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IEEE Transactions on Cloud Computing
H-index 44

IEEE Transactions on Cloud Computing

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 98 332 432 43

Additional Metrics

Number of Best Scientists*: 387
Documents by Best Scientists*: 464
Top 100 Ranked Scientists*: 14
SCIMAGO H-index: 72
SCIMAGO SJR: 1.254
Impact Factor: 5

Overview

Top Research Topics at IEEE Transactions on Cloud Computing?

The journal investigates areas of study like Cloud computing, Distributed computing, Server, Computer network and Encryption. Cloud computing research featured in the journal incorporates concerns from various other topics such as Virtual machine, Scalability, Computer security, Quality of service and Scheduling (computing). It focused on Virtual machine research conducted under the discipline of Operating system.

The Computer security study tackled is a key component of adjacent topics in the area of Cloud computing security. The work on Distributed computing tackled in IEEE Transactions on Cloud Computing brings together disciplines like Virtualization, Resource allocation, Resource (project management), Data center and Provisioning. The work on Resource allocation addressed in the journal expands to the thematically related Resource management.

Energy consumption, Enhanced Data Rates for GSM Evolution, Real-time computing and Efficient energy use are some topics wherein Server research discussed in it have an impact. The research on Encryption tackled can also make contributions to studies in the areas of Information privacy, Database and Key (cryptography).

  • Cloud computing (89.59%)
  • Distributed computing (37.12%)
  • Server (18.83%)

What are the most cited papers published in the journal?

  • Assessment of the Suitability of Fog Computing in the Context of Internet of Things (388 citations)
  • Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks (256 citations)
  • Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services (233 citations)

Research areas of the most cited articles at IEEE Transactions on Cloud Computing:

The published papers are mainly concerned with subjects like Cloud computing, Distributed computing, Server, Computer network and Computer security. While work presented in the journal papers provide substantial information on Cloud computing, it also covers topics in Energy consumption and Virtual machine. The most cited publications focus on Distributed computing but the discussions also offer insight into other areas such as Real-time computing, Dynamic priority scheduling, Mobile computing, Mobile cloud computing and Provisioning.

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 IEEE Transactions on Cloud Computing (based on the number of publications) are:

  • Keqin Li (16 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Kim-Kwang Raymond Choo (16 papers) published 2 papers at the last edition, 8 less than at the previous edition,
  • Ximeng Liu (14 papers) published 2 papers at the last edition, 9 less than at the previous edition,
  • Albert Y. Zomaya (13 papers) published 1 paper at the last edition, 5 less than at the previous edition,
  • Samee U. Khan (11 papers) published 3 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 IEEE Transactions on Cloud Computing (based on the number of publications) are:

  • Huazhong University of Science and Technology (22 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Beijing University of Posts and Telecommunications (21 papers) published 10 papers at the last edition, 2 more than at the previous edition,
  • University of Texas at San Antonio (20 papers) published 3 papers at the last edition, 10 less than at the previous edition,
  • IBM (17 papers) published 4 papers at the last edition, 3 less than at the previous edition,
  • Shanghai Jiao Tong University (16 papers) published 3 papers at the last edition, 2 more 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, 20.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.23% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.03% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.03% of all publications and 38.71% 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 Opportunities in Cloud Computing

While the scope of our discussions has mostly been about research trends and citations in the field of cloud computing, it's equally important to highlight the career prospects that these research topics can lead to. In fact, one of the interesting career paths you can explore is becoming an elementary school teacher. If you are based in North Dakota, you might be interested in learning how to become an elementary teacher in North Dakota. Back to cloud computing, the fields of cloud computing, server and network can lead to a plethora of opportunities. For instance, skills in encryption and computer security are highly sought after in sectors such as finance, healthcare, and defense. Similarly, professionals skilled in distributed computing and resource allocation are in high demand in tech industries, especially in areas related to system design and data centers. Moreover, the growing influence of cloud computing in areas of energy consumption and efficient energy presents potential opportunities for environmental engineers and sustainability experts. In essence, understanding these research areas can be an entryway into deep-tech industries, green technologies, and sustainable solutions created for the future. Furthermore, career opportunities in these research areas are not just limited to technical roles. With training and proficiency in these topics, one can also find opportunities in policy planning, consultancy, and even in leadership roles in IT and tech firms. Ultimately, the possibilities are endless. Your journey through the fascinating world of cloud computing research can open doors to rewarding careers, challenging projects, and incessant learning opportunities.

Top Publications

  • Energy Efficient Dynamic Offloading in Mobile Edge Computing for Internet of Things

    Ying Chen;Ning Zhang;Yongchao Zhang;Xin Chen

    (2021)
    288 Citations
  • Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big Data

    Zheng Xu;Yunhuai Liu;Neil Y. Yen;Lin Mei

    (2020)
    269 Citations
  • Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors

    Yuan Zhang;Chunxiang Xu;Xiaodong Lin;Xuemin Shen

    (2021)
    229 Citations
  • Attribute Based Encryption with Privacy Protection and Accountability for CloudIoT

    Jiguo Li;Yichen Zhang;Jianting Ning;Xinyi Huang

    (2020)
    217 Citations
  • Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data

    Hongwei Li;Yi Yang;Yuanshun Dai;Shui Yu

    (2020)
    204 Citations
  • Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing

    Keke Gai;Longfei Qiu;Hui Zhao;Meikang Qiu

    (2020)
    193 Citations
  • Stochastic Load Balancing for Virtual Resource Management in Datacenters

    Lei Yu;Liuhua Chen;Zhipeng Cai;Haiying Shen

    (2020)
    163 Citations
  • Blockchain-assisted Public-key Encryption with Keyword Search against Keyword Guessing Attacks for Cloud Storage

    Yuan Zhang;Chunxiang Xu;Jianbing Ni;Hongwei Li

    (2021)
    159 Citations
  • A Resource Usage Intensity Aware Load Balancing Method for Virtual Machine Migration in Cloud Datacenters

    Haiying Shen;Liuhua Chen

    (2020)
    141 Citations
  • Price-Based Resource Allocation for Edge Computing: A Market Equilibrium Approach

    Duong Tung Nguyen;Long Bao Le;Vijay Bhargava

    (2021)
    137 Citations

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