| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 753 | 25 | 41 | 6 |
International Journal of Computational Science and Engineering focuses largely on the fields of Artificial intelligence, Algorithm, Cloud computing, Pattern recognition and Data mining. While work presented in International Journal of Computational Science and Engineering provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Computer vision and Natural language processing. The work on Cloud computing tackled in it brings together disciplines like Computer security and Distributed computing.
The most cited publications are mainly concerned with subjects like Cloud computing, Cloud computing security, Computer security, Component (UML) and Data mining. The featured Algorithm studies in the published papers mainly concentrate on Big data but also cover areas of interest in Artificial intelligence. While the most cited publications focused on Artificial intelligence, they were also able to explore topics like Machine learning and Social network.
The journal mostly deals with topics like Artificial intelligence, Machine learning, Pattern recognition, Deep learning and Artificial neural network. Topics in Artificial intelligence were tackled in line with various other fields like Task (project management), Fusion and Computer vision. International Journal of Computational Science and Engineering addresses concerns in Machine learning which are intertwined with other disciplines, such as Classifier (UML), Denial-of-service attack and Benchmark (computing).
It facilitates discussions on Benchmark (computing) that incorporate concepts from other fields like The Internet and Feature (computer vision). The Pattern recognition study presented in the journal encompasses related topics like Hyperspectral imaging and also examines its connection to subjects such as Extraction (chemistry). Issues in Deep learning were discussed, taking into consideration concepts from other disciplines like Data structure, Smart city, Environmental resource management and Time series.
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 Computational Science 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 International Journal of Computational Science 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, 28.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.11% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.62% of all publications and 59.46% 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.
One last point to emphasize is the career opportunities and potential paths that studying areas like Artificial Intelligence, Algorithm, Cloud computing, Pattern recognition, and Data mining can lead to. A clear understanding of such fields and the advancements discussed in the International Journal of Computational Science and Engineering can open many doors and prospects in the academic and professional world. For instance, educators are among the professionals who can benefit greatly from gaining in-depth knowledge of computational science and engineering. Teaching jobs in relevant areas are in high demand, as they are instrumental in training future generation of researchers, innovators, and professionals in the field. For readers interested in venturing this path, a guide on how to become a teacher in Kansas can be a useful resource. In conclusion, as the field of Computational Science and Engineering continues to evolve, so does the potential for career paths and opportunities in this domain. Being published in recognized platforms like the International Journal of Computational Science and Engineering certainly enhances one's professional standing and career prospects in the field.
Yue Zhao;Xiaona Xu;Jianjian Yue;Wei Song
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