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Tunnelling and Underground Space Technology
H-index 62

Tunnelling and Underground Space Technology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 30 89 284 43
Engineering and Technology 52 188 535 58

Additional Metrics

Number of Best Scientists*: 369
Documents by Best Scientists*: 803
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 155
SCIMAGO SJR: 2.269
Impact Factor: 7.4

Overview

Top Research Topics at Tunnelling and Underground Space Technology?

The discussions in Tunnelling and Underground Space Technology mainly cover the fields of Geotechnical engineering, Structural engineering, Excavation, Mechanical engineering and Rock mass classification. While Geotechnical engineering is the focus of Tunnelling and Underground Space Technology, it also provided insights into the studies of Stress (mechanics), Finite element method, Shield and Quantum tunnelling. Tunnelling and Underground Space Technology addresses concerns in Structural engineering which are intertwined with other disciplines, such as Numerical analysis and Computer simulation.

It investigates Excavation research which frequently intersects with Civil engineering. While it primarily focused on Civil engineering, it also opened dialogues on the discipline of Underground space.

  • Geotechnical engineering (28.31%)
  • Structural engineering (16.56%)
  • Excavation (11.77%)

What are the most cited papers published in the journal?

  • SEISMIC DESIGN AND ANALYSIS OF UNDERGROUND STRUCTURES (657 citations)
  • APPLICATION OF THE CONVERGENCE-CONFINEMENT METHOD OF TUNNEL DESIGN TO ROCK MASSES THAT SATISFY THE HOEK-BROWN FAILURE CRITERION (344 citations)
  • Long-term settlement behaviour of metro tunnels in the soft deposits of Shanghai (324 citations)

Research areas of the most cited articles at Tunnelling and Underground Space Technology:

The most cited articles are organized to address concerns in the fields of Geotechnical engineering, Structural engineering, Rock mass classification, Excavation and Computer simulation. The works on Geotechnical engineering tackled in the journal publications bring together disciplines like Stress (mechanics), Shield and Quantum tunnelling. The journal articles address concerns in Structural engineering which are intertwined with other disciplines, such as Numerical analysis and Displacement (vector).

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

  • World War II
  • Composite material
  • Mechanical engineering

The previous edition focused in particular on these issues:

The aim of the journal is to expand the discussion of research in Geotechnical engineering, Shield, Stability (probability), Computer simulation and Excavation. The presented research on Geotechnical engineering deals specifically with Stress (mechanics) but it also addresses topics in Quantum tunnelling. The overlapping concepts between Stratum and Loess, Biot number, Groundwater, Settlement (structural) and Overall pressure ratio are the key highlights of Shield study.

The journal focuses on Stability (probability) but the discussions also offer insight into other areas such as Seepage flow, Measure (mathematics), Shield tunneling, Catastrophic failure and MATLAB. Issues in Computer simulation were discussed, taking into consideration concepts from other disciplines like Conical surface, Dilation (morphology), Instability and Limit (mathematics). It tackles studies in Civil engineering and the interrelated subject of Natural (archaeology), General knowledge and Interaction problem to gain insights into Excavation.

The most cited articles from the last journal are:

  • Influence of non-associated flow rule on passive face instability for shallow shield tunnels (1 citations)
  • Use of optical fibers to investigate the performance of pressure pipe liners spanning across a ring fracture (0 citations)
  • Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties (0 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 Tunnelling and Underground Space Technology (based on the number of publications) are:

  • Jian Zhao (49 papers) absent at the last edition,
  • Shucai Li (35 papers) absent at the last edition,
  • Hehua Zhu (32 papers) absent at the last edition,
  • Wan Ki Chow (29 papers) absent at the last edition,
  • Yong Yuan (26 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 Tunnelling and Underground Space Technology (based on the number of publications) are:

  • Tongji University (223 papers) published 1 paper at the last edition, 37 less than at the previous edition,
  • Central South University (134 papers) absent at the last edition,
  • Southwest Jiaotong University (123 papers) published 2 papers at the last edition, 29 less than at the previous edition,
  • China University of Mining and Technology (111 papers) absent at the last edition,
  • Chinese Academy of Sciences (97 papers) absent at the last 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 2022 edition, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 46.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.08% of all publications and 23.08% 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

  • BIM, machine learning and computer vision techniques in underground construction: current status and future perspectives

    M.Q. Huang;J. Ninić;Q.B. Zhang

    (2021)
    328 Citations
  • Seismic behaviour of tunnels: From experiments to analysis

    Grigorios Tsinidis;Filomena de Silva;Ioannis Anastasopoulos;Emilio Bilotta

    (2020)
    283 Citations
  • Rock fracturing observation based on microseismic monitoring and borehole imaging: In situ investigation in a large underground cavern under high geostress

    Unknown

    (2022)
    212 Citations
  • Effect of particle shape on the progressive failure of shield tunnel face in granular soils by coupled FDM-DEM method

    Zhen Yu Yin;Pei Wang;Fengshou Zhang

    (2020)
    209 Citations
  • Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction:A comparative study

    Pin Zhang;Huai Na Wu;Ren Peng Chen;Tommy H.T. Chan

    (2020)
    205 Citations
  • Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data

    Quansheng Liu;Xinyu Wang;Xing Huang;Xin Yin

    (2020)
    202 Citations
  • The development and application of a novel multi-radial-vortex-based ventilation system for dust removal in a fully mechanized tunnelling face

    Yun Hua;Wen Nie;Qiang Liu;Huitian Peng

    (2020)
    130 Citations

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