| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 551 | 55 | 71 | 15 |
The journal was organized to reinforce research efforts on Mathematical optimization, Optimization problem, Algorithm, Multi-objective optimization and Structural engineering. It explores issues in Mathematical optimization which can be linked to other research areas like Nonlinear programming and Set (abstract data type). Engineering Optimization focuses on different Optimization problem studies like Continuous optimization and Engineering optimization.
Studies on Multi-objective optimization discussed in Engineering Optimization link to the field of Pareto principle. The study on Structural engineering presented in Engineering Optimization intersects with the topics under Optimal design. Engineering Optimization explores research in Metaheuristic and the adjacent study of Multi-swarm optimization.
Research in Multi-swarm optimization tackled falls within the umbrella of Particle swarm optimization.
The journal articles tackle a plethora of topics, such as Mathematical optimization, Optimization problem, Multi-objective optimization, Metaheuristic and Algorithm. The works on Optimization problem tackled in the journal publications bring together disciplines like Nonlinear programming, Control theory and Nonlinear system. The published articles facilitate discussions on Multi-objective optimization that incorporate concepts from other fields like Pareto principle, Set (abstract data type), Artificial intelligence and Engineering design process.
The objective of Engineering Optimization is to combine knowledge in the areas of Mathematical optimization, Topology optimization, Algorithm, Control theory and Reliability engineering. The studies on Mathematical optimization discussed can also contribute to research in the domains of Process (computing) and Assembly line. The studies in Topology optimization featured incorporate elements of Mathematical analysis and Topology.
It focuses on Reliability engineering research which is adjacent to topics in Reliability (statistics). The journal features Reliability (statistics) research that overlaps with concepts in Kriging.
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 Engineering Optimization (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 Engineering Optimization (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, 5.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.86% of all publications and 67.62% 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.
Abdullah M. Shaheen;Abdallah M. Elsayed;Ragab A. El-Sehiemy;Salah Kamel
(2021)Slawomir Koziel;Anna Pietrenko-Dabrowska
(2020)Xiang Peng;Yuliang Guo;Chan Qiu;Huaping Wu
(2021)Siamak Talatahari;Siamak Talatahari;Pouya Motamedi;Bahman Farahmand Azar;Mahdi Azizi
(2021)Ji-Bo Wang;Bo Zhang;Lin Li;Danyu Bai
(2020)Shane T. Barratt;Stephen P. Boyd
(2021)Ali M. Eltamaly
(2021)Bin Xu;Yongsheng Han;Lei Zhao;Yi Min Xie
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