| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 820 | 26 | 33 | 5 |
International Journal of Software Engineering and Knowledge Engineering primarily tackles Software engineering, Software, Software development, Programming language and Data mining. Issues in Software engineering were discussed, taking into consideration concepts from other disciplines like Software architecture, Software system, Software development process and Systems engineering. International Journal of Software Engineering and Knowledge Engineering connects research in Software development with the related topic of Knowledge management.
Programming language and Theoretical computer science are closely related fields of research discussed in it. It focuses on Data mining but the discussions also offer insight into other areas such as Machine learning and Artificial intelligence. Artificial intelligence research discussed connects with the study of Pattern recognition.
The study on Software construction presented is investigated in conjunction with research in Component-based software engineering. Formal specification research discussed connects with the study of Formal methods.
Software engineering, Software development, Software construction, Systems engineering and Data mining are the main subjects of interest in the published articles. Programming language, Software, Software requirements specification and Reference architecture are some topics wherein Software engineering research discussed in the published papers has an impact. The featured Systems engineering studies in the published papers mainly concentrate on Multi-agent system but also cover areas of interest in Agent-oriented software engineering.
International Journal of Software Engineering and Knowledge Engineering mainly tackles studies in Software engineering, Artificial intelligence, Software, Code (cryptography) and Programming language. The work on Software engineering tackled in International Journal of Software Engineering and Knowledge Engineering brings together disciplines like Software development, Software system, Object-oriented programming, Usability and Code refactoring. In addition to Artificial intelligence research, the journal aims to explore topics under Machine learning and Pattern recognition.
It explores issues in Software which can be linked to other research areas like Iterative and incremental development, Business process modeling and Product (mathematics). The overlapping concepts between Source code and Traceability, TRACE (psycholinguistics), Tracing and Requirements traceability are the key highlights of Code (cryptography) study. Consistency (knowledge bases) and SPARQL are some topics wherein Programming language research discussed in International Journal of Software Engineering and Knowledge Engineering have an impact.
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 Software Engineering and Knowledge 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 Software Engineering and Knowledge 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, 5.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.96% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 66.67% 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 extending the value of our insights in the field of software engineering and related disciplines, it's worth looking at the practical applications of these research topics in the real world. Often, these studies guide the ongoing practices in the software industry, and directly influence the skills needed by professionals in this field. One such profession that frequently utilizes these research insights is that of an Elementary School Teacher specializing in computer science or related fields. Teaching the fundamentals of software development, programming languages, and even artificial intelligence to young students is a monumental job that requires staying updated with the latest advancements and research in these topics. Understanding the software engineering landscape provides these teachers the tools to inspire and groom future engineers. In return, these teachers are also compensated well for their unique skills and industry knowledge. To understand more about this profession, particularly in the region of Connecticut, you can check out the average {elementary school teacher connecticut salary} and career progression opportunities. By understanding the research trends and corresponding careers, we not only stay current with industry advancements but can also guide the next generation of researchers, software developers, and computer science educators effectively.
Yasir Hussain;Zhiqiu Huang;Yu Zhou;Senzhang Wang
(2020)Jiahao Liu;Zhipeng Wang;Yunpeng Wu;Yong Qin
(2020)David Chaves-Fraga;Freddy Priyatna;Ahmad Alobaid;Oscar Corcho
(2020)Ying Sun;Xiao-Yuan Jing;Xiao-Yuan Jing;Fei Wu;Xiwei Dong;Xiwei Dong
(2021)Edward Kai Fung Dang;Robert Wing Pong Luk;James Allan
(2020)Enrique Alba;Javier Ferrer;Ignacio Villalobos
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