| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 87 | 238 | 330 | 46 |
| Engineering and Technology | 303 | 31 | 59 | 25 |
The main points discussed in the journal deals with Artificial intelligence, Fuzzy logic, Data mining, Machine learning and Algorithm. Natural language processing and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal have an impact. The Fuzzy logic works featured in International Journal of Intelligent Systems incorporate elements from Pythagorean theorem and Mathematical optimization.
Some problems in Fuzzy set operations that were presented in International Journal of Intelligent Systems overlapped with concepts under Defuzzification and Neuro-fuzzy.
The most cited publications generally zeroe in on subjects such as Artificial intelligence, Fuzzy logic, Fuzzy set, Data mining and Operator (computer programming). The studies tackled in the most cited publications, which mainly focus on Artificial intelligence, apply to Machine learning as well. The featured Fuzzy logic studies in the journal papers mainly concentrate on Pythagorean theorem but also cover areas of interest in Pythagorean fuzzy sets and Group decision-making.
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 International 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 International 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, 5.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.87% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.25% of all publications and 57.22% 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.
While the article provides comprehensive information about various topics and trends related to the International Journal of Intelligent Systems, it lacks information about the educational background of the top authors who contribute to this journal. Given that their contributions have significantly shaped the landscape of intelligent systems research, it would be interesting and beneficial to the readers to familiarize themselves with these scholars' academic journey. Receiving information on what disciplines they studied, the level of their education, and the institutions they attended might also inspire future contributors. One common thread that many researchers in this field share is a background in education related to computer science, mathematics, or a closely related field. For instance, a fair number of scholars began their academic journey with a Bachelor's degree in mathematics or computer science. Then, they have often specialized in machine learning or artificial intelligence at the postgraduate level. This educational path is not the only route to becoming a successful researcher in intelligent systems. Different pathways can lead towards a successful career in this field. For example, some researchers may come from a more practitioner-based background, as seen in the case of some data scientists, and may not necessarily have a traditional educational background. Information about the requirements and steps to become a researcher could be a great resource for anyone considering a career in this exciting and challenging field of study, just like the detailed guide on how to become an elementary school teacher in Illinois. If you consider the latter career path, you can find more information by visiting our comprehensive guide on the elementary school teacher requirements Illinois. The diversity of educational backgrounds among the top contributors to the International Journal of Intelligent Systems serves as an excellent example of how one's passion, dedication, and expertise can make vital contributions to this ever-evolving field, regardless of the path one has taken to get there.
Benyamin Abdollahzadeh;Farhad Soleimanian Gharehchopogh;Seyedali Mirjalili
(2021)Yuteng Xiao;Yuteng Xiao;Hongsheng Yin;Yudong Zhang;Honggang Qi
(2021)Yuwen Liu;Dejuan Li;Shaohua Wan;Fan Wang
(2022)Unknown
(2021)Tahir Mahmood;Ubaid ur Rehman
(2022)Siyuan Lu;Ziquan Zhu;Juan Manuel Gorriz;Shui-Hua Wang
(2021)Tapan Senapati;Guiyun Chen;Ronald R. Yager
(2021)Feng Feng;Zeshui Xu;Hamido Fujita;Hamido Fujita;Meiqi Liang
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