| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 815 | 34 | 48 | 5 |
International Journal on Artificial Intelligence Tools covers a variety of subjects, including Artificial intelligence, Machine learning, Data mining, Algorithm and Pattern recognition. The studies on Artificial intelligence discussed can also contribute to research in the domains of Set (abstract data type), Computer vision and Natural language processing. Many of the studies tackled connect Data mining with a similar field of study like Cluster analysis.
The most cited papers are mainly concerned with subjects like Artificial intelligence, Machine learning, Data mining, Theoretical computer science and Artificial neural network. The published articles hold forums on Artificial intelligence that merge themes from other disciplines such as Natural language processing, Set (abstract data type), Computer vision and Pattern recognition. While Machine learning is the focus of the published papers, it also provides insights into the studies of Classifier (UML), Visualization and Probabilistic logic.
International Journal on Artificial Intelligence Tools aims to foster the development of research in Artificial intelligence, Machine learning, Reinforcement learning, Computer vision and Fuzzy logic. In the journal, Class (computer programming) and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research. Issues in Pattern recognition were discussed, taking into consideration concepts from other disciplines like Change detection and Anomaly (natural sciences).
The journal explores topics in Machine learning which can be helpful for research in disciplines like Parallelizable manifold and Topological data analysis. The concepts on Reinforcement learning presented in it can also apply to other research fields, including Context (language use), Action (philosophy), Markov decision process, Resolution (logic) and Order (business). Aside from discussions in Fuzzy logic, International Journal on Artificial Intelligence Tools also deals with the subject of Dependability which intersects with Data mining disciplines.
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 on Artificial Intelligence Tools (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 on Artificial Intelligence Tools (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, 15.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.62% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.11% of all publications and 70.27% 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.
Submitting your research work to the International Journal on Artificial Intelligence Tools can be a crucial step in your academic career. This aids in making your work more visible and credible in the field of Artificial Intelligence. Before you submit your work, it is imperative that you meet the standards and criteria set by the journal.
To submit your research paper, you need to visit the official website of the International Journal on Artificial Intelligence Tools and follow their submission process. Make sure your paper aligns with the format and style preferred by the journal. This usually includes following a set structure consisting of abstract, keywords, introduction, methodology, results, discussion, conclusion, and references. Your research work must be original and not be under consideration for publication in any other journal. The copyright of the paper will belong to the journal once it is accepted for publication. The submission process will usually require you to provide personal details like affiliation, contact information, and a brief biography.
The International Journal on Artificial Intelligence Tools emphasizes topics like Artificial Intelligence, Machine Learning, Data Mining, Algorithm, and Pattern Recognition. It is important that your research paper is inclined towards these areas. Moreover, the quality of your paper should portray a significant contribution to the existing body of knowledge.
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