Ranking & Metrics Journal Information Aims & Scope of the Journal
IEEE

IEEE Transactions on Vehicular Technology

Research
Impact Score* 3.8

OFFICIAL WEBSITE

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score*: 3.8
Impact Factor: 6.8
Citescore: 13.6
SCIMAGO SJR: 2.802
SCIMAGO H-index: 204
Research Ranking (Computer Science) 20
Research Ranking (Electronics and Electrical Engineering) 4
Research Ranking (Mechanical and Aerospace Engineering) 53
Research Ranking (Engineering and Technology) 86
Research Ranking (Mechanical and Aerospace Engineering) 58
Research Ranking (Electronics and Electrical Engineering) 4
Research Ranking (Engineering and Technology) 88
Research Ranking (Computer Science) 22
Number of Best scientists*: 27
Documents by best scientists*: 91

Journal Information

ISSN: 0018-9545
Publisher: IEEE
Periodicity: Monthly
Editors-in-Chief:
Journal & Submission Website: http://winet.ece.ufl.edu/tvt/

Overview

Top Research Topics at IEEE Transactions on Vehicular Technology?

The discussions in IEEE Transactions on Vehicular Technology mainly cover the fields of Electronic engineering, Computer network, Communication channel, Algorithm and Fading. It explores issues in Electronic engineering which can be linked to other research areas like Rayleigh fading, MIMO, Bit error rate, Interference (wave propagation) and Orthogonal frequency-division multiplexing. MIMO research featured in the journal incorporates concerns from various other topics such as Beamforming and Control theory.

The Computer network works featured in the journal incorporate elements from Wireless, Wireless network and Throughput. In it, Real-time computing and Distributed computing are investigated in conjunction with one another to address concerns in Wireless research. IEEE Transactions on Vehicular Technology addresses concerns in Communication channel which are intertwined with other disciplines, such as Transmitter, Relay, Transmission (telecommunications) and Telecommunications link.

While Telecommunications link is the key highlight in IEEE Transactions on Vehicular Technology, it also covered some subjects on Base station and Cellular network. The Algorithm works, particularly on Decoding methods are tackled in it. While Fading is the focus of the journal, it also provided insights into the studies of Signal-to-noise ratio, Multipath propagation, Phase-shift keying and Topology.

  • Electronic engineering (30.56%)
  • Computer network (23.48%)
  • Communication channel (19.68%)

What are the most cited papers published in the journal?

  • On the capacity of a cellular CDMA system (2949 citations)
  • Empirical formula for propagation loss in land mobile radio services (2272 citations)
  • A simple distributed autonomous power control algorithm and its convergence (1692 citations)

Research areas of the most cited articles at IEEE Transactions on Vehicular Technology:

The journal articles explore disciplines such as Electronic engineering, Computer network, Communication channel, Fading and Wireless. In addition to Electronic engineering research, the journal articles aim to explore topics under Rayleigh fading, Bit error rate, Transmitter, Algorithm and Antenna (radio). The journal publications explore issues in Computer network which can be linked to other research areas like Wireless ad hoc network, Vehicular ad hoc network, Distributed computing and Wireless network.

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

  • Computer network
  • Artificial intelligence
  • Operating system

The previous edition focused in particular on these issues:

The concepts of Computer network, Algorithm, Wireless, Communication channel and Electronic engineering are tackled in the journal. It explores topics in Computer network which can be helpful for research in disciplines like Relay, Transmission (telecommunications), Throughput and Vehicular ad hoc network. The work on Algorithm addressed in IEEE Transactions on Vehicular Technology expands to the thematically related Bit error rate.

IEEE Transactions on Vehicular Technology facilitates discussions on Wireless that incorporate concepts from other fields like Wireless sensor network, Real-time computing, Distributed computing and Base station. While work presented in the journal provided substantial information on Electronic engineering, it also covered topics in MIMO and Antenna (radio). Topics in MIMO were tackled in line with various other fields like Channel state information, Telecommunications link and Spectral efficiency.

The most cited articles from the last journal are:

  • Integrated Statistical Test of Signal Distributions and Access Point Contributions for Wi-Fi Indoor Localization (32 citations)
  • Early Collision Detection for Massive Random Access in Satellite-Based Internet of Things (23 citations)
  • Terahertz Multi-User Massive MIMO With Intelligent Reflecting Surface: Beam Training and Hybrid Beamforming (23 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.

Research.com

The top authors publishing in IEEE Transactions on Vehicular Technology (based on the number of publications) are:

  • Lajos Hanzo (264 papers) published 17 papers at the last edition, 16 less than at the previous edition,
  • Xuemin Shen (117 papers) published 6 papers at the last edition, 11 less than at the previous edition,
  • Victor C. M. Leung (93 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Zhu Han (91 papers) published 18 papers at the last edition, 1 more than at the previous edition,
  • Zhiguo Ding (84 papers) published 16 papers at the last edition, 2 more than 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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing in IEEE Transactions on Vehicular Technology (based on the number of publications) are:

  • University of Southampton (317 papers) published 19 papers at the last edition, 19 less than at the previous edition,
  • Xidian University (316 papers) published 38 papers at the last edition, 28 less than at the previous edition,
  • Tsinghua University (304 papers) published 23 papers at the last edition, 8 less than at the previous edition,
  • Beijing University of Posts and Telecommunications (296 papers) published 31 papers at the last edition, 37 less than at the previous edition,
  • Southeast University (262 papers) published 37 papers at the last edition, 24 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.

Research.com

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.

Research.com

During the most recent 2021 edition, 14.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.97% of all publications and 51.37% 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.

Research.com

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.

Research.com

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.

Best Scientists who published in this Journal

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 50

Xuemin Shen

Xuemin Shen

University of Waterloo

Publications: 44

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 32

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 32

Victor C. M. Leung

Victor C. M. Leung

Shenzhen University

Publications: 31

Zhu Han

Zhu Han

University of Houston

Publications: 30

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 28

Nan Zhao

Nan Zhao

Dalian University of Technology

Publications: 24

Ning Zhang

Ning Zhang

University of Windsor

Publications: 19

Bo Ai

Bo Ai

Beijing Jiaotong University

Publications: 19

Zhangdui Zhong

Zhangdui Zhong

Beijing Jiaotong University

Publications: 18

Nan Cheng

Nan Cheng

Xidian University

Publications: 18

Abbas Jamalipour

Abbas Jamalipour

University of Sydney

Publications: 16

Neeraj Kumar

Neeraj Kumar

Thapar University

Publications: 16

Xianbin Wang

Xianbin Wang

University of Western Ontario

Publications: 16

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 15

*The metrics for this journal are compiled based on the data for scientists listed under Electronics and Electrical Engineering