1548-3657
Published by: IGI Global Publishing
https://www.igi-global.com/journal/international-journal-intelligent-information-technologies/1089
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1014 | 7 | 6 | 3 |
International Journal of Intelligent Information Technologies explores disciplines such as Artificial intelligence, Knowledge management, Information retrieval, Data mining and World Wide Web. Topics in Artificial intelligence were tackled in line with various other fields like Machine learning, Pattern recognition, Computer vision and Natural language processing. The Machine learning works featured in the journal incorporate elements from Classifier (UML) and Fuzzy logic.
In International Journal of Intelligent Information Technologies, Context (language use), Decision support system, Software engineering and Information system are investigated in conjunction with one another to address concerns in Knowledge management research. International Journal of Intelligent Information Technologies links adjacent topics like Software engineering with Database. The in-depth study on Information retrieval also explores topics in the intersecting field of Web page.
The journal dives deep in exploring the relationship between the study of Data mining and Cluster analysis. The journal primarily discusses World Wide Web topics, particularly Web modeling and Web service. International Journal of Intelligent Information Technologies focuses on Ontology (information science) research which is adjacent to topics in Semantic Web.
The most cited publications primarily focus on research topics in Knowledge management, Information retrieval, Artificial intelligence, World Wide Web and Data mining. The most cited papers explore issues in Knowledge management which can be linked to other research areas like Context (language use), Software agent, Enterprise architecture, Enterprise architecture management and Software engineering. The published articles with studies in Artificial intelligence featured incorporate elements of Machine learning and Pattern recognition.
International Journal of Intelligent Information Technologies is organized to address concerns in the fields of Artificial intelligence, Information retrieval, Cluster analysis, Natural language processing and Health care. It focuses on Artificial intelligence but the discussions also offer insight into other areas such as Copying and Machine learning. While work presented in it provided substantial information on Information retrieval, it also covered topics in Phishing and Identification (information).
Topics in Cluster analysis explored in the journal were investigated in conjunction with research in Telecommunications, Sustenance, Service delivery framework, Software portability and Mobile number portability. The studies in Natural language processing featured incorporate elements of Textual entailment, SemEval and Task (project management). Issues in Health care were discussed, taking into consideration concepts from other disciplines like Computer security, Systems development life cycle and Mobile device.
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 Information 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 International Journal of Intelligent Information 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, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.38% of all publications and 53.85% 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.
The dynamic nature of the topics covered in the International Journal of Intelligent Information Technologies opens up a variety of career opportunities. Professionals in the field can look forward to rewarding roles in Artificial Intelligence, Knowledge Management, Information Retrieval, and Data Mining, both in academic and industry settings. Academic roles in fields like Artificial Intelligence and Knowledge Management involve research and teaching positions. Such roles often require an advanced degree in these fields or a related discipline. Professionals in these roles typically collaborate in research projects, exploring cutting-edge Intellectual Information Technologies. In the corporate sector, IT professionals can look forward to roles involving practical applications of these technologies. For example, they might work in software development, information systems management, or data analysis. Besides an engaging work environment, these fields also offer competitive salaries. While compensation can vary depending on factors such as level of experience, specific role, and location, professionals in these fields can generally expect above-average pay scales. Take, for instance, the role of a private school teacher specializing in Artificial Intelligence in Nebraska. This role requires advanced knowledge in the field and the ability to impart that knowledge to students effectively. And the compensation reflects the specialized skills and knowledge required for this role. According to recent data on private school teacher salaries in Nebraska, the median annual wage is quite competitive. If you're interested in this career path, you might find more information on how to become a private school teacher in Nebraska here. Whether you're just starting your career or looking to make a career switch, the dynamic field of Intelligent Information Technologies offers exciting opportunities and competitive compensation packages. If you have a passion for this field, there is a wealth of career paths open to you.
Aulia Khilmi Rizgi;Anhar Risnumawan;Fernando Ardila;Edi Sutoyo
(2020)Lakshmi Kanthan Narayanan;Suresh Sankaranarayanan;Joel J. P. C. Rodrigues;Pascal Lorenz
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