Liam Butler

2.2k total citations · 1 hit paper
58 papers, 1.7k citations indexed

About

Liam Butler is a scholar working on Civil and Structural Engineering, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Liam Butler has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 11 papers in Building and Construction and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Liam Butler's work include Structural Health Monitoring Techniques (15 papers), Advanced Fiber Optic Sensors (11 papers) and Recycled Aggregate Concrete Performance (9 papers). Liam Butler is often cited by papers focused on Structural Health Monitoring Techniques (15 papers), Advanced Fiber Optic Sensors (11 papers) and Recycled Aggregate Concrete Performance (9 papers). Liam Butler collaborates with scholars based in United Kingdom, Canada and United States. Liam Butler's co-authors include Susan Tighe, Jeffrey West, Campbell Middleton, Mohammed Elshafie, Mark Girolami, Stephen Keohane, Ruth Murphy, Jason Britton, Michael J. Cork and Mohammed Z. E. B. Elshafie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.

In The Last Decade

Liam Butler

55 papers receiving 1.6k citations

Hit Papers

The effect of recycled concrete aggregate properties on t... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The effect of recycled concrete aggregate properties on the bond strength between RCA concrete and steel reinforcement
    2011 342 citations Liam Butler et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liam Butler United Kingdom 18 987 793 175 142 96 58 1.7k
Biao Wei China 31 1.8k 1.8× 408 0.5× 19 0.1× 3 0.0× 97 1.0× 131 2.5k
Deng Chen China 13 242 0.2× 128 0.2× 7 0.0× 6 0.0× 101 1.1× 112 838
Jeongjun Park South Korea 13 394 0.4× 116 0.1× 3 0.0× 4 0.0× 15 0.2× 101 795
Laura Klein Germany 17 78 0.1× 379 0.5× 41 0.2× 154 1.6× 33 1.0k
Alessandro De Stefano Italy 24 1.1k 1.1× 41 0.1× 11 0.1× 2 0.0× 72 0.8× 115 1.7k
Miguel A. Gutiérrez Netherlands 20 236 0.2× 58 0.1× 22 0.1× 1 0.0× 34 0.4× 61 1.4k
Mujib Rahman United Kingdom 14 668 0.7× 58 0.1× 3 0.0× 5 0.0× 26 0.3× 37 859
Masoud Mohammadi Iran 16 597 0.6× 226 0.3× 2 0.0× 1 0.0× 55 0.6× 35 1.2k
Yinglei Li China 18 533 0.5× 435 0.5× 2 0.0× 3 0.0× 24 0.3× 76 1.2k

Countries citing papers authored by Liam Butler

Since Specialization
Citations

This map shows the geographic impact of Liam Butler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liam Butler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Butler more than expected).

Fields of papers citing papers by Liam Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam Butler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liam Butler. The network helps show where Liam Butler may publish in the future.

Co-authorship network of co-authors of Liam Butler

This figure shows the co-authorship network connecting the top 25 collaborators of Liam Butler. A scholar is included among the top collaborators of Liam Butler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liam Butler. Liam Butler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Butler, Liam, İbrahi̇m Karabayir, M. Samie Tootooni, et al.. (2024). AI-based preeclampsia detection and prediction with electrocardiogram data. Frontiers in Cardiovascular Medicine. 11. 1360238–1360238. 9 indexed citations
3.
Karabayir, İbrahi̇m, Gianna Wilkie, Turgay Celık, et al.. (2024). Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy. American Journal of Obstetrics & Gynecology MFM. 6(4). 101337–101337. 5 indexed citations
4.
Butler, Liam, Alexander Ivanov, Turgay Celık, et al.. (2024). Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs. PubMed. 5(3). 115–121. 3 indexed citations
5.
Butler, Liam, et al.. (2023). Data-informed statistical finite element analysis of rail buckling. Computers & Structures. 289. 107163–107163. 1 indexed citations
6.
7.
Butler, Liam, Turgay Celık, İbrahi̇m Karabayir, et al.. (2023). FEASIBILITY OF REMOTE MONITORING FOR FATAL CORONARY HEART DISEASE FROM SINGLE LEAD ECG. 4(5). S1–S1. 5 indexed citations
8.
Akbilgiç, Oğuz, İbrahi̇m Karabayir, Liam Butler, et al.. (2023). A REAL WORLD EVIDENCE FOR THE PERFORMANCE OF AN ECG-AI BASED HEART FAILURE RISK PREDICTOR. Journal of the American College of Cardiology. 81(8). 727–727. 1 indexed citations
9.
Butler, Liam, et al.. (2022). Digital twinning of self-sensing structures using the statistical finite element method. SHILAP Revista de lepidopterología. 3. 44 indexed citations
10.
Akbilgiç, Oğuz, Liam Butler, İbrahi̇m Karabayir, et al.. (2022). ECG-AI: AN EXTERNALLY VALIDATED DEEP LEARNING MODEL TO PREDICT HEART FAILURE RISK. Journal of the American College of Cardiology. 79(9). 328–328. 1 indexed citations
11.
Butler, Liam & Roy Sanderson. (2022). National‐scale predictions of plant assemblages via community distribution models: Leveraging published data to guide future surveys. Journal of Applied Ecology. 59(6). 1559–1571. 6 indexed citations
12.
Butler, Liam & Roy Sanderson. (2021). A rapid method for quantifying small‐scale vegetation patch structure to complement conventional quadrat surveys. Applied Vegetation Science. 24(3). 1 indexed citations
13.
Akbilgiç, Oğuz, Liam Butler, İbrahi̇m Karabayir, et al.. (2021). ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure. European Heart Journal - Digital Health. 2(4). 626–634. 58 indexed citations
14.
Akbilgiç, Oğuz, Liam Butler, İbrahi̇m Karabayir, et al.. (2021). ARTIFICIAL INTELLIGENCE APPLIED TO ECG IMPROVES HEART FAILURE PREDICTION ACCURACY. Journal of the American College of Cardiology. 77(18). 3045–3045. 10 indexed citations
15.
Girolami, Mark, et al.. (2019). The synthesis of data from instrumented structures and physics-based models via Gaussian processes. Journal of Computational Physics. 392. 248–265. 14 indexed citations
16.
Butler, Liam, et al.. (2019). Introducing Data-Centric Engineering to Instrumented Infrastructure. Qatar University QSpace (Qatar University). 343–349. 1 indexed citations
17.
Adams, Niall M., et al.. (2018). The role of statistics in data-centric engineering. Statistics & Probability Letters. 136. 58–62. 18 indexed citations
18.
Butler, Liam, et al.. (2018). Real-time statistical modelling of data generated from self-sensing bridges. Qatar University QSpace (Qatar University). 171(1). 3–13. 12 indexed citations
19.
He, Xiang, Liam Butler, X. Liu, & James O McNamara. (2006). The tyrosine receptor kinase B ligand, neurotrophin-4, is not required for either epileptogenesis or tyrosine receptor kinase B activation in the kindling model. Neuroscience. 141(1). 515–520. 9 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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