| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 212 | 16 | 36 | 15 |
| Mathematics | 253 | 20 | 27 | 11 |
| Engineering and Technology | 419 | 33 | 64 | 19 |
Computational intelligence, Mathematical optimization, Operations research, Supply chain and Econometrics are the subjects of interest in Operational Research. Research in Computational intelligence tackled falls within the umbrella of Artificial intelligence. Research on Artificial intelligence addressed in Operational Research frequently intersections with the field of Machine learning.
The studies on Mathematical optimization discussed can also contribute to research in the domains of Job shop scheduling and Benchmark (computing). Operations research research discussed connects with the study of Production (economics). Research on Supply chain presented in it focuses, in particular, on Supply chain network and Supply chain management.
The journal publications cover a variety of subjects, including Computational intelligence, Mathematical optimization, Operations research, Supply chain and Microeconomics. The journal articles tackle topics on Computational intelligence, which can potentially contribute to the wider field of Artificial intelligence. The journal articles focus on Mathematical optimization but the discussions also offer insight into other areas such as Vehicle routing problem and Nonlinear system.
The journal tackles a plethora of topics, such as Computational intelligence, Mathematical optimization, Operations research, Supply chain and Production (economics). Attendees of it participated in discussions that delve into both Computational intelligence and Basis (linear algebra). Operational Research holds forums on Mathematical optimization that merges themes from other disciplines such as Nonlinear programming and Benchmark (computing).
Operations research research in it involves the investigation of Process (engineering) studies, all of which are linked to disciplines such as Context (language use). The tackled Supply chain research is interrelated with Product (business) which concerns subjects like Profit (economics). Topics in Data envelopment analysis were tackled in line with various other fields like Ranking and Inefficiency.
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 Operational Research (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 Operational Research (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, 5.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 48.12% 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.
Yong He;Hongfu Huang;Dong Li
(2020)Unknown
(2022)Ilkyeong Moon;Yoon Jea Jeong;Subrata Saha
(2020)Chirantan Mondal;Bibhas C. Giri
(2020)M. Bagheri;A. Ebrahimnejad;S. Razavyan;F. Hosseinzadeh Lotfi
(2020)Meisam Nasrollahi;Jafar Razmi
(2021)Adil Baykasoğlu;İlker Gölcük
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