World's Best Scientists 2026 revealed!
Digital Communications and Networks
H-index 41

Digital Communications and Networks

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 121 177 221 38
Electronics and Electrical Engineering 165 82 116 21

Additional Metrics

Number of Best Scientists*: 239
Documents by Best Scientists*: 275
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 54
SCIMAGO SJR: 1.44
Impact Factor: 7.5

Overview

Top Research Topics at Digital Communications and Networks?

Digital Communications and Networks mainly deals with areas of study such as Computer network, Wireless, Artificial intelligence, Computer security and Algorithm. Digital Communications and Networks addresses concerns in Computer network which are intertwined with other disciplines, such as Wireless network, Efficient energy use and Distributed computing. The journal is concerned with the study of Wireless and Telecommunications in general.

While work presented in the journal provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Computer vision and Pattern recognition. Computer security research is concerned with Blockchain in particular. Topics in Algorithm were tackled in line with various other fields like MIMO and Fading.

Digital Communications and Networks tackles topics on Fading, which can potentially contribute to the wider field of Communication channel.

  • Computer network (28.04%)
  • Wireless (12.15%)
  • Artificial intelligence (11.53%)

What are the most cited papers published in the journal?

  • Machine Learning for Internet of Things Data Analysis: A Survey (392 citations)
  • Edge computing technologies for Internet of Things: a primer (257 citations)
  • A blockchain future for internet of things security: a position paper (227 citations)

Research areas of the most cited articles at Digital Communications and Networks:

The published papers mostly deal with topics like Computer security, Computer network, Edge computing, Wireless and Distributed computing. In particular, the Computer security works presented in the journal publications emphasize discussions on Blockchain. The journal articles focus on Computer network research which is adjacent to topics in Power control.

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

  • Computer network
  • Artificial intelligence
  • The Internet

The previous edition focused in particular on these issues:

The aim of the journal is to expand the discussion of research in Computer network, Artificial intelligence, Computer security, Wireless and Machine learning. The Computer network study featured in it draws parallels with the field of Trust management (information system). Artificial intelligence research in Digital Communications and Networks involves the investigation of Task (project management) studies, all of which are linked to disciplines such as Focus (computing).

Aside from research in Computer security, it also discusses 5G studies. Quality of service, Software deployment and Data transmission are some topics wherein Wireless research discussed in the journal have an impact. Some problems in Data transmission that were presented in the journal overlapped with concepts under Scheduling (computing) and Communications system.

The most cited articles from the last journal are:

  • A blockchain-empowered AAA scheme in the large-scale HetNet (35 citations)
  • Privacy preservation in permissionless blockchain: A survey (13 citations)
  • Capacity maximizing in massive MIMO with linear precoding for SSF and LSF channel with perfect CSI (9 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 Digital Communications and Networks (based on the number of publications) are:

  • Mugen Peng (8 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Shiwen Mao (8 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Tao Jiang (8 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Bin Cao (5 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Shui Yu (5 papers) published 2 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Digital Communications and Networks (based on the number of publications) are:

  • Chongqing University of Posts and Telecommunications (24 papers) published 11 papers at the last edition, 6 more than at the previous edition,
  • Beijing University of Posts and Telecommunications (13 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Huazhong University of Science and Technology (12 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Auburn University (10 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of Electronic Science and Technology of China (9 papers) published 2 papers at the last edition, 1 less 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, 8.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.28% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.28% of all publications and 35.48% 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.

Top Publications

  • A systematic literature review of blockchain cyber security

    Paul J. Taylor;Tooska Dargahi;Ali Dehghantanha;Reza M. Parizi

    (2020)
    618 Citations
  • Security and privacy in 6G networks: New areas and new challenges

    Minghao Wang;Tianqing Zhu;Tao Zhang;Jun Zhang

    (2020)
    331 Citations
  • Performance analysis and comparison of PoW, PoS and DAG based blockchains

    Bin Cao;Bin Cao;Zhenghui Zhang;Daquan Feng;Shengli Zhang

    (2020)
    240 Citations
  • A Survey on User-Centric Cell-Free Massive MIMO Systems

    Unknown

    (2021)
    206 Citations
  • Attacks and defences on intelligent connected vehicles: a survey

    Mahdi Dibaei;Xi Zheng;Kun Jiang;Robert Abbas

    (2020)
    191 Citations
  • Real-time air pollution monitoring with sensors on city bus

    Sami Kaivonen;Edith C.-H. Ngai

    (2020)
    191 Citations
  • Privacy preservation in permissionless blockchain: A survey

    Li Peng;Wei Feng;Zheng Yan;Zheng Yan;Yafeng Li

    (2021)
    174 Citations
  • An ensemble deep learning model for cyber threat hunting in industrial internet of things

    (2022)
    136 Citations

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Best Scientists Contributing to This Journal