| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 54 | 436 | 652 | 58 |
IEEE Transactions on Parallel and Distributed Systems primarily tackles Distributed computing, Computer network, Parallel computing, Scheduling (computing) and Scalability. The research on Distributed computing tackled can also make contributions to studies in the areas of Resource allocation, Quality of service, Network topology, Cloud computing and Server. While the primary focus in the journal is Resource allocation, it also dissects topics surrounding Load balancing (computing) and Load management as a whole.
The journal focused on Cloud computing research but expanded to cover Virtual machine. While work presented in IEEE Transactions on Parallel and Distributed Systems provided substantial information on Computer network, it also covered topics in Throughput and The Internet. Parallel computing and Computation are closely related fields of research discussed in the journal.
The journal connects research in Scheduling (computing) with the related topic of Schedule. In it, Key distribution in wireless sensor networks and Real-time computing are investigated in conjunction with one another to address concerns in Wireless sensor network research. It features research on Parallel algorithm in an attempt to reinforce studies in the field of Algorithm.
The journal articles primarily tackle Distributed computing, Computer network, Parallel computing, Scheduling (computing) and Wireless sensor network. In addition to Distributed computing research, the most cited articles aim to explore topics under Network topology, Scalability, Cloud computing and Resource allocation. Issues in Computer network were discussed in the journal papers, taking into consideration concepts from other disciplines like Wireless and The Internet.
Distributed computing, Parallel computing, Overhead (computing), Server and Deep learning are among the topics commonly tackled in the journal. Issues in Distributed computing were discussed, taking into consideration concepts from other disciplines like Energy consumption, Scheduling (computing), Dynamic priority scheduling, Job shop scheduling and Cloud computing. The journal explores topics in Cloud computing which can be helpful for research in disciplines like Quality of service, Task (computing), Resource management (computing) and Cluster analysis.
The Parallel computing works featured in it incorporate elements from Scalability and Memory management. IEEE Transactions on Parallel and Distributed Systems encompasses Server studies in the context of Computer network as a whole. The work on Deep learning tackled in IEEE Transactions on Parallel and Distributed Systems brings together disciplines like Artificial neural network, Sparse matrix, Reduction (complexity) and Von Neumann architecture.
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 IEEE Transactions on Parallel and Distributed Systems (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 IEEE Transactions on Parallel and Distributed Systems (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 2022 edition, 7.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.71% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.71% of all publications and 52.86% 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 field of parallel and distributed systems research offers various career possibilities for those who are passionate about technology and computer science. This field demands a highly technical skill set and expertise in complex systems. Aspirants may choose to immerse themselves in careers as software developers, system engineers, data analysts, information security analysts, or pursue a career in academia. Teaching positions are also an option and extend to roles such as lab assistants, lecturers, and professors in this specific field. For instance, positions such as a preschool teacher assistant may be the initial stepping stone to academia. The minimum qualification and other requirements for such positions vary depending on the location, such as preschool teacher assistant requirements in Iowa.
An advanced career path would involve working in research institutions or handling research projects, where the focus is on investigating and improving on distributed computing, computer networks, parallel computing, among others. Current opportunities in this sector could include roles with tech companies, universities, or digital agencies that utilise these systems.
Beside technical roles, parallel and distributed systems specialists can also venture into technical writing, patent analysis, technology consulting, and software sales. With the digital transformation of various industries, the demand for professionals with this expertise is expected to rise in the coming years. Recent graduates and individuals looking to switch career paths are encouraged to explore opportunities in parallel and distributed systems for better prospects.
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