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Journal of Intelligent Transportation Systems
H-index 20

Journal of Intelligent Transportation Systems

1547-2450

Published by: Taylor & Francis

https://www.tandfonline.com/toc/gits20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 450 38 65 18
Computer Science 579 25 26 10

Additional Metrics

Number of Best Scientists*: 73
Documents by Best Scientists*: 96
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 64
SCIMAGO SJR: 1.065
Impact Factor: 2.8

Overview

Top Research Topics at Journal of Intelligent Transportation Systems?

Journal of Intelligent Transportation Systems aims to foster the development of research in Transport engineering, Intelligent transportation system, Simulation, Real-time computing and Operations research. Discussions in it are anchored in the subject of Transport engineering and the similar topic of Information system. Some problems in Intelligent transportation system that were presented in it overlapped with concepts under Control engineering, Risk analysis (engineering), Traffic simulation and Artificial intelligence.

Studies on Simulation discussed in the journal link to the field of Traffic flow. In it, Detector, Data collection, Global Positioning System and Floating car data are investigated in conjunction with one another to address concerns in Real-time computing research. The journal focuses on Travel time as well as the interrelated topic of Estimation.

  • Transport engineering (25.64%)
  • Intelligent transportation system (25.36%)
  • Simulation (16.91%)

What are the most cited papers published in the journal?

  • Last Mile Distribution in Humanitarian Relief (373 citations)
  • Policy and society related implications of automated driving: A review of literature and directions for future research (337 citations)
  • Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (235 citations)

Research areas of the most cited articles at Journal of Intelligent Transportation Systems:

The most cited papers are organized to reinforce research efforts on Intelligent transportation system, Simulation, Transport engineering, Real-time computing and Traffic flow. While work presented in the journal publications provide substantial information on Intelligent transportation system, it also covers topics in Traffic simulation, Control (management), Embedded system, Mathematical optimization and Traffic generation model. While Transport engineering is the key highlight in the published articles, thet also covered some subjects on Information system and Real-time data.

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

  • Artificial intelligence
  • Statistics
  • Computer network

The previous edition focused in particular on these issues:

The journal focuses largely on the fields of Real-time computing, Transport engineering, Artificial intelligence, Traffic flow and Control (management). Topics in Real-time computing explored in it were investigated in conjunction with research in Radar, Signal, Model predictive control and Floating car data. While Signal is the focus of Journal of Intelligent Transportation Systems, it also provided insights into the studies of Reliability (statistics) and Intelligent transportation system.

Journal of Intelligent Transportation Systems focused on Transport engineering research but expanded to cover Data-driven. The study on Traffic flow presented in Journal of Intelligent Transportation Systems intersects with subjects under the field of Automotive engineering. Most of the Control (management) studies addressed also intersect with Control theory.

The most cited articles from the last journal are:

  • Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections (15 citations)
  • Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory (10 citations)
  • Bus rescheduling in rolling horizons for regularity-based services (10 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 Intelligent Transportation Systems (based on the number of publications) are:

  • Bin Ran (14 papers) published 2 papers at the last edition,
  • Asad J. Khattak (14 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Hesham A. Rakha (10 papers) published 1 paper at the last edition,
  • Yinhai Wang (10 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Baher Abdulhai (9 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 Intelligent Transportation Systems (based on the number of publications) are:

  • University of California, Berkeley (23 papers) absent at the last edition,
  • University of Wisconsin-Madison (20 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Virginia Tech (19 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Central Florida (18 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Tongji University (18 papers) published 5 papers at the last edition the same number as 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, 7.79% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.13% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.54% of all publications and 45.07% 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

  • Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections

    Ramin Arvin;Asad J. Khattak;Mohsen Kamrani;Jackeline Rio-Torres

    (2021)
    105 Citations
  • Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Ming Xu;Jianping Wu;Ling Huang;Rui Zhou

    (2020)
    61 Citations
  • Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control

    Hao Liu;Steven E. Shladover;Xiao-Yun Lu;Xingan (David) Kan

    (2021)
    56 Citations
  • Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory

    Jinjun Tang;Xinshao Zhang;Weiqi Yin;Yajie Zou

    (2021)
    55 Citations
  • Combined connected vehicles and variable speed limit strategies to reduce rear-end crash risk under fog conditions

    Yina Wu;Mohamed A. Abdel-Aty;Ling Wang;Sharikur Rahman

    (2020)
    54 Citations
  • Multi-step-ahead traffic speed forecasting using multi-output gradient boosting regression tree

    Xingbin Zhan;Shuaichao Zhang;Wai Yuen Szeto;Xiqun Michael Chen

    (2020)
    51 Citations
  • Road surface friction prediction using long short-term memory neural network based on historical data

    Ziyuan Pu;Chenglong Liu;Xianming Shi;Zhiyong Cui

    (2020)
    42 Citations
  • Clustering Driver Behavior Using Dynamic Time Warping and Hidden Markov Model

    Ying Yao;Xiaohua Zhao;Yiping Wu;Yunlong Zhang

    (2021)
    39 Citations
  • Network and station-level bike-sharing system prediction: a San Francisco bay area case study

    Huthaifa I. Ashqar;Mohammed Elhenawy;Hesham Rakha;Mohammed Hamad Almannaa

    (2021)
    34 Citations

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Best Scientists Contributing to This Journal