| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1072 | 7 | 8 | 2 |
The objective of Journal of the Brazilian Computer Society is to combine knowledge in the areas of Cartography, Data structure, World Wide Web, Artificial intelligence and Atlas (topology). The study on Cartography presented is investigated in conjunction with research in Art history. Journal of the Brazilian Computer Society emphasizes research on World Wide Web, which includes concerns such as Download.
Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Machine learning and Computer vision.
The journal articles mostly deal with topics like Data structure, Artificial intelligence, Cartography, Management science and World Wide Web. Ranking, Multimedia, Task (project management) and Software engineering are some topics wherein Data structure research discussed in the journal publications has an impact. The most cited articles about Digital Earth research are fields of study within Cartography but they also intertwine with concepts in Digital transition.
Journal of the Brazilian Computer Society facilitates discussions on Data structure, Context (language use), Software engineering, Art history and Artificial intelligence. Data structure research featured in it incorporates concerns from various other topics such as Data mining, Histogram, Estimator, Heuristics and Cardinality. Topics in Context (language use) explored in it were investigated in conjunction with research in Perception, Data collection, Knowledge management, Perspective (graphical) and Cronbach's alpha.
While the journal focused on Software engineering, it was also able to explore topics like Software development, Software design, Verification and validation, Certification and Communications protocol. Discussions in the journal are anchored in the subject of Art history and the similar topic of Atlas (topology). It focuses on Artificial intelligence but the discussions also offer insight into other areas such as Scale (ratio) and Pattern recognition.
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 the Brazilian Computer Society (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 the Brazilian Computer Society (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, 47.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 16.67% 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.
The robustness of the studies and insights produced by the journal can also be valuable assets for individuals who intend to pursue careers associated with the key topics covered therein. For instance, those who aspire to be educators specializing in history, more importantly, at the high school level, can gain significant benefits from the extensive studies on data structures and artificial intelligence. These knowledge areas can be translated into teaching strategies to better illustrate historical events and make the subject more engaging for the students. Particularly, a potential high school history teacher in Wisconsin can leverage the journal’s focus on the application of data structure and artificial intelligence in the cartographic representation of historical events and transitions to innovate classroom discussions and student activities. Moreover, students who wish to plunge into careers in computing and software engineering would also find the journal beneficial. With concentrations on software engineering, data mining, and the World Wide Web, among others, the journal provides emerging professionals with the latest advancements and researches in these fields, well equipping them for successful careers in technology and digital innovation. With the constantly evolving landscape of computing and digital technology, the journal's extensive resources offer crucial insights that bridge the gap between academic knowledge and practical application.
Leandro Dias da Silva;Paolo Lollini;Diamantea Mongelli;Andrea Bondavalli
(2021)Duccio Bertieri;Andrea Ceccarelli;Tommaso Zoppi;Innocenzo Mungiello
(2021)João M. M. C. Cota;Alberto H. F. Laender;Raquel O. Prates
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