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International Journal of Parallel, Emergent and Distributed Systems
H-index 6

International Journal of Parallel, Emergent and Distributed Systems

1744-5760

Published by: Taylor & Francis

https://www.tandfonline.com/toc/gpaa20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 757 23 30 6

Additional Metrics

Number of Best Scientists*: 33
Documents by Best Scientists*: 37
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 27
SCIMAGO SJR: 0.276
Impact Factor: N/A

Overview

Top Research Topics at International Journal of Parallel, Emergent and Distributed Systems?

The main points discussed in International Journal of Parallel, Emergent and Distributed Systems deals with Distributed computing, Computer network, Algorithm, Parallel computing and Artificial intelligence. The work on Distributed computing presented in the journal focuses on Fault tolerance in particular. Some problems in Computer network that were presented in the journal overlapped with concepts under Wireless and Wireless network.

The Wireless sensor network study tackled is a key component of adjacent topics in the area of Key distribution in wireless sensor networks. The study on Static routing presented in International Journal of Parallel, Emergent and Distributed Systems intersects with subjects under the field of Link-state routing protocol.

  • Distributed computing (27.05%)
  • Computer network (19.18%)
  • Algorithm (10.79%)

What are the most cited papers published in the journal?

  • Time-varying graphs and dynamic networks (400 citations)
  • Performance and accuracy of hardware-oriented native-, emulated-and mixed-precision solvers in FEM simulations (127 citations)
  • Concurrent number cruncher: a GPU implementation of a general sparse linear solver (124 citations)

Research areas of the most cited articles at International Journal of Parallel, Emergent and Distributed Systems:

The published articles are mainly concerned with subjects like Distributed computing, Theoretical computer science, Scheduling (computing), Computer network and Artificial neural network. The journal articles with studies in Distributed computing featured incorporate elements of Service (systems architecture), Wireless sensor network, Cluster analysis, Connectivity and Mathematical optimization. While the most cited publications focused on Theoretical computer science, they were also able to explore topics like Class (computer programming), Computation, Rotation formalisms in three dimensions and Formalism (philosophy).

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:

International Journal of Parallel, Emergent and Distributed Systems mostly deals with topics like Computer network, Distributed computing, Artificial intelligence, P system and Algorithm. Discussions in it are anchored in the subject of Computer network and the similar topic of Architecture. In it, Synchronization (computer science), Perspective (graphical) and Cloud computing are investigated in conjunction with one another to address concerns in Distributed computing research.

The studies in Artificial intelligence featured incorporate elements of Particle swarm optimization, Computer vision and Pattern recognition. While work presented in International Journal of Parallel, Emergent and Distributed Systems provided substantial information on Algorithm, it also covered topics in Simplicity, k-means clustering, Selection (genetic algorithm) and Cluster (physics). The journal holds forums on Reliability (computer networking) that merges themes from other disciplines such as Class (computer programming), Wireless network and Provisioning.

The most cited articles from the last journal are:

  • Detecting Sybil attacks in vehicular ad hoc networks (6 citations)
  • A swarm intelligent approach to data ferrying in sparse disconnected networks (4 citations)
  • Automatic offloading method of loop statements of software to FPGA (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 International Journal of Parallel, Emergent and Distributed Systems (based on the number of publications) are:

  • Selim G. Akl (14 papers) absent at the last edition,
  • Jie Wu (14 papers) absent at the last edition,
  • Andrew Adamatzky (9 papers) absent at the last edition,
  • Koji Nakano (8 papers) absent at the last edition,
  • Amiya Nayak (5 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 International Journal of Parallel, Emergent and Distributed Systems (based on the number of publications) are:

  • Queen's University (15 papers) absent at the last edition,
  • University of the West of England (14 papers) absent at the last edition,
  • University of Ottawa (13 papers) absent at the last edition,
  • Florida Atlantic University (8 papers) absent at the last edition,
  • Hiroshima University (8 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, 4.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.63% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 79.07% 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.

How to Become a Contributor to the International Journal of Parallel, Emergent and Distributed Systems

If you’re interested in contributing to the International Journal of Parallel, Emergent and Distributed Systems, it’s important to familiarize yourself with their main areas of focus which include Distributed computing, Computer networks, Algorithms, Parallel computing, and Artificial Intelligence.

Note that the journal highly welcomes authors who can delve into specific topics under these broader categories. For instance, research on Fault tolerance in Distributed computing, Key distribution in Wireless sensor networks, and issues on Link-state routing protocols in Computer networks have been particularly popular topics in past editions of the journal.

Before you start writing, ensure you review past editions of the journal to get a better understanding of the format, style and research areas that resonate strongly with the readers. Also, remember to adhere to academic standards of precision, accuracy and thoroughness in your research and writing.

Whether you’re a novice, competent, experienced, master or star level researcher, your contributions are welcome in the International Journal of Parallel, Emergent and Distributed Systems, as long as your work adds value to the existing body of knowledge in these areas.

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Top Publications

  • Estimation of fog utility pricing: a bio-inspired optimisation techniques' perspective

    Hafsa Arshad;Hasan Ali Khattak;Zoobia Ameer;Assad Abbas

    (2020)
    10 Citations
  • Non-clairvoyant and randomised online task offloading in mobile edge computing

    (2022)
    9 Citations
  • Computer vision: the last 50 years

    Linda G. Shapiro

    (2020)
    9 Citations
  • From strong to exact Petri net computers

    (2021)
    8 Citations
  • Diagnosability of interconnection networks: past, present and future

    Eddie Cheng;Ke Qiu;Zhizhang Shen

    (2020)
    8 Citations
  • How to encrypt a graph

    Selim G. Akl

    (2020)
    7 Citations
  • A greedy approach for carpool scheduling optimisation in smart cities

    Yubin Duan;Jie Wu;Huanyang Zheng

    (2020)
    6 Citations
  • A reward response game in the blockchain-powered federated learning system

    Suhan Jiang;Jie Wu

    (2021)
    6 Citations
  • When is deep learning better and when is shallow learning better: qualitative analysis

    (2022)
    6 Citations
  • A general approach to deriving diagnosability results of interconnection networks*

    (2022)
    5 Citations

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