| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 701 | 5 | 7 | 3 |
The aim of Journal of Information and Optimization Sciences is to expand the discussion of research in Mathematical optimization, Combinatorics, Discrete mathematics, Operations research and Operations management. While Mathematical optimization is the focus of the journal, it also provided insights into the studies of Function (mathematics) and Algorithm.
The most cited publications focus on Mathematical optimization, Algorithm, Discrete mathematics, Fractional programming and Type (model theory). The majority of Mathematical optimization studies in the published articles are focused on the issues of Goal programming. While work presented in the most cited papers provide substantial information on Algorithm, it also covers topics in Quality (business), Maximization and Diversity (business).
The journal mainly tackles studies in Mathematical optimization, Combinatorics, Pure mathematics, Discrete mathematics and Operations research. Linear programming is a major topic of Mathematical optimization research presented in the journal. The research on Combinatorics discussed in it draws on the closely related field of Polynomial.
While the journal focused on Pure mathematics, it was also able to explore topics like Fuzzy logic and Regular polygon. The journal connects the study in Discrete mathematics with the closely related area of Graph (abstract data type). The work on Operations research tackled in it brings together disciplines like Data envelopment analysis and Process (engineering).
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 Information and Optimization Sciences (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 Journal of Information and Optimization Sciences (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, 7.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.47% of all publications and 60.53% 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.
Muhammad Irfan Ali;Nayyar Mehmood;Jianming Zhan;Nasir Shah
(2020)Murat Cancan;Muhammad Naeem;Aneela Aslam;Wei Gao
(2020)Murat Cancan;Muhammad Naeem;Abdul Qudair Baig;Wei Gao
(2020)M. R. Ghorbani;M. M. Hosseini;B. Davvaz
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