| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 926 | 8 | 10 | 4 |
Parallel computing, Algorithm, Parallel algorithm, Distributed computing and Combinatorics are the subjects of interest in Parallel Processing Letters. The Parallel computing works featured in it incorporate elements from Programming language, Computation and Scheduling (computing). The journal features Algorithm research that overlaps with concepts in Theoretical computer science.
The work tackled in the journal goes beyond the discipline of Parallel algorithm as it also encompasses Binary logarithm. Distributed computing study tackled is connected to the field of Scalability. Discrete mathematics and Upper and lower bounds are some topics wherein Combinatorics research discussed in Parallel Processing Letters have an impact.
The journal publications focus on Parallel computing, Algorithm, Parallel algorithm, Distributed computing and Theoretical computer science. The published articles address concerns in Parallel computing which are intertwined with other disciplines, such as Programming language and Computation. The published articles in Fault tolerance fall within the purview of Distributed computing but it also intertwines with topics in Asynchronous system.
The journal facilitates discussions on Graph (abstract data type), Combinatorics, Set (abstract data type), Hypercube and Interconnection. Most of the Combinatorics studies addressed also intersect with Embedding. In addition to Set (abstract data type) research, it aims to explore topics under CPU cache, Cache algorithms, Cache access and Parallel computing.
Issues in Hypercube were discussed, taking into consideration concepts from other disciplines like Fault tolerance and Reliability (statistics). While Fault tolerance is the focus of it, it also provided insights into the studies of Discrete mathematics, Liveness and Message passing. While it focused on Discrete mathematics, it was also able to explore topics like Upper and lower bounds and Simple (abstract algebra).
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 Parallel Processing Letters (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 Parallel Processing Letters (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, 11.63% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 52.63% 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 2.63% of all publications and 44.74% 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.
The intensive study and research in the field of parallel processing offers a multitude of career opportunities. For instance, opportunities for career growth exist in academics and research. Not only in these sectors, but it is also possible to pursue a career in the teaching profession specializing in parallel processing. If the teaching profession interests you, a career as a preschool teacher assistant could be a promising starting point. Especially in regions like Rhode Island, where the focus on early education is increasingly prevalent. For instance, you can find tips, requirements, and guidelines on how to transition into this role by reading this informative guide on how to become a preschool teacher assistant in Rhode Island. Job roles in parallel processing are not limited to academia and teaching but are also prevalent in various industries, including computing, mobile and wireless communication, financial trading, scientific research, and many more. The knowledge and skills gained from studying topics such as programming language, algorithm, binary logarithm, and scalability, to name a few, are highly transferable and lucrative across different sectors. Therefore, if you are keen on a career path that offers variety and challenges, the field of parallel processing could be a worthwhile consideration.
Giuseppe Agapito;Marianna Milano;Mario Cannataro
(2021)Jiafei Liu;Shuming Zhou;Eddie Cheng;Gaolin Chen
(2021)Karla Vargas;Sergio Rajsbaum;Michel Raynal;Michel Raynal
(2020)Michel Raynal;Michel Raynal
(2021)Eddie Cheng;Ke Qiu;Zhizhang Shen;Weihua Yang
(2020)Othon Michail;Paul G. Spirakis;Paul G. Spirakis;Michail Theofilatos
(2021)Adam Heriban;Sébastien Tixeuil
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