| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1111 | 4 | 4 | 2 |
The journal was organized to reinforce research efforts on Algorithm, Programming language, Algebra, Artificial intelligence and Theoretical computer science. Programming and Computer Software centers on topics in Programming language, with a focus on Compiler. The journal explores issues in Algebra which can be linked to other research areas like Discrete mathematics and Computation.
Computer vision and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal have an impact. Research on Symbolic computation presented in Programming and Computer Software concerns the broader topic of Mathematical analysis.
The published articles primarily focus on research topics in Algorithm, Database, Discrete mathematics, Programming language and Information retrieval. While the published articles focused on Database, they were also able to explore topics like Web application, Smart card and Ticket. Most of the Programming language studies addressed in the most cited articles also intersect with Theoretical computer science.
Programming and Computer Software investigates areas of study like Symbolic computation, Artificial intelligence, Algorithm, Computation and Software. The journal addresses concerns in Symbolic computation which are intertwined with other disciplines, such as Linear subspace, Basis (universal algebra), Constant coefficients, Ordinary differential equation and Polynomial. While Programming and Computer Software focused on Artificial intelligence, it was also able to explore topics like Computer vision and Pattern recognition.
In addition to Algorithm research, Programming and Computer Software aims to explore topics under Encryption and Product (mathematics). The studies on Computation discussed can also contribute to research in the domains of Tensor (intrinsic definition), Expression (mathematics), Canonical form, Colored graph and Cover (algebra). Scientific visualization, Orange (software), Tangible user interface, Software engineering and Cyber-physical system are some topics wherein Software research discussed in the journal have an impact.
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 Programming and Computer Software (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 Programming and Computer Software (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, 30.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 92.86% 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 7.14% of all publications and 0.00% 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.
With the breadth of research carried out in the field of Programming and Computer Software, potential career paths can range from data analysts to software developers, and even math teachers who can apply their skills to teach programming concepts. For instance, if you're interested in teaching young minds how to apply mathematical principles in the context of software development, you might be wondering how long does it take to become a middle school math teacher in Rhode Island. The processes and principles you apply in the computers science field might be similar to those you'd apply when teaching math, particularly when it comes to problem-solving and analytical skills. Offering a different perspective to education, getting involved in bridging the gap between math and programming can provide students a solid foundation of necessary skills they can apply across numerous industries and career paths.
Viacheslav V. Danilov;Viacheslav V. Danilov;Olga M. Gerget;K. Yu. Klyshnikov;Alejandro F. Frangi
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