| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1024 | 5 | 11 | 3 |
Software development, Artificial intelligence, Mathematical optimization, Software engineering and Data mining are among the topics commonly tackled in the journal. The Artificial intelligence works featured in it incorporate elements from Natural language processing, Machine learning, Computer vision and Pattern recognition. The study on Mathematical optimization presented is investigated in conjunction with research in Scheduling (computing).
The most cited papers aim to foster the development of research in Artificial intelligence, Mathematical optimization, Software development, Data mining and Scheduling (computing). The journal publications about Ant colony are all disciplines of Artificial intelligence that connect with topics in Time windows. The works on Software development tackled in the published articles bring together disciplines like Multi criteria decision, Intuitionistic fuzzy and Software engineering.
Foundations of Computing and Decision Sciences focuses largely on the fields of Software development, Mathematical analysis, Applied mathematics, Management science and Space (mathematics). Foundations of Computing and Decision Sciences blends together research topics in Software development and Cigarette smoking. Foundations of Computing and Decision Sciences explores themes in Mathematical analysis like Legendre polynomials and links them with other fields of study like Matrix method and Euclidean geometry.
The studies on Applied mathematics discussed can also contribute to research in the domains of Integral equation and Partial differential equation. Some problems in Management science that were presented in the journal overlapped with concepts under Supply chain management, Multicriteria decision and Multi-objective optimization. The journal explores topics in Space (mathematics) which can be helpful for research in disciplines like Curve of constant width, Constant (mathematics), Polynomial and Harmonic (mathematics).
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 Foundations of Computing and Decision 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 Foundations of Computing and Decision 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, 5.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 38.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 27.78% 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 line with the emphasis on Artificial Intelligence, Mathematical Optimization, and Software Development in this journal, potential readers and researchers might be interested to know about the many career paths these disciplines open. For instance, they can become software developers, data scientists, research analysts, AI specialists, and even educators. In particular, those who are interested in the educational sector could consider taking on roles such as a Preschool Teacher Assistant who specializes in introducing basic computing and decision science principles to young minds. The curriculum for such a position could incorporate preliminary topics covered in our journal, such as the basics of software development and a beginner's introduction to artificial intelligence. Prospective candidates interested in exploring roles like these within Pennsylvania can refer to the requirements and job descriptions detailed within our comprehensive guide on becoming a preschool teacher assistant. For more information and to understand the specific prerequisites, head over to this section: preschool teacher assistant requirements in Pennsylvania. Moving forward, with the continuous advancement of technology and decision sciences, we foresee an increasing number of opportunities opening up in related fields. We encourage our readers and researchers to investigate these prospects and make their academic pursuit a foundation for a successful career. The aforementioned example is just one of many career paths our readers could explore. We believe that the knowledge and insights gleaned from our journal can provide an excellent foundation for ventures into a variety of promising professional journeys.
Alireza Goli;Erfan Babaee Tirkolaee;Gerhard-Wilhelm Weber;Gerhard-Wilhelm Weber
(2021)Grzegorz J. Nalepa;Jerzy Stefanowski
(2020)Burcu Gürbüz;Gerhard-Wilhelm Weber
(2021)Aisha Batool;Muhammad Bilal Bashir;Muhammad Babar;Adnan Sohail
(2021)Burcu Gürbüz;Gerhard-Wilhelm Weber
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