| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 337 | 65 | 122 | 17 |
| Electronics and Electrical Engineering | 422 | 16 | 17 | 6 |
The main points discussed in Computer Systems: Science & Engineering deals with Artificial intelligence, Computer network, Distributed computing, Parallel computing and Computer security. In addition to Artificial intelligence research, it aims to explore topics under Machine learning, Computer vision and Pattern recognition.
The most cited papers facilitate discussions on Programming language, Software engineering, Distributed computing, Computer security and Computer network. The works on Programming language tackled in the published articles bring together disciplines like Artificial intelligence and Natural language processing. Windows Workflow Foundation, Software development, Multi-agent system, Real-time computing and Social software engineering are some topics wherein Software engineering research discussed in the journal publications has an impact.
The journal investigates areas of study like Artificial intelligence, Computer network, Machine learning, Pattern recognition and Deep learning. Some problems in Artificial intelligence that were presented in it overlapped with concepts under Computer vision and Identification (information). Image (mathematics) is a key component of Computer vision research discussed in it.
It dives deep in exploring the relationship between the study of Computer network and Intrusion detection system. It investigates Pattern recognition research which frequently intersects with Feature (computer vision). The study on Deep learning presented in it intersects with the topics under Data science.
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 Computer Systems: Science & 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 Computer Systems: Science & 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 2022 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
G. R. Sreekanth;S. Ahmed Najat Ahmed;Marko Sarac;Ivana Strumberger
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