1872-4981
Published by: IOS Press
https://www.iospress.nl/journal/intelligent-decision-technologies/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 823 | 21 | 38 | 5 |
The journal primarily focuses on research topics in Artificial intelligence, Electronic engineering, Embedded system, Machine learning and Software. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Computer vision and Pattern recognition. CMOS is a focus of the presented Electronic engineering works and it dives deep in CMOS.
Embedded system studies presented include Field-programmable gate array and System on a chip.
The most cited publications primarily tackle Data mining, Knowledge management, Artificial intelligence, Memristor and Electronic engineering. The Artificial intelligence study tackled in the most cited papers is a key component of adjacent topics in the area of Swarm intelligence. While Electronic engineering is the focus of the published papers, it also provides insights into the studies of Memory refresh, Resistive random-access memory, Memory cell, Fault injection and Resistive touchscreen.
The journal is organized to address concerns in the fields of Artificial intelligence, Software, Pattern recognition, Data mining and Machine learning. The Artificial intelligence study featured in Intelligent Decision Technologies draws connections with the study of Computer vision. Intelligent Decision Technologies is focused mainly on Pattern recognition, particularly Feature selection.
The work tackled in the journal goes beyond the discipline of Data mining as it also encompasses Cluster analysis.
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 Intelligent Decision Technologies (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 Intelligent Decision Technologies (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, 34.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.94% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.49% of all publications and 57.75% 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.
Given the vast applicability of intelligent decision technologies in different fields, there are diverse career opportunities for those interested in this area. From artificial intelligence researchers to embedded system engineers, data science professionals to machine learning specialists, opportunities are endless for those who have the right qualifications and experience. Private institutions, especially schools in California, are increasingly interested in introducing technology education into their curriculum, making studying these subjects an excellent career option.
For individuals who aspire to become educators in this domain, knowing about the private school teacher requirements California can be beneficial in making an informed decision. This article ideally highlights the necessary qualifications, examinations, and credentials you need to meet to start your teaching journey in private schools in California. It further emphasizes the benefits of being skilled in intelligent decision technologies, as it can improve your chances of securing a job in these institutions.
Therefore, whether you want to build intelligent systems, develop software, mine vast amounts of data for insights, or teach the future generation of technologists, pursuing a career in intelligent decision technologies can open new doors for you.
Andreas F. Gkontzis;Sotiris Kotsiantis;Dimitris Kalles;Christos T. Panagiotakopoulos
(2020)Rozita Tsoni;Evangelos Sakkopoulos;Christos T. Panagiotakopoulos;Vassilios S. Verykios
(2021)Evgenia Paxinou;Dimitrios Kalles;Christos T. Panagiotakopoulos;Argyro Sgourou
(2021)Gloria E. Phillips-Wren;George A. Tsihrintzis;Lakhmi C. Jain;Junzo Watada
(2021)Neelamadhab Padhy;Raman Kumar Mishra;Suresh Chandra Satapathy;K. Srujan Raju
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