World's Best Scientists 2026 revealed!
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
H-index 19

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Published by: American Society of Civil Engineers (ASCE)

https://ascelibrary.org/journal/ajrua6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 415 47 118 19

Additional Metrics

Number of Best Scientists*: 77
Documents by Best Scientists*: 148
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 33
SCIMAGO SJR: 0.683
Impact Factor: 2.7

Overview

Top Research Topics at ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering?

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering aims to foster the development of research in Reliability (statistics), Reliability engineering, Structural engineering, Probabilistic logic and Risk analysis (engineering). The work on Reliability (statistics) addressed in the journal expands to the thematically related Monte Carlo method. The Structural engineering study tackling the subject of Bridge (interpersonal) is the focus of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

The research on Risk analysis (engineering) discussed in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering draws on the closely related field of Resilience (network).

  • Reliability (statistics) (19.47%)
  • Reliability engineering (12.89%)
  • Structural engineering (12.63%)

What are the most cited papers published in the journal?

  • Rare Event Estimation Using Polynomial-Chaos Kriging (97 citations)
  • Practical Resilience Metrics for Planning, Design, and Decision Making (64 citations)
  • Polynomial chaos expansion models for the monitoring of structures under operational variability (49 citations)

Research areas of the most cited articles at ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:

The most cited articles primarily tackle Mathematical optimization, Probabilistic logic, Environmental resource management, Risk analysis (engineering) and Flood myth. The works on Mathematical optimization tackled in the journal articles bring together disciplines like Uncertainty quantification, Algorithm and Monte Carlo method, Polynomial chaos. The study of Environmental resource management in the published papers encompasses disciplines such as Resilience (network), as well as fields such as Risk management, all of which overlap with one another.

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

  • Statistics
  • Structural engineering
  • Artificial intelligence

The previous edition focused in particular on these issues:

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering mostly deals with topics like Geotechnical engineering, Surface roughness, Task (project management), Risk assessment and Data mining. Specifically, studies on Seepage flow are prevalent in the Geotechnical engineering works discussed. The journal links adjacent topics like Task (project management) with Construction engineering.

While it focused on Data mining, it was also able to explore topics like Data-driven and Estimation.

The most cited articles from the last journal are:

  • Real-Time Risk Assessment of Tunneling-Induced Building Damage Considering Polymorphic Uncertainty (0 citations)
  • A Practical Bayesian Framework for Structural Model Updating and Prediction (0 citations)
  • Influence of Surface Roughness Uncertainties on Design of Structures with Open and Suburban Exposures (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 ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (based on the number of publications) are:

  • Bilal M. Ayyub (23 papers) absent at the last edition,
  • Michael Beer (11 papers) absent at the last edition,
  • Kok-Kwang Phoon (10 papers) absent at the last edition,
  • James H. Lambert (8 papers) absent at the last edition,
  • Yue Li (7 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 ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (based on the number of publications) are:

  • University of Maryland, College Park (23 papers) absent at the last edition,
  • Tongji University (14 papers) absent at the last edition,
  • University of Delaware (11 papers) absent at the last edition,
  • National University of Singapore (10 papers) absent at the last edition,
  • University of Virginia (9 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, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 33.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 33.33% 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

  • Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values

    Brigid Cami;Sina Javankhoshdel;Kok-Kwang Phoon;Jianye Ching

    (2020)
    183 Citations
  • Structural System Reliability: Overview of Theories and Applications to Optimization

    Junho Song;Won-Hee Kang;Young-Joo Lee;Junho Chun

    (2021)
    43 Citations
  • Resilience-Based Design of Infrastructure: Review of Models, Methodologies, and Computational Tools

    Mahdi Shadabfar;Mojtaba Mahsuli;Yi Zhang;Yadong Xue

    (2022)
    41 Citations
  • Decentralized Decision Making for the Restoration of Interdependent Networks

    Hesam Talebiyan;Leonardo Duenas-Osorio

    (2020)
    39 Citations
  • Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration

    Chao Dang;Pengfei Wei;Jingwen Song;Michael Beer

    (2021)
    38 Citations
  • Probabilistic Flood Loss Assessment at the Community Scale: Case Study of 2016 Flooding in Lumberton, North Carolina

    Omar M. Nofal;John W. van de Lindt

    (2020)
    35 Citations
  • Optimization of Site-Exploration Programs for Slope-Reliability Assessment

    Shui-Hua Jiang;Iason Papaioannou;Daniel Straub

    (2020)
    34 Citations
  • Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions

    Bruno Pedrosa;José A. F. O. Correia;Carlos A. S. Rebelo;Milan Veljkovic

    (2020)
    33 Citations
  • Time-Dependent Fragility Functions for Circular Tunnels in Soft Soils

    (2022)
    32 Citations
  • Measuring Similarity between Site-Specific Data and Records from Other Sites

    Jianye Ching;Kok-Kwang Phoon

    (2020)
    31 Citations

Related Online Degrees & Career Pathways

For students interested in Engineering and Technology, exploring related fields such as project management and architecture can open diverse career pathways. A project management degree worth it is often debated, but it’s clear that professionals equipped with these skills are in high demand across industries. This degree complements technical expertise by enhancing leadership and organizational abilities.

Architecture is another dynamic field that blends creativity with technology. Identifying the best online architecture degree programs can help students find flexible learning options that fit their schedules. These programs often include advanced software training crucial for modern architectural design.

For those eager to advance quickly, some of the architecture degree online options allow completion in under two years, making it ideal for accelerating career entry. Similarly, if speed is a priority, exploring the fastest online project management degree programs can significantly reduce time-to-degree while maintaining quality education.

Choosing the right online degree can provide flexibility and targeted skills, positioning graduates for success in various technology-driven roles. Combining technical knowledge with management or design skills diversifies career opportunities in today's competitive job market.

Best Scientists Contributing to This Journal