World's Best Scientists 2026 revealed!
Journal of High Speed Networks
H-index 6

Journal of High Speed Networks

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 782 15 26 6

Additional Metrics

Number of Best Scientists*: 20
Documents by Best Scientists*: 31
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 23
SCIMAGO SJR: 0.244
Impact Factor: 1

Overview

Top Research Topics at Journal of High Speed Networks?

The main points discussed in the journal deals with Computer network, Distributed computing, Network packet, Quality of service and Real-time computing. The journal addresses concerns in Computer network which are intertwined with other disciplines, such as Throughput and Wavelength-division multiplexing. The research on Distributed computing tackled can also make contributions to studies in the areas of Static routing, Scheduling (computing), Scalability and Link-state routing protocol.

Xcast is a focus of the presented Multicast works and it dives deep in Xcast. The study on Xcast presented in the journal intersects with the topics under Source-specific multicast.

  • Computer network (62.33%)
  • Distributed computing (19.43%)
  • Network packet (11.32%)

What are the most cited papers published in the journal?

  • Optical burst switching (OBS) - a new paradigm for an optical Internet (1820 citations)
  • Terabit burst switching (793 citations)
  • Characterizing End-to-End Packet Delay and Loss in the Internet (367 citations)

Research areas of the most cited articles at Journal of High Speed Networks:

The most cited papers are organized to reinforce research efforts on Computer network, Distributed computing, Gigabit, Wavelength-division multiplexing and Network packet. The journal publications explore research in Wireless network and overlapping concepts in Mesh networking to expand the discourse in Computer network. The most cited papers focus on Network packet but sometimes tackle the closely related topic of The Internet which is concerned with Processing delay and Real-time computing.

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

  • Computer network
  • Operating system
  • The Internet

The previous edition focused in particular on these issues:

The topics of Computer network, World Wide Web, Fuzzy logic, Big data and Protocol (object-oriented programming) are the focal point of discussions in Journal of High Speed Networks. Presentations on Computer network include those discussing Energy efficient routing, Wireless sensor network, Resource allocation algorithm, Cloud gaming and Quality of service. Recommender system, Peer-to-peer and Collaborative filtering are some of the study areas of World Wide Web discussed.

The journal focuses on Fuzzy logic but the discussions also offer insight into other areas such as Data science, Edge computing, Routing protocol and Geocast. Big data research discussed in Journal of High Speed Networks aim to provide more information in the subject of Data mining. Journal of High Speed Networks tackles research in Secure multi-party computation as part of the general discipline of Protocol (object-oriented programming), however, it also discusses concepts in Binary search algorithm.

The most cited articles from the last journal are:

  • QoS and QoE aware multi objective resource allocation algorithm for cloud gaming (1 citations)
  • Oblivious stable sorting protocol and oblivious binary search protocol for secure multi-party computation (1 citations)
  • Single node repair algorithm for a multimedia cloud storage system based on network coding (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 Journal of High Speed Networks (based on the number of publications) are:

  • Leonard Barolli (16 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Makoto Ikeda (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Mohamed G. Gouda (6 papers) absent at the last edition,
  • Keita Matsuo (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Yi Liu (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 Journal of High Speed Networks (based on the number of publications) are:

  • Fukuoka Institute of Technology (17 papers) published 2 papers at the last edition the same number as at the previous edition,
  • IBM (14 papers) absent at the last edition,
  • National Cheng Kung University (11 papers) published 1 paper at the last edition,
  • Bell Labs (9 papers) absent at the last edition,
  • Polytechnic University of Catalonia (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, 23.81% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.25% 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 68.75% 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 for High Speed Network Researchers

This competitive field of High Speed Networks invigorates a resurgence in career opportunities beckoning researchers interested in distributed computing, real-time computing, quality of service and network packets. Many private and public institutions highly scrutinize specialists with proficiency in these areas for a wide range of positions, with roles ranging from research scientists to network administrators. In an educational scenario, research scientists with a background in High Speed Networks can leverage their expertise by transitioning to roles as academicians or private school teachers. Wyoming, for instance, presents an array of opportunities for such professionals. If you are considering a career in education, the private school teacher requirements in Wyoming could serve as a viable reference point. Ultimately, members of the High Speed Networks field have varied pathways to choose from and grow in their choice of specialization, be it as a researcher, network administrator or an educator. Indeed, their expertise is continually sought after as technology evolves, and new network paradigms emerge.

Top Publications

  • The state of art and review on video streaming

    (2023)
    17 Citations
  • HIBAF: A data security scheme for fog computing

    Whaiduzzaman;Whaiduzzaman;Nishat Farjana;Alistair Barros;Julkar Nayeen Mahi

    (2021)
    13 Citations
  • An energy-efficient quorum-based locking protocol by omitting meaningless methods on object replicas

    (2022)
    12 Citations
  • Prediction optimization of diffusion paths in social networks using integration of ant colony and densest subgraph algorithms

    Kasra Majbouri Yazdi;Adel Majbouri Yazdi;Saeid Khodayi;Jingyu Hou

    (2020)
    10 Citations
  • A fuzzy-based check-and-spray geocast routing protocol for opportunistic networks

    Khuram Khalid;Isaac Woungang;Sanjay K. Dhurandher;Jagdeep Singh

    (2021)
    7 Citations
  • Double Q-learning based routing protocol for opportunistic networks

    (2022)
    6 Citations
  • A comparison study of chi-square and uniform distributions of mesh clients for different router replacement methods using WMN-PSODGA hybrid intelligent simulation system

    Admir Barolli;Kevin Bylykbashi;Ermioni Qafzezi;Shinji Sakamoto

    (2021)
    5 Citations
  • A fuzzy-based approach for resource management in SDN-VANETs: Effect of trustworthiness on assessment of available edge computing resources

    Ermioni Qafzezi;Kevin Bylykbashi;Phudit Ampririt;Makoto Ikeda

    (2021)
    5 Citations
  • Deep learning trends and future perspectives of web security and vulnerabilities

    (2023)
    4 Citations
  • Effect of Slice Priority for admission control in 5G Wireless Networks: A comparison study for two Fuzzy-based systems considering Software-Defined-Networks

    Phudit Ampririt;Yi Liu;Makoto Ikeda;Keita Matsuo

    (2020)
    3 Citations

Related Online Degrees & Career Pathways

For those interested in advancing their education beyond a bachelor's degree in Computer Science, exploring doctoral programs online can be a strategic choice. These programs offer flexibility and often shorter durations than traditional pathways, making them ideal for working professionals aiming to deepen their expertise.

Additionally, pursuing a one year masters degree allows students to quickly gain specialized knowledge without a long-term commitment, preparing them for advanced roles in technology and leadership.

Choosing degrees with promising financial outcomes is important as well. Many students are attracted to the highest paying online degrees, which can provide a faster return on investment by combining career growth with competitive salaries.

Ultimately, aligning your studies with top degrees for the future ensures that you remain relevant in a rapidly evolving tech landscape. These majors often integrate emerging technologies and skills critical for long-term success in the global job market.

Best Scientists Contributing to This Journal

Recently Published Articles