2021 Georisk最佳论文奖、最受引用论文奖和最佳EBM奖

IF 6.5 3区工程技术 Q1 ENGINEERING, GEOLOGICAL

Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards Pub Date : 2022-07-03 DOI:10.1080/17499518.2022.2123175

Limin Zhang

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引用次数: 0

摘要

编辑们很高兴向Michael P.Crisp、Mark B.Jaksa和Yien L.Kuo颁发2021年地质风险：工程系统和地质灾害风险评估和管理最佳论文奖，以表彰他们在《地质风险》2021年第15卷第3期第196–208页发表的题为“多层土壤和土壤透镜体中的现场调查性能表征”的论文。该奖项设立于2011年，每年根据其在《地质风险》杂志上发表的技术成就授予最佳论文的作者。该奖项的提名来自Georisk的编辑委员会成员、总编辑和咨询委员会成员。这个决定是由总编辑做出的。编辑们还很高兴向张文刚、吴崇志、李永勤、王林和苏梅颁发2021年地质风险最受引用论文奖，表彰他们在《地质风险》2021年第15卷第1期第27-40页发表的论文“使用随机森林回归和多元自适应回归样条评估桩的可钻性”。这篇论文在2018年至2022年发表在《地质风险》杂志上的论文中被引用最多，反映了读者对数据驱动方法的高度关注。发表在《地质风险》杂志上的论文对工程系统和地质灾害的风险评估和管理产生了深远影响。2017年，我们推出了“Georisk最受引用论文奖”，以表彰论文被高度引用的作者的贡献。该奖项每年颁发一次，根据5年的Scopus引文滚动评选，由总编辑评判。Georisk在2021年收到了近200份手稿。及时审查这些意见书的责任落在所有编辑和编辑委员会成员的肩上。为了表彰我们EBM的贡献，2021年推出了一个新奖项“Georisk最佳EBM奖”。编辑们很高兴向中央大学的贾云东教授颁发“2021年Georisk最佳EBM奖”，他在过去一年中处理了5份有决定权的手稿。我们要祝贺Georisk最佳论文奖、最受引用论文奖和最佳EBM奖的获得者。

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2021 Georisk best paper award, most cited paper award and best EBM award

The editors are pleased to present Best Paper Award 2021 for Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards to Michael P. Crisp, Mark B. Jaksa & Yien L. Kuo for their paper entitled “Characterising site investigation performance in multiple-layer soils and soil lenses” published in Georisk in 2021, Vol. 15, No. 3, pp. 196–208. This award was established in 2011 and is bestowed annually upon the author(s) of the best paper, on the basis of its technical merit, published in Georisk over the year. Nominations for this award are solicited from the editorial board members, the managing editors, and the advisory board members of Georisk. The decision is made by the managing editors. The editors are also pleased to present Georisk Most Cited Paper Award 2021 to Wengang Zhang, Chongzhi Wu, Yongqin Li, Lin Wang & P. Samui for their paper “Assessment of pile drivability using random forest regression and multivariate adaptive regression splines” published in Georisk in 2021, Vol. 15, No. 1, pp. 27–40. This paper is most cited among the papers published in Georisk during 2018–2022, reflecting the intense attention readers pay to data-driven methods. The papers published in Georisk have made a profound impact on the assessment and management of risks for engineered systems and geohazards. We launched “Georisk Most Cited Paper Award” in 2017 to recognise the contributions of the authors whose papers were highly cited. This award is given annually, selected based on rolling 5-year Scopus citations, with judgement from the managing editors. Georisk received nearly 200 manuscripts in 2021. The responsibility of timely reviewing these submissions falls on the shoulder of all the editors and editorial board members (EBMs). To recognise the contributions of our EBMs, a new award “Georisk Best EBM Award” was launched in 2021. The editors are pleased to present “Georisk Best EBM Award 2021” to Prof Jia-Jyun Dong of National Central University, who handled 5 manuscripts with decisions in the past year. We would like to congratulate the recipients of the Georisk Best Paper Award, Most Cited Paper Award, and Best EBM Award.

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来源期刊

Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards Multiple-

CiteScore

8.70

自引率

10.40%

发文量

期刊介绍： Georisk covers many diversified but interlinked areas of active research and practice, such as geohazards (earthquakes, landslides, avalanches, rockfalls, tsunamis, etc.), safety of engineered systems (dams, buildings, offshore structures, lifelines, etc.), environmental risk, seismic risk, reliability-based design and code calibration, geostatistics, decision analyses, structural reliability, maintenance and life cycle performance, risk and vulnerability, hazard mapping, loss assessment (economic, social, environmental, etc.), GIS databases, remote sensing, and many other related disciplines. The underlying theme is that uncertainties associated with geomaterials (soils, rocks), geologic processes, and possible subsequent treatments, are usually large and complex and these uncertainties play an indispensable role in the risk assessment and management of engineered and natural systems. Significant theoretical and practical challenges remain on quantifying these uncertainties and developing defensible risk management methodologies that are acceptable to decision makers and stakeholders. Many opportunities to leverage on the rapid advancement in Bayesian analysis, machine learning, artificial intelligence, and other data-driven methods also exist, which can greatly enhance our decision-making abilities. The basic goal of this international peer-reviewed journal is to provide a multi-disciplinary scientific forum for cross fertilization of ideas between interested parties working on various aspects of georisk to advance the state-of-the-art and the state-of-the-practice.