| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 112 | 268 | 678 | 39 |
| Materials Science | 636 | 30 | 38 | 7 |
Cmc-computers Materials & Continua primarily focuses on research topics in Artificial intelligence, Pattern recognition, Composite material, Computer network and Deep learning. The studies on Artificial intelligence discussed can also contribute to research in the domains of Machine learning, Computer vision and Natural language processing.
The main points discussed in the journal papers deal with Artificial intelligence, Mathematical analysis, Composite material, Structural engineering and Computer network. While work presented in the most cited papers provide substantial information on Artificial intelligence, it also covers topics in Machine learning, Computer vision and Pattern recognition. The studies on Composite material discussed at the journal articles can also contribute to research in the domains of Voronoi diagram and Geometry.
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 Cmc-computers Materials & Continua (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 Cmc-computers Materials & Continua (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, 99.44% 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 50.00% 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 50.00% 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.
For those who are inspired by the top research topics and researchers in Cmc-computers Materials & Continua, a career in research might be a viable path. It is important to note that becoming a research scholar or a teacher requires a certain level of education, experience, and most importantly, commitment. In the domain of Artificial Intelligence, Machine Learning, Computer Vision, Pattern Recognition, to name just a few, demands specialized knowledge and a certain degree of expertise. To pursue a career in these fields, understanding how various algorithms work, practical experience with programming languages, or the ability to create and maintain complex systems may be required. Moreover, an academic career in research isn't just about expertise and knowledge about your field. Equally important is developing the so-called "soft skills". Critical thinking, complex problem solving, emotional intelligence, and cognitive flexibility are among these indispensable skills. Further, teaching certification may be required if you aim for an academic position. For instance, if you are considering a career in teaching or research in Idaho, an understanding of the specific requirements and the duration of the process could be beneficial. For more details on how to become a teacher in Idaho, you can visit this link how long does it take to become a teacher in Idaho. To sum up, embarking on a career in research might require more preparation than expected. Each step towards this objective prepares you to contribute valuable insights in fields like Computers and Materials at Continua or similar studies. With perseverance and dedication, anyone with passion for these fields can make a significant impact on modern technology.
Saleh Nagi Alsubari;Sachin N. Deshmukh;Ahmed Abdullah Alqarni;Nizar Alsharif
(2022)Taher M. Ghazal;Sagheer Abbas;Sundus Munir;M. A. Khan
(2022)Unknown
(2021)Taher M. Ghazal;Marrium Anam;Mohammad Kamrul Hasan;Muzammil Hussain
(2021)A. S. Al-Waisy;Mazin Abed Mohammed;Shumoos Al-Fahdawi;M. S. Maashi
(2021)Sagheer Abbas;Yousef Alhwaiti;Areej Fatima;Muhammad A. Khan
(2022)Maryam Shafiq;Humaira Ashraf;Ata Ullah;Mehedi Masud
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