| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 670 | 5 | 11 | 3 |
| Engineering and Technology | 1192 | 18 | 27 | 5 |
The journal generally zeroes in on subjects such as Mathematical optimization, Operations research, Supply chain, Supply chain management and Operations management. Mathematical optimization research featured in European Journal of Industrial Engineering incorporates concerns from various other topics such as Scheduling (computing) and Job shop scheduling. The majority of Scheduling (computing) studies presented zero in on Single-machine scheduling.
The journal addresses concerns in Job shop scheduling which are intertwined with other disciplines, such as Simulated annealing, Algorithm and Scheduling (production processes). The studies on Operations research discussed can also contribute to research in the domains of Quality (business), Heuristic, Decision support system and Process (engineering). Quality (business) study tackled is connected to the field of Reliability engineering.
It explores issues in Supply chain which can be linked to other research areas like Microeconomics, Game theory and Industrial organization. Microeconomics research presented is mostly focused on the subject of Profit (economics).
The published articles primarily tackle Mathematical optimization, Operations research, Scheduling (computing), Algorithm and Operations management. The published papers dive deep in exploring the relationship between the study of Mathematical optimization and Fuzzy number. The most cited publications explore topics in Operations research which can be helpful for research in disciplines like Preventive maintenance, Value stream mapping and Decision support system.
The scientific interests tackled in European Journal of Industrial Engineering are Mathematical optimization, Fuzzy logic, Control chart, Project management and Backtracking search algorithm. European Journal of Industrial Engineering explores research in Mathematical optimization and the adjacent study of Vehicle routing problem. While Fuzzy logic is the focus of European Journal of Industrial Engineering, it also provided insights into the studies of Quality function deployment, Systematic layout planning and Operations research.
European Journal of Industrial Engineering facilitates discussions on Control chart that incorporate concepts from other fields like Statistics and Control theory. Many of the studies tackled connect Project management with a similar field of study like Engineering management. Most of the works presented in the journal deals with Backtracking search algorithm but it intersects with the subject of Job shop.
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 Industrial Engineering (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 Industrial Engineering (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, 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.
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.
This journal is not limited to Industrial Engineering; it also furthers research and development in other related fields. For instance, the focus on operations research in the European Journal of Industrial Engineering provides valuable insight for business management and urban planning. Certain principles such as operational efficiency, data analysis, and optimization can be easily applicable in improving business processes or in enhancing city landscapes and infrastructure. The concept of mathematical optimization can be beneficial whether one seeks to maximize profits in a business or efficiently utilize public resources in urban planning. The emphasis on algorithm understanding and development is also crucial in the rapidly growing field of computer science, where effective algorithm utilization plays a key role. Furthermore, the Journal opens up avenues for interdisciplinary collaboration by highlighting shared research goals across various fields. This aids in finding more holistic and effective solutions to problems. The Journal can be specifically constructive for students pursuing related academic degrees such as an urban planning degree in Oregon, providing them with the necessary skills and a broader perspective on problem-solving. In conclusion, the European Journal of Industrial Engineering serves as not just a pool of knowledge for industrial engineers, but also a resourceful tool for professionals and scholars from a multitude of related disciplines.
Hojat Nabovati;Hassan Haleh;Behnam Vahdani
(2020)Zohra Bouzidi;Labib Sadek Terrissa;Noureddine Zerhouni;Soheyb Ayad
(2020)Shima Pashapour;Ali Azadeh;Ali Bozorgi-Amiri;Abbas Keramati
(2020)Pablo Biswas;Bhaba R. Sarker
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