| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 786 | 14 | 28 | 6 |
The journal was organized to reinforce research efforts on Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Fuzzy logic. The research on Artificial intelligence discussed in Journal of Advanced Computational Intelligence and Intelligent Informatics draws on the closely related field of Data mining. The journal investigates Pattern recognition research which frequently intersects with Fuzzy clustering.
Journal of Advanced Computational Intelligence and Intelligent Informatics explores issues in Fuzzy classification which can be linked to other research areas like Fuzzy number, Defuzzification and Fuzzy set operations.
Artificial intelligence, Pattern recognition, Machine learning, Fuzzy logic and Computer vision are the main subjects of interest in the journal publications. The most cited articles explore research in Cluster analysis and overlapping concepts in Data mining to expand the discourse in Pattern recognition. The published articles hold forums on Computer vision that merge themes from other disciplines such as Genetic algorithm and Quantum computer.
Artificial intelligence, Control theory, Computer vision, Fuzzy logic and China are the subjects of interest in Journal of Advanced Computational Intelligence and Intelligent Informatics. Artificial intelligence research featured in Journal of Advanced Computational Intelligence and Intelligent Informatics incorporates concerns from various other topics such as Natural language processing and Pattern recognition. It connects research in Control theory with the related topic of Control (management).
Object detection is a key component of Computer vision research discussed in Journal of Advanced Computational Intelligence and Intelligent Informatics.
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 Advanced Computational Intelligence and Intelligent Informatics (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 Advanced Computational Intelligence and Intelligent Informatics (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, 90.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 57.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 14.29% 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.
An important aspect of the Journal of Advanced Computational Intelligence and Intelligent Informatics that isn't widely discussed is the geographical distribution of the authors and their affiliations. Recognizing the geographical diversity and the institutional affiliations of authors can assist in broadening our understanding of the global influence and reach of the journal. By analyzing the geographical location of the authors, we can reveal the countries which are at the forefront in the discussed research fields.
A comprehensive breakdown of author affiliations between continents and countries would reveal the areas where the research fields are most active, and consequently, where the most significant contributions to the journal are coming from. To further augment this intellectual discourse, we can also delve into the data on international collaborations based on these affiliations.
In this respect, a fascinating side note could be looking at the career paths of these authors, particularly the path to becoming a recognized professional in advanced computational intelligence and intelligent informatics research. One potential route of interest for aspiring researchers could be pursuing a teaching credential. For those considering this in the U.S., it might be of interest to look into the cheapest teaching credential program in Iowa.
Bijun Tang;Kaoru Hirota;Xiangdong Wu;Yaping Dai
(2021)Junkui Wang;Kaoru Hirota;Xiangdong Wu;Yaping Dai
(2021)Hoang Phuong Nguyen;Laxman Bokati;Vladik Kreinovich
(2020)Bo Wang;Kaoru Hirota;Chang Liu;Yaping Dai
(2020)Chang Liu;Kaoru Hirota;Bo Wang;Yaping Dai
(2020)Simin Li;Yaping Dai;Kaoru Hirota;Zhe Zuo
(2020)Xi Chen;Kaoru Hirota;Yaping Dai;Zhiyang Jia
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