World's Best Scientists 2026 revealed!
Transportation Geotechnics
H-index 41

Transportation Geotechnics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 113 64 158 26
Engineering and Technology 138 129 318 38

Additional Metrics

Number of Best Scientists*: 215
Documents by Best Scientists*: 406
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 59
SCIMAGO SJR: 1.535
Impact Factor: 5.5

Overview

Top Research Topics at Transportation geotechnics?

The scientific interests tackled in the journal are Geotechnical engineering, Structural engineering, Subgrade, Track (rail transport) and Composite material. While work presented in Transportation geotechnics provided substantial information on Geotechnical engineering, it also covered topics in Soil water and Stiffness. It facilitates discussions on Structural engineering that incorporate concepts from other fields like Vibration, Granular material and Deformation (meteorology).

Subgrade research presented in the journal encompasses a variety of subjects, including Modulus and Soil stabilization. Transportation geotechnics focuses on Track (rail transport) as well as the interrelated topic of Slab. Composite material studies presented in Transportation geotechnics focus on topics such as Compressive strength, Stress (mechanics) and Cement.

The studies in Compressive strength featured incorporate elements of Portland cement, Fly ash and Lime. Compaction research is concerned with California bearing ratio in particular. Most of the Water content studies addressed also intersect with Moisture.

  • Geotechnical engineering (53.17%)
  • Structural engineering (19.47%)
  • Subgrade (19.32%)

What are the most cited papers published in the journal?

  • Stabilization of clayey soil using ultrafine palm oil fuel ash (POFA) and cement (84 citations)
  • Evaluation of asphalt mixtures incorporating electric arc furnace steel slag and copper mine tailings for road construction (77 citations)
  • Soil and clay stabilization with calcium- and non-calcium-based additives: A state-of-the-art review of challenges, approaches and techniques (77 citations)

Research areas of the most cited articles at Transportation geotechnics:

The most cited articles are mainly concerned with subjects like Geotechnical engineering, Structural engineering, Track (rail transport), Subgrade and Compaction. The studies on Geotechnical engineering discussed at the journal papers can also contribute to research in the domains of Soil stabilization and Cement. While Subgrade is the focus of the journal articles, it also provides insights into the studies of Infiltrometer, Overburden pressure and Deformation (engineering).

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

  • Composite material
  • Structural engineering
  • Geotechnical engineering

The previous edition focused in particular on these issues:

The foci of Transportation geotechnics are Geotechnical engineering, Subgrade, Structural engineering, Composite material and Track (rail transport). Transportation geotechnics explores topics in Geotechnical engineering which can be helpful for research in disciplines like Soil water and Finite element method. Subgrade research presented in the journal encompasses a variety of subjects, including Durability, Deformation (engineering), Expansive clay, Modulus and Stiffness.

The studies tackled, which mainly focus on Structural engineering, apply to Vibration as well. Presentations on Composite material include those discussing Cement, Compressive strength, Ultimate tensile strength, Stress (mechanics) and Porosity. The work on Track (rail transport) tackled in it brings together disciplines like Slab and Deformation (meteorology).

The most cited articles from the last journal are:

  • An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures (22 citations)
  • Application of recycled tire polymer fibers and glass fibers for clay reinforcement (10 citations)
  • A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling (9 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 geotechnics (based on the number of publications) are:

  • Buddhima Indraratna (24 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • Erol Tutumluer (16 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Arul Arulrajah (15 papers) published 10 papers at the last edition, 6 more than at the previous edition,
  • Suksun Horpibulsuk (13 papers) published 8 papers at the last edition, 4 more than at the previous edition,
  • Cholachat Rujikiatkamjorn (10 papers) published 3 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.

Only papers with recognized affiliations are considered

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

  • University of Wollongong (21 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Swinburne University of Technology (19 papers) published 11 papers at the last edition, 6 more than at the previous edition,
  • Tongji University (19 papers) published 14 papers at the last edition, 12 more than at the previous edition,
  • Zhejiang University (18 papers) published 9 papers at the last edition, 5 more than at the previous edition,
  • University of Illinois at Urbana–Champaign (17 papers) published 2 papers at the last edition, 1 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, 2.01% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.95% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.98% of all publications and 46.72% 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

  • Review on biopolymer-based soil treatment (BPST) technology in geotechnical engineering practices

    Ilhan Chang;Minhyeong Lee;An Thi Phuong Tran;Sojeong Lee

    (2020)
    357 Citations
  • Introducing stacking machine learning approaches for the prediction of rock deformation

    Unknown

    (2022)
    193 Citations
  • Strength and Durability Assessment of Expansive Soil Stabilized with Recycled Ash and Natural Fibers

    Nitin Tiwari;Neelima Satyam;Anand J. Puppala

    (2021)
    137 Citations
  • Calibration for discrete element modelling of railway ballast: A review

    Yunlong Guo;Chunfa Zhao;Valeri Markine;Guoqing Jing

    (2020)
    122 Citations
  • A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

    Binh Thai Pham;Manh Duc Nguyen;Trung Nguyen-Thoi;Lanh Si Ho

    (2021)
    107 Citations
  • Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula

    (2020)
    105 Citations
  • Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM

    Unknown

    (2022)
    99 Citations
  • Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

    Panagiotis G. Asteris;Anna Mamou;Mohsen Hajihassani;Mahdi Hasanipanah

    (2021)
    98 Citations
  • Numerical study on stability of lignosulphonate-based stabilized surficial layer of unsaturated expansive soil slope considering hydro-mechanical effect

    (2022)
    92 Citations
  • Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study

    (2021)
    91 Citations

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