1472-7978
Published by: IOS Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 961 | 27 | 27 | 3 |
| Engineering and Technology | 1391 | 9 | 9 | 2 |
The primary areas of discussion in the journal are Artificial intelligence, Atomic physics, Computer vision, Algorithm and Molecule. The study on Artificial intelligence presented is investigated in conjunction with research in Pattern recognition. While Atomic physics is the focus of it, it also provided insights into the studies of Dipole and Polarizability.
Polarizability research is concerned with Hyperpolarizability in particular.
The published papers generally zeroe in on subjects such as Artificial neural network, Artificial intelligence, Mathematical optimization, Data mining and Encoding (memory). In addition to Artificial intelligence research, the most cited articles aim to explore topics under Term (time) and Machine learning. The journal articles focus on Mathematical optimization but the discussions also offer insight into other areas such as Sampling (statistics), Objective Improvement and Reliability (computer networking).
Journal of Computational Methods in Sciences and Engineering mostly deals with topics like Artificial intelligence, Control theory, Computer vision, Composite material and Acoustics. The journal explores issues in Artificial intelligence which can be linked to other research areas like Natural language processing and Pattern recognition. While Journal of Computational Methods in Sciences and Engineering focused on Control theory, it was also able to explore topics like Variable (computer science) and Control (management).
Computer vision research presented is mostly focused on the subject of Image (mathematics).
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 Methods in Sciences 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 Methods in Sciences 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, 47.19% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.66% of all publications and 54.26% 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.
While this article provides extensive information on research in the fields of computational methods and sciences, it lacks information on career opportunities and vocational paths available for students and researchers interested in these areas. By extending the article with this section, readers can gain an understanding of different career paths beyond academia, such as becoming an art teacher, IT consultant or data scientist in various sectors such as education, business, and health care. Starting a career in these fields may seem overwhelming as the path is not always clear. For instance, a significant career opportunity lies in the education sector where an art teacher can make use of computational methods and sciences to better deliver classes and incorporate technology in educating. If you're specifically interested in teaching art at the high school level in Maryland, you can refer to our guide on how to become a high school art teacher in Maryland.
In gist, a career in computational methods and sciences is not limited to academia or research institutions. Such skills are highly sought after in various industries. Exploring these options provides a holistic view of the field, enabling you to make informed decisions about your career path.
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