1935-0090
Published by: Natural Sciences Publishing
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 685 | 7 | 5 | 3 |
The main points discussed in the journal deals with Artificial intelligence, Mathematical analysis, Algorithm, Applied mathematics and Mathematical optimization. The journal holds forums on Artificial intelligence that merges themes from other disciplines such as Machine learning, Computer vision and Pattern recognition. The study on Mathematical analysis presented in it intersects with subjects under the field of Nonlinear system.
The journal articles cover a variety of subjects, including Mathematical analysis, Mathematical optimization, Artificial intelligence, Nonlinear system and Algorithm. The most cited articles deal with Mathematical optimization in conjunction with Convergence (routing) and similar fields in Homotopy analysis method and Applied mathematics. The published articles tackle studies in Computer vision and the interrelated subject of Robustness (computer science) to gain insights into Artificial intelligence.
The concepts of Applied mathematics, Order (business), Multi valued, Algorithm and Minkowski inequality are tackled in Applied Mathematics & Information Sciences. In addition to Applied mathematics research, the journal aims to explore topics under Epidemic model, Runge–Kutta methods, Runge–Kutta–Fehlberg method, Differential equation and Fuzzy logic. The journal focuses on Order (business) but the discussions also offer insight into other areas such as Thermal, Mechanics, Logistic function and Stability (probability).
The journal links adjacent topics like Minkowski inequality with Mathematical physics.
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 Applied Mathematics & Information Sciences (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 Applied Mathematics & Information Sciences (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, 93.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% 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 0.00% of all publications and 100.00% 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.
P. Venkata Mohan Reddy;M. Maria Susai Manuel;Adem Kılıcman
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