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Transportation Research Record: Journal of the Transportation Research Board
H-index 30

Transportation Research Record: Journal of the Transportation Research Board

0361-1981

Published by: SAGE

https://journals.sagepub.com/home/trr

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 236 199 693 28
Business and Management 576 9 10 4

Additional Metrics

Number of Best Scientists*: 366
Documents by Best Scientists*: 866
Top 100 Ranked Scientists*: 3
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: 1.8

Overview

Top Research Topics at Transportation Research Record?

Transportation Research Record covers a variety of subjects, including Transport engineering, Geotechnical engineering, Structural engineering, Simulation and Operations research. Topics in Transport engineering explored in Transportation Research Record were investigated in conjunction with research in Truck and Data collection. It dives deep in exploring the relationship between the study of Geotechnical engineering and Asphalt.

Topics in Asphalt were tackled in line with various other fields like Aggregate (composite) and Forensic engineering. Transportation Research Record focuses on Structural engineering research which is adjacent to topics in Cracking. The journal connects the study in Simulation with the closely related area of Traffic flow.

The Public transport research dealing mostly with Transit (satellite) is the focus of the journal.

  • Transport engineering (32.16%)
  • Geotechnical engineering (11.61%)
  • Structural engineering (11.14%)

What are the most cited papers published in the journal?

  • MODELING THE CHOICE OF RESIDENTIAL LOCATION (2259 citations)
  • Travel and the built environment: a synthesis (1228 citations)
  • Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (714 citations)

Research areas of the most cited articles at Transportation Research Record:

The journal articles investigate areas of study like Transport engineering, Simulation, Traffic flow, Operations research and Asphalt. Transport engineering research in the journal publications connects with the study of Data collection. The works on Asphalt tackled in the journal articles bring together disciplines like Geotechnical engineering, Structural engineering, Aggregate (composite) and Forensic engineering.

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

  • World War II
  • Law
  • Composite material

The previous edition focused in particular on these issues:

The journal primarily tackles Transport engineering, Asphalt, Public transport, Automotive engineering and Real-time computing. Asphalt research discussed in Transportation Research Record aim to provide more information in the subject of Composite material.

The most cited articles from the last journal are:

  • Safety Performance Assessment of Connected Vehicles in Mitigating the Risk of Secondary Crashes: A Driving Simulator Study: (5 citations)
  • COVID-19 Impact on Transport: A Paper from the Railways’ Systems Research Perspective (5 citations)
  • Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas: (5 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 Transportation Research Record (based on the number of publications) are:

  • Hani S. Mahmassani (196 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Serge P. Hoogendoorn (119 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Nagui M. Rouphail (118 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Darcy M. Bullock (118 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Imad L. Al-Qadi (110 papers) published 5 papers at the last edition, 3 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Transportation Research Record (based on the number of publications) are:

  • Texas A&M Transportation Institute (589 papers) published 22 papers at the last edition, 1 more than at the previous edition,
  • University of Texas at Austin (526 papers) published 11 papers at the last edition, 2 less than at the previous edition,
  • University of California, Berkeley (449 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • University of Illinois at Urbana–Champaign (420 papers) published 18 papers at the last edition, 7 more than at the previous edition,
  • Delft University of Technology (396 papers) published 13 papers at the last edition, 2 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, 13.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.60% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.25% of all publications and 48.64% 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

  • Evaluation of Glass Powder-Based Geopolymer Stabilized Road Bases Containing Recycled Waste Glass Aggregate:

    Rui Xiao;Pawel Polaczyk;Miaomiao Zhang;Xi Jiang

    (2020)
    150 Citations
  • CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins

    (2022)
    136 Citations
  • Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning:

    Vishal Mahajan;Christos Katrakazas;Constantinos Antoniou

    (2020)
    79 Citations
  • Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control:

    Iman Mahdinia;Ramin Arvin;Asad J. Khattak;Amir Ghiasi

    (2020)
    73 Citations
  • Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel

    (2020)
    71 Citations
  • Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact:

    Ruimin Ke;Wan Li;Zhiyong Cui;Yinhai Wang

    (2020)
    70 Citations
  • Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas:

    Yantao Huang;Kara M. Kockelman;Venu Garikapati;Lei Zhu

    (2021)
    63 Citations
  • Prediction of Pedestrian Crossing Intentions at Intersections Based on Long Short-Term Memory Recurrent Neural Network:

    Shile Zhang;Mohamed Abdel-Aty;Jinghui Yuan;Pei Li

    (2020)
    58 Citations
  • Dynamic Origin–Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter:

    Xi Xiong;Kaan Ozbay;Li Jin;Chen Feng

    (2020)
    44 Citations
  • Investigating Market Potentials and Operational Scenarios of Virtual Coupling Railway Signaling

    Joelle Aoun;Egidio Quaglietta;Rob M. P. Goverde

    (2020)
    42 Citations

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Best Scientists Contributing to This Journal