0377-2217
Published by: Elsevier
https://www.journals.elsevier.com/european-journal-of-operational-research
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 11 | 152 | 360 | 36 |
| Business and Management | 17 | 102 | 321 | 47 |
| Engineering and Technology | 60 | 251 | 604 | 55 |
| Computer Science | 74 | 202 | 448 | 49 |
The objective of the journal is to combine knowledge in the areas of Mathematical optimization, Operations research, Algorithm, Scheduling (computing) and Econometrics. Mathematical optimization and Set (abstract data type) are closely related fields of research discussed in it. In the journal, Production (economics), Decision support system and Operations management are investigated in conjunction with one another to address concerns in Operations research research.
It connects the study in Scheduling (computing) with the closely related area of Scheduling (production processes). Most of the Econometrics studies addressed also intersect with Data envelopment analysis. European Journal of Operational Research features Heuristic research that overlaps with concepts in Heuristic (computer science).
The published articles are organized to reinforce research efforts on Mathematical optimization, Operations research, Algorithm, Scheduling (computing) and Heuristics. The journal papers dive deep in exploring the relationship between the study of Mathematical optimization and Job shop scheduling. In addition to Operations research research, the published articles aim to explore topics under Data envelopment analysis, Decision support system, Supply chain and Operations management.
European Journal of Operational Research primarily tackles Mathematical optimization, Operations research, Industrial organization, Integer programming and Context (language use). In addition to Mathematical optimization research, the journal aims to explore topics under Set (abstract data type), Job shop scheduling and Integer (computer science). The subject of Data envelopment analysis, which is connected to the field of Production (economics), serves as the foundation of the Integer (computer science) research featured in European Journal of Operational Research.
Concepts in Scheduling (computing), as well as related topics in Task (project management) and Schedule, are covered in the Operations research research presented in the journal. Topics in Industrial organization were tackled in line with various other fields like Stability (learning theory), Competition (economics) and Supply chain management. The studies on Integer programming discussed can also contribute to research in the domains of Combinatorial optimization and Heuristic.
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 European Journal of 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 European Journal of 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 2022 edition, 4.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.63% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.37% of all publications and 75.79% 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.
Yoshua Bengio;Andrea Lodi;Antoine Prouvost
(2021)Giuseppe Fragapane;René de Koster;Fabio Sgarbossa;Jan Ola Strandhagen
(2021)Charles Audet;Jean Bigeon;Dominique Cartier;Sébastien Le Digabel
(2021)Thibaut Vidal;Gilbert Laporte;Piotr Matl
(2020)Shu Guo;Tsan-Ming Choi;Bin Shen
(2020)Mathias Kraus;Stefan Feuerriegel;Asil Oztekin
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