Journal of Supercomputing

Top Research Topics at The Journal of Supercomputing?

The Journal of Supercomputing explores disciplines such as Distributed computing, Parallel computing, Computer network, Cloud computing and Algorithm. The research on Distributed computing featured in the journal combines topics in other fields like Energy consumption, Scheduling (computing), Scalability and Server. Energy consumption research discussed connects with the study of Efficient energy use.

The journal tackles issues in Parallel computing, particularly in the topics of Supercomputer, Speedup, Parallel algorithm, Multi-core processor and CUDA. Network packet and Wireless sensor network are all aspects of Computer network research featured in The Journal of Supercomputing. The studies on Cloud computing discussed can also contribute to research in the domains of Computer security, Virtual machine and Quality of service.

• Distributed computing (20.99%)
• Parallel computing (18.85%)
• Computer network (12.53%)

What are the most cited papers published in the journal?

• Wireless sensor networks: a survey on recent developments and potential synergies (699 citations)
• The superblock: an effective technique for VLIW and superscalar compilation (539 citations)
• Energy efficient utilization of resources in cloud computing systems (456 citations)

Research areas of the most cited articles at The Journal of Supercomputing:

The journal papers investigate areas of study like Distributed computing, Cloud computing, Computer network, Parallel computing and Computer security. The most cited papers focus on Distributed computing but the discussions also offer insight into other areas such as Scalability, Resource allocation, Energy consumption, Grid and Scheduling (computing). The most cited papers hold forums on Cloud computing that merge themes from other disciplines such as Virtual machine and Quality of service.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Operating system
• Computer network

The previous edition focused in particular on these issues:

The aim of The Journal of Supercomputing is to expand the discussion of research in Artificial intelligence, Cloud computing, Distributed computing, Deep learning and Algorithm. Machine learning and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal have an impact. While work presented in it provided substantial information on Cloud computing, it also covered topics in Virtual machine and Computer network, Quality of service, Scheduling (computing), Load balancing (computing).

The majority of Scheduling (computing) studies in it are focused on the subject of Job shop scheduling. Distributed computing research featured in the journal incorporates concerns from various other topics such as Energy consumption, Scalability and Resource (project management).

The most cited articles from the last journal are:

• An AI?based intelligent system for healthcare analysis using Ridge?Adaline Stochastic Gradient Descent Classifier (24 citations)
• Secure Communication between UAVs Using a Method Based on Smart Agents in Unmanned Aerial Vehicles (17 citations)
• A lightweight remote user authentication scheme for IoT communication using elliptic curve cryptography (15 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in The Journal of Supercomputing (based on the number of publications) are:

• Chao-Tung Yang (32 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Jong Hyuk Park (31 papers) absent at the last edition,
• Laurence T. Yang (24 papers) absent at the last edition,
• Young-Sik Jeong (23 papers) absent at the last edition,
• Enrique S. Quintana-Ortí (23 papers) published 3 papers at the last edition the same number as at the previous edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in The Journal of Supercomputing (based on the number of publications) are:

• Islamic Azad University (166 papers) published 64 papers at the last edition, 43 more than at the previous edition,
• Electronics and Telecommunications Research Institute (67 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Polytechnic University of Valencia (65 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Chinese Academy of Sciences (62 papers) published 8 papers at the last edition, 1 less than at the previous edition,
• Amirkabir University of Technology (54 papers) published 12 papers at the last edition, 10 more than at the previous edition.

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.

Publication chance based on affiliation

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, 11.93% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.21% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.48% of all publications and 68.39% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Supercomputing

While this article extensively discusses the research focuses and authorship details in The Journal of Supercomputing, it lacks valuable information on career opportunities in the field of supercomputing. This includes potential job roles that this area of research can lead directly, like becoming an elementary school teacher with a specialty in supercomputing in Indiana.

There are many career paths to venture in this vast area of computing. For example, individuals can become a Supercomputing Systems Administrator, Network Systems Engineer, Data Scientist, Big Data Engineer, or even specialize in teaching supercomputing concepts at various levels of education. In fact, teaching could be an exhilarating option for individuals who not only love the supercomputing science but also have a knack for imparting knowledge. An excellent example is becoming an elementary school teacher with a focus on supercomputing in Indiana. This role entails introducing young minds to the world of supercomputing while shaping their interest and knowledge in the field.

Accessibility to such career information would provide a comprehensive understanding about the applicability of the research work published in the Journal of Supercomputing, and a clearer path for aspiring professionals in this field.