| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 314 | 58 | 124 | 19 |
The journal generally zeroes in on subjects such as Artificial intelligence, Fuzzy logic, Artificial neural network, Computer vision and Pattern recognition. The research on Artificial intelligence featured in the journal combines topics in other fields like Algorithm, Machine learning and Data mining. The Fuzzy logic study featured in Intelligent Automation and Soft Computing draws parallels with the field of Control theory.
The most cited articles mainly tackle studies in Artificial intelligence, Fuzzy logic, Machine learning, Artificial neural network and Control (management). Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal articles has an impact. The study of Artificial neural network in the most cited papers encompasses disciplines such as Nonlinear system, as well as fields such as Stability (learning theory), all of which overlap with one another.
The journal was organized to reinforce research efforts on Artificial intelligence, Machine learning, Deep learning, Pattern recognition and Computer network. The journal explores issues in Artificial intelligence which can be linked to other research areas like Lung cancer and Computer vision. Intelligent Automation and Soft Computing focused on Machine learning research but expanded to cover Anomaly detection.
In Intelligent Automation and Soft Computing, Speech recognition and Pneumonia are investigated in conjunction with one another to address concerns in Deep learning research. Many of the studies tackled connect Pattern recognition with a similar field of study like Feature (computer vision). Computer network studies presented include Routing (electronic design automation) and Wireless sensor network.
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 Automation and Soft Computing (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 Automation and Soft Computing (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 2022 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
In the rapidly growing field of Intelligent Automation and Soft Computing, academic involvement and research contributions go beyond the realm of universities and scientific institutions. There are opportunities for passionate individuals, such as history teachers, to get involved in this burgeoning field. Academics from various backgrounds can bring diverse perspectives, enhancing the scope and depth of Intelligent Automation and Soft Computing research.
For instance, educators in North Dakota have been pioneering ways to integrate technology into their teaching methods, inspiring future generations. If you're interested in the education field and looking into becoming a teacher in North Dakota, consider exploring the subject of Intelligent Automation and Soft Computing as well. Having this knowledge at your disposal might not only enrich your teaching career but also open doors to future research opportunities. You can learn more about this process by visiting our guide on how to become a history teacher in North Dakota.
Bridging the gap between various academic disciplines and this niche area of research can promote a richer exchange of ideas and thus the advancement of the field. Thus, it encourages researchers, educators, and students of all backgrounds to consider how they might contribute to or benefit from research in Intelligent Automation and Soft Computing.
Taher M. Ghazal;Muhammad Zahid Hussain;Raed A. Said;Afrozah Nadeem
(2021)M. Rajalakshmi;V. Saravanan;V. Arunprasad;C. A. T. Romero
(2022)Mazhar Javed Awan;Mohd Shafry Mohd Rahim;Haitham Nobanee;Awais Yasin
(2021)Sajid Habib Gill;Mirza Abdur Razzaq;Muneer Ahmad;Fahad M. Almansour
(2022)Abu Taher Tamim;Halima Begum;Sumaiya Ashfaque Shachcho;Mohammad Monirujjaman Khan
(2022)Mounita Ghosh;Md. Mohsin Sarker Raihan;M. Raihan;Laboni Akter
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