| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 143 | 101 | 100 | 33 |
| Engineering and Technology | 234 | 46 | 63 | 29 |
The aim of the journal is to expand the discussion of research in Systems engineering, Artificial intelligence, Process (engineering), Engineering drawing and Process management. Systems engineering research presented in it encompasses a variety of subjects, including New product development, Manufacturing engineering and Software engineering. The journal explores research in New product development and the adjacent study of Product design.
While the journal focused on Artificial intelligence, it was also able to explore topics like Machine learning, Computer vision and Pattern recognition. In Computers in Industry, Computer Aided Design and Machining are investigated in conjunction with one another to address concerns in Engineering drawing research. Computer Aided Design research discussed connects with the study of CAD.
The studies tackled, which mainly focus on Process management, apply to Knowledge management as well.
The most cited papers focus largely on the fields of Systems engineering, Knowledge management, Process management, Process (engineering) and New product development. While Systems engineering is the focus of the most cited publications, it also provides insights into the studies of Engineering management, Product lifecycle, Enterprise integration, Enterprise modelling and Software engineering. The most cited publications hold forums on Process management that merge themes from other disciplines such as Supply chain and Business process.
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 Computers in Industry (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 Computers in Industry (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 100.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
In the field of applied computer science, such as Computers in Industry, there remain vibrant opportunities for budding scientists and scholars who want to explore their career in this field. Keeping the rising demand for researchers in this field, it becomes significant to understand the prerequisites and the overall process involved in becoming one. For example, if you aspire to become a history teacher, the overall process including the time taken, the steps involved, and the education criteria, should be well understood before you take the plunge. If you are in Maryland and are curious to know how long does it take to become a teacher in Maryland, you can find detailed insights on our website. For those who want a career in the field of "Computers in Industry", the path may vary. It is recommended to have a degree in Computer Science, Data Science, or related fields. Furthermore, gaining experience through internships or entry-level positions in companies that focus on system engineering, artificial intelligence, process management, or other related fields can significantly enhance your prospect. Also, staying up-to-date with the most recent and most-cited research papers can help you occupy a leading edge in this challenging field. Remember, as the saying goes, "Knowledge is power". Make sure to keep exploring the latest trends, anticipated future trends, and past revolutions in this field. It will provide you with comprehensive knowledge of the domain. Furthermore, these insights may also guide you in your study or research, providing you a unique angle or aspect to focus on.
Concetta Semeraro;Concetta Semeraro;Mario Lezoche;Hervé Panetto;Michele Dassisti
(2021)Mario Lezoche;Jorge E. Hernandez;Maria del Mar Eva Alemany Díaz;Hervé Panetto
(2020)Rehan Syed;Suriadi Suriadi;Michael Adams;Wasana Bandara
(2020)Anushree Tandon;Amandeep Dhir;Amandeep Dhir;Amandeep Dhir;A.K.M. Najmul Islam;A.K.M. Najmul Islam;Matti Mäntymäki
(2020)Unknown
(2023)Tangbin Xia;Ya Song;Yu Zheng;Ershun Pan
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