World's Best Scientists 2026 revealed!
Computer Networks
H-index 59

Computer Networks

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 52 495 717 58
Electronics and Electrical Engineering 76 200 325 38

Additional Metrics

Number of Best Scientists*: 627
Documents by Best Scientists*: 822
Top 100 Ranked Scientists*: 16
SCIMAGO H-index: 166
SCIMAGO SJR: 1.17
Impact Factor: 4.6

Overview

Top Research Topics at Computer Networks?

The journal is mainly concerned with subjects like Computer network, Distributed computing, Network packet, The Internet and Quality of service. While Computer network is the focus of Computer Networks, it also provided insights into the studies of Wireless, Wireless network and Throughput. The in-depth study on Throughput also explores topics in the intersecting field of Communication channel.

The Distributed computing works featured in it incorporate elements from Wireless sensor network, Network topology, Scalability and Scheduling (computing). It explores issues in Wireless sensor network which can be linked to other research areas like Energy consumption and Efficient energy use. Computer Networks dives deep in exploring the relationship between the study of Network packet and Real-time computing.

Computer Networks focuses on The Internet research which is adjacent to topics in Computer security. The majority of Computer security studies presented zero in on Authentication. The featured Link-state routing protocol studies mainly concentrate on Dynamic Source Routing but also cover areas of interest in Static routing.

  • Computer network (50.34%)
  • Distributed computing (19.37%)
  • Network packet (13.70%)

What are the most cited papers published in the journal?

  • Wireless sensor networks: a survey (15526 citations)
  • The Internet of Things: A survey (10419 citations)
  • NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey (5837 citations)

Research areas of the most cited articles at Computer Networks:

The most cited papers mostly deal with topics like Computer network, Distributed computing, Computer security, The Internet and Wireless sensor network. The journal publications focus on Computer network but the discussions also offer insight into other areas such as Wireless and Wireless network. While the published papers focused on Distributed computing, they were also able to explore topics like Node (networking), Network topology and Wireless ad hoc network.

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

  • Computer network
  • The Internet
  • Operating system

The previous edition focused in particular on these issues:

Computer network, Distributed computing, Network packet, Computer security and Artificial intelligence are the subjects of interest in the journal. The studies tackled, which mainly focus on Computer network, apply to Throughput as well. It focuses on Distributed computing but sometimes tackles the closely related topic of Cloud computing which is concerned with Enhanced Data Rates for GSM Evolution.

It is focused mainly on Network packet, particularly Forwarding plane. Topics in Computer security explored in the journal were investigated in conjunction with research in The Internet and Protocol (object-oriented programming). The journal focused on Artificial intelligence research but expanded to cover Machine learning.

The most cited articles from the last journal are:

  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications (24 citations)
  • Machine learning methods for cyber security intrusion detection: Datasets and comparative study (19 citations)
  • Efficient and flexible management for industrial Internet of Things: A federated learning approach (16 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 Computer Networks (based on the number of publications) are:

  • Azzedine Boukerche (30 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Marco Mellia (27 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Ian F. Akyildiz (26 papers) absent at the last edition,
  • C. Siva Ram Murthy (25 papers) absent at the last edition,
  • Antonio Capone (21 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 Computer Networks (based on the number of publications) are:

  • IBM (89 papers) absent at the last edition,
  • Tsinghua University (87 papers) published 10 papers at the last edition, 2 more than at the previous edition,
  • Polytechnic University of Turin (78 papers) published 8 papers at the last edition, 5 more than at the previous edition,
  • French Institute for Research in Computer Science and Automation (77 papers) published 5 papers at the last edition,
  • Polytechnic University of Catalonia (75 papers) published 1 paper at the last edition, 4 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, 6.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.18% of all publications and 72.39% 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 Prospects and Growth in the Field of Computer Networks

For individuals intrigued by the field of computer networks, based on the topical discussions and cutting-edge research featured in the journal, there is a wide scope for a stimulating and continually evolving career. As the field is inherently interdisciplinary, professionals in this area can opt to specialize in topics like distributed computing, network packet management, Internet security, wireless sensor network, throughput and many more. Due to the integral role of computer networks in various industries, there are numerous career prospects available. Professionals may assume roles in system administration, network engineering, cybersecurity, data administration, technical support, etc., in sectors as varied as technology firms, government agencies, educational institutions, healthcare organizations, financial services and more. It is important to note that most roles in this field require a post-secondary degree in computer science, information technology or related disciplines. However, the specific educational requirements can vary significantly depending on the job role and industry. The job aspirants in this field can consider checking out our comprehensive guide on how to become an English teacher in California. Finally, the rapidly evolving nature of technology implies that professionals in this field should be committed to continuous learning and skill advancement. Keeping abreast with latest techniques, tools and trends is crucial for career growth in the dynamic field of computer networks. This often involves participating in professional development activities, acquiring relevant certifications and publishing in esteemed journals like Computer Networks.

Top Publications

  • A compilation of UAV applications for precision agriculture

    Panagiotis I. Radoglou-Grammatikis;Panagiotis G. Sarigiannidis;Thomas Lagkas;Ioannis D. Moscholios

    (2020)
    877 Citations
  • Campus traffic and e-Learning during COVID-19 pandemic

    Thomas Favale;Francesca Soro;Martino Trevisan;Idilio Drago

    (2020)
    642 Citations
  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications

    Emilio Calvanese Strinati;Sergio Barbarossa

    (2021)
    477 Citations
  • IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

    Danish Vasan;Danish Vasan;Mamoun Alazab;Sobia Wassan;Hamad Naeem

    (2020)
    448 Citations
  • A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges

    Aleksandr Ometov;Viktoriia Shubina;Lucie Klus;Justyna Skibińska

    (2021)
    440 Citations
  • Faster R-CNN for multi-class fruit detection using a robotic vision system

    Shaohua Wan;Sotirios K. Goudos

    (2020)
    416 Citations
  • Machine learning methods for cyber security intrusion detection: Datasets and comparative study

    Ilhan Firat Kilincer;Fatih Ertam;Abdulkadir Sengur

    (2021)
    351 Citations

Related Online Degrees & Career Pathways

For those exploring further education in Computer Science, numerous online degree options can fit different needs and career goals. Many students consider easy masters degrees as a practical choice, especially if they want to balance studies with work or other commitments.

For advanced learners, finding most affordable doctoral programs is crucial to pursue specialized research or industry leadership roles without accumulating heavy debt. These economical options help widen access to high-level education.

Financial aid is another important factor. Many reputable online colleges that accept financial aid allow students to lower their educational expenses while earning valuable credentials remotely.

In addition, shorter online certification courses provide focused skill training that can boost employability and salary potential in tech fields without the time commitment of a full degree.

By considering these degree and certification pathways, aspiring computer science professionals can tailor their education to meet their financial situations and career ambitions.

Best Scientists Contributing to This Journal

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