| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 751 | 27 | 30 | 6 |
The scientific interests tackled in Journal of Universal Computer Science are World Wide Web, Knowledge management, Artificial intelligence, Programming language and Multimedia. The Knowledge management works, particularly on Personal knowledge management are tackled in it. While work presented in Journal of Universal Computer Science provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Pattern recognition and Natural language processing.
The journal connects research in Programming language with the related topic of Theoretical computer science.
The most cited articles mainly deal with areas of study such as World Wide Web, Knowledge management, Artificial intelligence, Programming language and Theoretical computer science. Context (language use), Multimedia, Information retrieval and Human–computer interaction are some topics wherein World Wide Web research discussed in the published articles has an impact. While work presented in the journal articles provide substantial information on Artificial intelligence, it also covers topics in Machine learning, Pattern recognition, Computer vision and Natural language processing.
Journal of Universal Computer Science generally zeroes in on subjects such as Artificial intelligence, Software engineering, World Wide Web, Knowledge management and Systematic review. The concepts on Artificial intelligence presented in it can also apply to other research fields, including Pattern recognition, Credibility and Concept drift. Studies on Software engineering discussed in the journal link to the field of Software.
Journal of Universal Computer Science holds forums on World Wide Web that merges themes from other disciplines such as User experience design and Emergency management. The journal explores issues in Knowledge management which can be linked to other research areas like Software development and Conflict resolution. In it, Cloud computing and Data science are investigated in conjunction with one another to address concerns in Formal verification research.
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 Universal Computer Science (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 Universal Computer Science (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, 91.67% 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 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% 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.
Understanding and leveraging the research potentials of the Journal of Universal Computer Science can significantly impact various career paths. For example, aspiring educators focusing on these scientific interests could utilize this knowledge to elevate their career prospects. Specifically, those desiring to become a high school history teacher in Alaska could benefit from the journal's research on Artificial Intelligence and Machine learning. By incorporating these advanced topics in their teaching methods, they could make the learning process interactive and enjoyable for students.
Moreover, the research areas brought about by the Journal of Universal Computer Science could open opportunities for professionals in other career paths. Professionals in Software Development, Data Science, or even User Experience Design could use the knowledge to understand how their work impacts and is impacted by the advancements in the fields of the World Wide Web, Knowledge Management, and Artificial Intelligence. This interconnection could greatly enrich their professional knowledge and open doors for cross-disciplinary collaboration, innovation, and career growth.
Qanita Bani Baker;Farah Shatnawi;Saif Rawashdeh;Mohammad Al-Smadi
(2020)Ranjan Kumar Behera;Sushree Das;Santanu Kumar Rath;Sanjay Misra
(2020)Mohammad Muhairat;Shadi AlZu'bi;Bilal Hawashin;Mohammad W. Elbes
(2020)Alexander Felfernig;Juha Tiihonen
(2020)Agnes Kukulska-Hulme;Jorge Arus-Hota;Jesus Garcia Laborda
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