| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 488 | 41 | 41 | 12 |
The discussions in International Journal of Parallel Programming mainly cover the fields of Theory of computation, Parallel computing, Algorithm, Distributed computing and Programming language. The studies on Theory of computation discussed can also contribute to research in the domains of Theoretical computer science, Set (abstract data type), Artificial intelligence, Scheduling (computing) and Computation. The Theoretical computer science study featured in the journal draws parallels with the field of Data structure.
The studies tackled, which mainly focus on Artificial intelligence, apply to Natural language processing as well. In addition to Parallel computing research, the journal aims to explore topics under Scalability and Compiler. The work on Algorithm presented in it focuses on Parallel algorithm in particular.
The most cited publications mainly deal with areas of study such as Parallel computing, Theory of computation, Programming language, Compiler and Multiprocessing. The most cited articles explore research in Parallel computing and the adjacent study of Scalability. The presentations in the journal articles focused mostly on Theory of computation in an attempt to further explore topics in Algorithm.
International Journal of Parallel Programming generally zeroes in on subjects such as Theory of computation, Pharmacy, Clinical pharmacology, Parallel computing and Internal medicine. The concepts on Theory of computation presented in it can also apply to other research fields, including Soft error, Distributed computing, Parallelism (grammar), Scheduling (computing) and Multi-core processor. International Journal of Parallel Programming explores topics in Distributed computing which can be helpful for research in disciplines like Supercomputer, Deep learning, Artificial intelligence, Cloud computing and Big data.
The journal investigates Pharmacy in the context of the closely related subject of areas like
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 Parallel Programming (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 Parallel Programming (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, 54.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.73% of all publications and 66.67% 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.
If you are interested in diving deeper into the field of Parallel Programming, or if you are considering a career in this fascinating area, it’s crucial to know about the appropriate academic paths. Pursuing specialized degrees or certifications in areas such as Theory of computation, Parallel computing, Algorithm, and Distributed Computing can help set a solid foundation for your career. This can further broaden your horizons in associated fields like Artificial Intelligence and Natural Language Processing too.
Often, starting with a bachelor’s degree in Computer Science or similar fields is a good starting point. However, if you're already working or seeking specialized roles in education, it's always a good idea to consider specific paths. For instance, if you're contemplating a career in special education, you may find this guide on how to become a special education teacher in Idaho useful.
For more advanced learning, consider graduate-level studies in Parallel Programming. Universities worldwide offer Masters and Ph.D. programs to delve deeper into the topic. You can also attend conferences, webinars, and subscribe to relevant journals like the International Journal of Parallel Programming - these can be greatly beneficial for staying updated with the latest research and findings in the field.
Online courses from platforms like Coursera, Udemy, LinkedIn Learning, and EdX can also give you the flexibility to learn at your own pace from leading institutions. Remember, continual learning, upskilling, and training are critical components of a successful career in Parallel Programming.
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