0334-1860
Published by: Walter de Gruyter
https://www.degruyter.com/view/journals/jisys/jisys-overview.xml
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 507 | 14 | 23 | 12 |
The journal tackles a plethora of topics, such as Artificial intelligence, Fuzzy logic, Machine learning, Data mining and Pattern recognition. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Computer vision and Natural language processing. The Fuzzy logic research dealing mostly with Fuzzy set operations is the focus of Journal of intelligent systems.
The study on Fuzzy set operations featured in it expounds on the topic of Type-2 fuzzy sets and systems in particular. The journal aims to reinforce research in the subjects of Fuzzy number and Fuzzy classification by tackling studies in Type-2 fuzzy sets and systems.
The published articles are organized to reinforce research efforts on Artificial intelligence, Fuzzy logic, Fuzzy set, Fuzzy number and Operator (computer programming). Natural language processing, Machine learning, Set (abstract data type) and Pattern recognition are some topics wherein Artificial intelligence research discussed in the most cited papers has an impact. The published papers with studies in Fuzzy number featured incorporate elements of Discrete mathematics, Fuzzy set operations, Fuzzy classification and Membership function.
The scientific interests tackled in Journal of intelligent systems are Artificial intelligence, Machine learning, Computer vision, Data mining and Natural language processing. The Artificial intelligence study presented in the journal encompasses related topics like Large margin nearest neighbor and also examines its connection to subjects such as Transport theory. In Journal of intelligent systems, Weighted arithmetic mean and Least significant bit are investigated in conjunction with one another to address concerns in Computer vision research.
While the journal focused on Data mining, it was also able to explore topics like Software agent and Sensor fusion. The concepts on Decision tree presented in it can also apply to other research fields, including Intelligent decision support system, Pruning (decision trees), Reduction (complexity) and Overfitting. The studies in Artificial neural network featured incorporate elements of Pooling, Scale (social sciences), Identification (information), Probabilistic analysis of algorithms and Gold standard (test).
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 intelligent systems (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 intelligent systems (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, 20.93% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.47% 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 11.76% of all publications and 61.76% 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.
If you're an aspiring scientist or researcher who is intrigued by the topics discussed in the Journal of Intelligent Systems, you might be considering a career in this field. However, it's important to understand what qualifications and credentials you need to break into this industry. For instance, if you are interested in being a teacher in Georgia, check out our guide on how to become a teacher in Georgia with a bachelor's degree. Understanding the career prospects related to your field of interest can significantly influence your study choices and enhance your future career opportunities. Therefore, in-depth career guides and advisories like these may come as a useful resource to help you navigate your career journey efficiently.
Zhenyi Zhao;Zhou Jian;Gurjot Singh Gaba;Roobaea Alroobaea
(2021)Firas Mohammed Aswad;Ali Noori Kareem;Ahmed Mahmood Khudhur;Bashar Ahmed Khalaf
(2021)Mazin Abed Mohammed;Dheyaa Ahmed Ibrahim;Akbal Omran Salman
(2021)Shemim Begum;Ram Sarkar;Debasis Chakraborty;Ujjwal Maulik
(2020)Liwei Wang;Robert Abbas;Fahad M. Almansour;Gurjot Singh Gaba
(2021)Firas Mohammed Aswad;Ihsan Salman;Salama A. Mostafa
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