| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1085 | 5 | 11 | 2 |
Artificial intelligence, Fuzzy logic, Data mining, Machine learning and Pattern recognition are among the topics commonly tackled in the journal. International Journal of Intelligent Engineering Informatics facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Computer vision and Natural language processing. The journal is focused mainly on Fuzzy logic, particularly Fuzzy control system.
The in-depth study on Data mining also explores topics in the intersecting field of Cluster analysis. Cluster analysis study tackled is connected to the field of Selection (genetic algorithm).
The main points discussed in the journal publications deal with Artificial intelligence, Fuzzy logic, Artificial neural network, Pattern recognition and Feature extraction. Control system, Machine learning and Natural language processing are some topics wherein Artificial intelligence research discussed in the journal papers has an impact. While Artificial neural network is the focus of the published articles, it also provides insights into the studies of Neuro-fuzzy, Fuzzy control system, Chaotic, Chaos theory and Fuzzy set.
Artificial intelligence, Artificial neural network, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Machine learning and 2019-20 coronavirus outbreak are the subjects of interest in the journal. While Artificial intelligence is the focus of the journal, it also provided insights into the studies of Computer vision and Pattern recognition. Issues in Pattern recognition were discussed, taking into consideration concepts from other disciplines like Emotion recognition, Field (computer science) and Feature (computer vision).
The featured works in Deep neural networks, which all belong in the domain if Artificial neural network, also overlaps with concepts under Set (psychology). International Journal of Intelligent Engineering Informatics aims to facilitate interdisciplinary discussions involving Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as well as topics like Convolutional neural network, Deep learning, World health, Contextual image classification and Stochastic gradient descent. The featured Machine learning works encompass concepts such as Classifier (linguistics) and examines them in conjunction with Mutation testing, Test case, Powdery mildew and Nemenyi 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 International Journal of Intelligent Engineering 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 International Journal of Intelligent Engineering 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, 28.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.00% of all publications and 50.00% 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 addition to understanding the prominent research topics and figures within Intelligent Engineering Informatics, it could also be beneficial for prospective researchers to explore potential educational and career pathways that lead to this field. For example, a role that greatly contributes to this discipline is that of a teacher who provides education on critical subjects such as artificial intelligence, data mining, fuzzy logic, and machine learning. If teaching appears to be a suitable profession and you are based in Oregon, you may want to understand {anchor}. This could provide you with a foundational knowledge of education and teaching that might lead you into research in Intelligent Engineering Informatics in the future.
Sahil Sharma;Vijay Kumar
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