering and Technology | 690 | 41 | 56 | 12 |
Optimization Letters primarily tackles Computational intelligence, Mathematical optimization, Applied mathematics, Combinatorics and Discrete mathematics. While Optimization Letters focused on Computational intelligence, it was also able to explore topics like Convergence (routing), Set (abstract data type), Function (mathematics), Algorithm and Scheduling (computing). The Mathematical optimization study tackled is a key component of adjacent topics in the area of Job shop scheduling.
The studies tackled, which mainly focus on Applied mathematics, apply to Mathematical analysis as well.
The published papers investigate areas of study like Mathematical optimization, Computational intelligence, Algorithm, Discrete mathematics and Mathematical analysis. The works on Mathematical optimization tackled in the published papers bring together disciplines like Nonlinear programming, Set (abstract data type) and Benchmark (computing). In addition to Computational intelligence research, the journal papers aim to explore topics under Global optimization, Convergence (routing), Vehicle routing problem, Integer programming and Operations research.
Optimization Letters investigates areas of study like Computational intelligence, Mathematical optimization, Applied mathematics, Set (abstract data type) and Optimization problem. While Computational intelligence is the focus of the journal, it also provided insights into the studies of Minification, Constraint (information theory), Algorithm, Job shop scheduling and Operations research. Mathematical optimization research featured in Optimization Letters incorporates concerns from various other topics such as Path (graph theory) and Integer (computer science).
The journal explores issues in Applied mathematics which can be linked to other research areas like Convergence (routing), Rate of convergence, Solution set, Hilbert space and Lipschitz continuity. The Convergence (routing) works featured in it incorporate elements from Variational inequality and Function (mathematics).
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 Optimization Letters (based on the number of publications) are:
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 Optimization Letters (based on the number of publications) are:
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.
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, 7.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.07% of all publications and 67.67% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Fengqiao Luo;Sanjay Mehrotra
(2020)Mauro Dell’Amico;Roberto Montemanni;Stefano Novellani
(2021)Yekini Shehu;Aviv Gibali
(2021)Simeon Reich;Minh Tuyen Truong;Thi Ngoc Ha Mai
(2020)Duong Viet Thong;Dang Van Hieu;Themistocles M. Rassias
(2020)Duong Viet Thong;Yeol Je Cho;Yeol Je Cho
(2020)Akshay Agrawal;Stephen P. Boyd
(2020)Qamrul Hasan Ansari;Qamrul Hasan Ansari;Feeroz Babu
(2021)Giorgio Zucchi;Manuel Iori;Anand Subramanian
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