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Journal of Grid Computing
H-index 18

Journal of Grid Computing

1570-7873

Published by: Springer

https://www.springer.com/journal/10723

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 327 49 49 18

Additional Metrics

Number of Best Scientists*: 55
Documents by Best Scientists*: 55
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 63
SCIMAGO SJR: 0.734
Impact Factor: 2.9

Overview

Top Research Topics at Journal of Grid Computing?

The primary areas of discussion in Journal of Grid Computing are Distributed computing, Grid computing, Cloud computing, Resource (project management) and Scheduling (computing). It explores topics in Distributed computing which can be helpful for research in disciplines like Computer network, Provisioning, Scalability and Workflow. The Workflow works, particularly on Workflow management system are tackled in the journal.

Journal of Grid Computing explores research in Workflow management system and the adjacent study of Workflow engine. The research on Workflow engine discussed in it draws on the closely related field of Workflow technology. In the journal, Semantic grid, Operating system and Database are investigated in conjunction with one another to address concerns in Grid computing research.

The studies on Cloud computing discussed can also contribute to research in the domains of Virtual machine, Software deployment, Workload, Quality of service and Enhanced Data Rates for GSM Evolution. The Enhanced Data Rates for GSM Evolution research dealing mostly with Edge computing is the focus of it. The Scheduling (computing) study tackling the subject of Job shop scheduling is the focus of Journal of Grid Computing.

  • Distributed computing (46.70%)
  • Grid computing (25.18%)
  • Cloud computing (21.27%)

What are the most cited papers published in the journal?

  • A Taxonomy of Workflow Management Systems for Grid Computing (747 citations)
  • Instrumentation and measurement (603 citations)
  • Mapping Abstract Complex Workflows onto Grid Environments (468 citations)

Research areas of the most cited articles at Journal of Grid Computing:

The most cited publications tackle a plethora of topics, such as Distributed computing, Grid computing, Workflow, Scheduling (computing) and Database. The journal publications address concerns in Distributed computing which are intertwined with other disciplines, such as Resource allocation, Job scheduler, Resource (project management), Interface (Java) and Fair-share scheduling. The most cited papers explore topics in Grid computing which can be helpful for research in disciplines like Scalability, Operating system and Service (systems architecture).

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

  • Operating system
  • Computer network
  • The Internet

The previous edition focused in particular on these issues:

The journal primarily tackles Cloud computing, Distributed computing, Enhanced Data Rates for GSM Evolution, Resource (project management) and Edge computing. Topics in Cloud computing were tackled in line with various other fields like Ant colony optimization algorithms, Software deployment and Computer network, Server, Provisioning. While work presented in the journal provided substantial information on Distributed computing, it also covered topics in Scheduling (computing), The Internet, Workflow and Mobile edge computing.

While Workflow is the focus of Journal of Grid Computing, it also provided insights into the studies of Container (abstract data type) and Frequency scaling. Business process reengineering, Data management, Microservices and Analytics, Data science are some topics wherein Resource (project management) research discussed in the journal have an impact. The Edge computing works featured in it incorporate elements from Computer security, Optimization algorithm, Scheduling (production processes) and Data placement.

The most cited articles from the last journal are:

  • Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments (5 citations)
  • An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment (3 citations)
  • Opportunistic Deployment of Distributed Edge Clouds for Latency-Critical Applications (3 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 Journal of Grid Computing (based on the number of publications) are:

  • Ian Foster (8 papers) absent at the last edition,
  • Péter Kacsuk (8 papers) absent at the last edition,
  • József Kovács (7 papers) absent at the last edition,
  • Germán Moltó (6 papers) published 2 papers at the last edition,
  • Carl Kesselman (6 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 Journal of Grid Computing (based on the number of publications) are:

  • CERN (15 papers) absent at the last edition,
  • Islamic Azad University (12 papers) published 5 papers at the last edition the same number as at the previous edition,
  • University of Southern California (9 papers) absent at the last edition,
  • Argonne National Laboratory (9 papers) absent at the last edition,
  • Spanish National Research Council (8 papers) published 1 paper at the last edition the same number as 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, 16.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.22% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.56% 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 55.56% 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 and Development in the Grid Computing Domain

While understanding and studying various topics in Grid Computing is crucial, it's equally important for aspiring professionals in this field to understand the career paths and opportunities available to them. As Grid Computing continues to evolve and impact various industries, there is a rise in demand for skilled professionals in this domain. One such growing career opportunity in this field is teaching. If you're passionate about Education and interested in sharing your knowledge and expertise with others, becoming a preschool teacher who specializes in introducing fundamental Grid computing concepts can be a rewarding career path. Living in New Hampshire and considering a career in teaching Grid Computing at the preschool level? Learn more about the requirements, necessary credentials, and the process on how you can turn your passion into a career. Read more on how do you become a preschool teacher in New Hampshire. Industry-standard certifications can greatly boost your career progression in the Grid Computing domain. To elevate your career prospects, consider developing new skills, gaining hands-on experience, and seeking mentorship from industry veterans. Also, staying up-to-date with the latest research papers and findings in the Journal of Grid Computing can expose you to new insights and methodologies, thus enhancing your expertise further.

Top Publications

  • Resource Management Approaches in Fog Computing: a Comprehensive Review

    Mostafa Ghobaei-Arani;Alireza Souri;Ali A. Rahmanian

    (2020)
    346 Citations
  • A Survey on the Computation Offloading Approaches in Mobile Edge/Cloud Computing Environment: A Stochastic-based Perspective

    Ali Shakarami;Mostafa Ghobaei-Arani;Mohammad Masdari;Mehdi Hosseinzadeh;Mehdi Hosseinzadeh

    (2020)
    153 Citations
  • Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review

    Mehdi Hosseinzadeh;Mehdi Hosseinzadeh;Marwan Yassin Ghafour;Hawkar Kamaran Hama;Bay Vo

    (2020)
    93 Citations
  • Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis

    Hamid Darabian;Sajad Homayounoot;Ali Dehghantanha;Sattar Hashemi

    (2020)
    83 Citations
  • Towards Blockchain-Enabled Security Technique for Industrial Internet of Things Based Decentralized Applications

    Ali Hassan Sodhro;Ali Hassan Sodhro;Ali Hassan Sodhro;Sandeep Pirbhulal;Muhammad Muzammal;Luo Zongwei;Luo Zongwei

    (2020)
    79 Citations
  • An Energy Efficient Algorithm for Workflow Scheduling in IaaS Cloud

    Vishakha Singh;Indrajeet Gupta;Prasanta K. Jana

    (2020)
    56 Citations
  • Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach

    Ali Shahidinejad;Fariba Farahbakhsh;Mostafa Ghobaei-Arani;Mazhar Hussain Malik

    (2021)
    45 Citations
  • Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments

    Mehdi Hosseinzadeh;Mehdi Hosseinzadeh;Mohammad Masdari;Amir Masoud Rahmani;Amir Masoud Rahmani;Mokhtar Mohammadi

    (2021)
    44 Citations
  • Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder

    (2021)
    37 Citations
  • Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks

    Kai Lei;Junjie Fang;Qichao Zhang;Junjun Lou

    (2020)
    31 Citations

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Best Scientists Contributing to This Journal

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