2288-4300
Published by: Society for Computational Design and Engineering
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 210 | 31 | 43 | 13 |
| Engineering and Technology | 375 | 45 | 58 | 21 |
The concepts of Artificial intelligence, Mathematical optimization, Algorithm, Mechanical engineering and Structural engineering are tackled in Journal of Computational Design and Engineering. Journal of Computational Design and Engineering focuses on Artificial intelligence as well as the interrelated topic of Computer vision. Journal of Computational Design and Engineering covers various topics on Mathematical optimization such as Optimization problem and Metaheuristic.
The Mechanical engineering research dealing mostly with Machining is the focus of Journal of Computational Design and Engineering. The work on Structural engineering presented in Journal of Computational Design and Engineering focuses on Finite element method in particular.
The published papers tackle a plethora of topics, such as Mathematical optimization, Optimization problem, Algorithm, Benchmark (computing) and Mechanics. The most cited publications about Metaheuristic and Particle swarm optimization under the umbrella field of Mathematical optimization overlap with concepts in Initialization, Jerk and Arc length. The majority of Algorithm studies presented in the published articles zero in on Local optimum.
The main research concerns discussed in Journal of Computational Design and Engineering are Artificial intelligence, Mechanics, Computer vision, Artificial neural network and Composite material. The majority of Artificial intelligence studies in Journal of Computational Design and Engineering are focused on the subject of Deep learning. The study on Mechanics presented is investigated in conjunction with research in Thermal radiation.
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 Computational Design and 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 Journal of Computational Design and 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 2021 edition, 1.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.74% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.48% of all publications and 48.31% 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.
Alessandra Papetti;Fabio Gregori;Monica Pandolfi;Margherita Peruzzini
(2020)Surya Kanta Mondal;Dulal Pal
(2020)S Ali Faghidian
(2021)Anish Pandey;Vikas Singh Panwar;Ehtesham Hasan;Dayal R Parhi
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