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Scalable Computing: Practice and Experience
H-index 4

Scalable Computing: Practice and Experience

1895-1767

Published by: Universitatea de Vest din Timișoara

https://www.scpe.org/index.php/scpe/index

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 964 19 21 3

Additional Metrics

Number of Best Scientists*: 39
Documents by Best Scientists*: 38
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 26
SCIMAGO SJR: 0.218
Impact Factor: N/A

Overview

Top Research Topics at Scalable Computing: Practice and Experience?

The primary areas of discussion in Scalable Computing: Practice and Experience are Distributed computing, Parallel computing, Cloud computing, Scalability and Computer network. In Scalable Computing: Practice and Experience, Grid computing, Scheduling (computing) and Real-time computing are investigated in conjunction with one another to address concerns in Distributed computing research. The research on Parallel computing tackled can also make contributions to studies in the areas of Algorithm, Computation and Programming paradigm.

In addition to Cloud computing research, Scalable Computing: Practice and Experience aims to explore topics under Computer security and Data science.

  • Distributed computing (32.60%)
  • Parallel computing (15.56%)
  • Cloud computing (12.38%)

What are the most cited papers published in the journal?

  • The GridWay Framework for Adaptive Scheduling and Execution on Grids (139 citations)
  • Parrot: Transparent User-Level Middleware for Data-Intensive Computing (91 citations)
  • JuxMem: An Adaptive Supportive Platform for Data Sharing on the Grid (80 citations)

Research areas of the most cited articles at Scalable Computing: Practice and Experience:

The published papers are organized to reinforce research efforts on Distributed computing, Cloud computing, Data science, Software and World Wide Web. The journal publications explore topics in Distributed computing which can be helpful for research in disciplines like Grid computing, Real-time computing, Benchmark (computing), Scheduling (computing) and Programming paradigm. The most cited publications focus on Cloud computing but the discussions also offer insight into other areas such as Software deployment, Software engineering, Services computing and Application lifecycle management.

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

  • Operating system
  • Artificial intelligence
  • Programming language

The previous edition focused in particular on these issues:

The journal investigates areas of study like Wireless sensor network, Computer security, Insider, Distributed computing and Finite-state machine. Topics in Wireless sensor network were tackled in line with various other fields like Sleep scheduling, Selection (genetic algorithm), Data mining and Function (engineering). More specifically, the research on Distributed computing in Scalable Computing: Practice and Experience is related to Application checkpointing.

The most cited articles from the last journal are:

  • A Novel Sentiment Analysis for Amazon Data with TSA based Feature Selection (1 citations)
  • A Microservice Decomposition Method Through Using Distributed Representation of Source Code (0 citations)
  • Estimation of Traffic Matrix from Links Load using Genetic Algorithm (0 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.

The top authors publishing in Scalable Computing: Practice and Experience (based on the number of publications) are:

  • Marcin Paprzycki (20 papers) absent at the last edition,
  • Dana Petcu (17 papers) absent at the last edition,
  • Lonnie R. Welch (10 papers) absent at the last edition,
  • Roman Trobec (8 papers) absent at the last edition,
  • Maria Ganzha (7 papers) absent at the last 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Scalable Computing: Practice and Experience (based on the number of publications) are:

  • VIT University (14 papers) published 1 paper at the last edition, 6 less than at the previous edition,
  • Lovely Professional University (6 papers) absent at the last edition,
  • National Institute of Technology, Srinagar (5 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Nirma University of Science and Technology (5 papers) absent at the last edition,
  • Duy Tan University (5 papers) absent at the last 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, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 33.33% 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 Paths in Scalable Computing Research

Interested in contributing to the field of scalable computing? Pursuing a career in this domain can lead to multiple rewarding roles, including opportunities to work as a special education teacher specializing in computer science and computing. Teaching this subject requires proficiency in many of the research areas discussed in the Scalable Computing: Practice and Experience journal, such as Distributed Computing, Cloud Computing, and Data Science. As a special education teacher in this field, your responsibilities would not only involve imparting knowledge about various computing concepts, but also designing an adaptive learning environment to cater to the unique needs of each student. While this role can be challenging, it is equally fulfilling as it allows you to make significant contributions to inclusive education. To get started in this meaningful career, you need to fulfill certain educational and certification requirements. Click special ed teacher requirements arizona to learn more about the educational path towards becoming a special education teacher in computer science. Making strides in Scalable Computing: Practice and Experience is just the first step towards making a difference in lives, education, and computing.

Top Publications

  • Image-based Seat Belt Fastness Detection using Deep Learning

    (2022)
    5 Citations
  • Network Virus and Computer Network Security Detection Technology Optimization

    (2021)
    4 Citations
  • Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions

    Anand Nayyar;Pijush Kanti Dutta Pramanik;Rajni Mohana

    (2020)
    4 Citations
  • A Survey on AI-based Parkinson Disease Detection: Taxonomy, Case Study, and Research Challenges

    (2024)
    3 Citations
  • Performance Analysis of Video On-demand and Live Video Streaming using Cloud based Services

    Ujas Patel;Sudeep Tanwar;Anuja Nair

    (2020)
    3 Citations
  • Introduction to the Special Issue on Artificial Intelligence for Smart Cities and Industries

    Ashutosh Sharma;Pradeep Kumar Singh;Wei-Chiang Hong;Gaurav Dhiman

    (2021)
    2 Citations
  • Intelligent Prediction of Network Security Situations based on Deep Reinforcement Learning Algorithm

    (2024)
    1 Citations
  • Data Mining Analysis for Improving Decision-Making in Computer Management Information Systems

    (2023)
    1 Citations
  • Channel Estimation of Urban 5G Communication System based on Improved Particle Swarm Optimization Algorithm

    (2024)
    0 Citations
  • Cigarette Production Line Flow Automatic Control System Based on PLC Technology and Embedded Software

    (2023)
    0 Citations

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Best Scientists Contributing to This Journal