| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 290 | 11 | 18 | 9 |
| Engineering and Technology | 650 | 35 | 58 | 13 |
International Journal of Computer Integrated Manufacturing explores disciplines such as Systems engineering, Manufacturing engineering, Process (engineering), Mathematical optimization and Computer-integrated manufacturing. The Systems engineering works featured in International Journal of Computer Integrated Manufacturing incorporate elements from Industrial engineering, New product development, Product design, Product engineering and Software engineering. It focused on Manufacturing engineering research but expanded to cover Production (economics).
The Mathematical optimization study tackled is a key component of adjacent topics in the area of Job shop scheduling. In particular, the Job shop scheduling works presented emphasize discussions on Flow shop scheduling. Integrated Computer-Aided Manufacturing, Process development execution system and Manufacturing execution system are all aspects of Computer-integrated manufacturing discussed in it.
The journal papers primarily tackle Systems engineering, Manufacturing engineering, Process (engineering), Computer-integrated manufacturing and Mathematical optimization. The most cited publications mainly concentrate on Systems engineering but also investigate its connection with concepts in disciplines such as
The main research concerns discussed in the journal are Manufacturing engineering, Smart manufacturing, Artificial intelligence, Industry 4.0 and Distributed computing. It focuses on Manufacturing engineering but the discussions also offer insight into other areas such as Feature recognition, Manufacturing and Machining. Research on Smart manufacturing addressed in it frequently intersections with the field of Telecommunications.
While the primary focus in it is Artificial intelligence, it also dissects topics surrounding Pattern recognition and CAD as a whole. It focuses on Industry 4.0 research which is adjacent to topics in Systems engineering. The journal explores issues in Distributed computing which can be linked to other research areas like Cloud manufacturing and Scheduling (production processes).
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 International Journal of Computer Integrated Manufacturing (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 International Journal of Computer Integrated Manufacturing (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, 7.07% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.48% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.39% of all publications and 56.52% 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.
Kosmas Alexopoulos;Nikolaos Nikolakis;George Chryssolouris
(2020)Chenyuan Zhang;Wenjun Xu;Jiayi Liu;Zhihao Liu
(2021)Mahdi Mokhtarzadeh;Reza Tavakkoli-Moghaddam;Behdin Vahedi-Nouri;Azadeh Farsi
(2020)Federico Campi;Claudio Favi;Michele Germani;Marco Mandolini
(2021)Satchit Ramnath;Payam Haghighi;Adarsh Venkiteswaran;Jami J. Shah
(2020)Shiva Malekkhouyan;Amir Aghsami;Amir Aghsami;Masoud Rabbani
(2021)Aristidis Mamasioulas;Dimitris Mourtzis;George Chryssolouris
(2020)Pursuing a Computer Science degree in the USA offers a variety of educational options, including online learning paths that cater to diverse needs. For those looking to advance quickly, many students opt for easy masters programs which provide a streamlined curriculum without sacrificing quality.
Cost is another important factor. Affordable education is accessible through cheap online colleges that accept FAFSA, enabling students to fund their studies while managing expenses effectively. For doctoral candidates, exploring the cheapest doctorate degree options can help make advanced research degrees attainable without overwhelming debt.
Additionally, professionals looking to enhance or pivot their careers may consider best online certificate programs. These certifications focus on in-demand skills, often leading to better job prospects and higher salaries in the tech industry.
Exploring these pathways can help students and professionals find the right balance between cost, time commitment, and career goals in the evolving field of Computer Science.
