Cathal Hoare

1.1k total citations · 1 hit paper
29 papers, 779 citations indexed

About

Cathal Hoare is a scholar working on Building and Construction, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Cathal Hoare has authored 29 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Building and Construction, 8 papers in Environmental Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Cathal Hoare's work include Building Energy and Comfort Optimization (14 papers), Wind and Air Flow Studies (8 papers) and Energy Efficiency and Management (5 papers). Cathal Hoare is often cited by papers focused on Building Energy and Comfort Optimization (14 papers), Wind and Air Flow Studies (8 papers) and Energy Efficiency and Management (5 papers). Cathal Hoare collaborates with scholars based in Ireland, China and United Kingdom. Cathal Hoare's co-authors include James O’Donnell, Mohammad Haris Shamsi, Usman Ali, Eleni Mangina, Shushan Hu, Neil Hewitt, Wangda Zuo, Jiale Wang, Pieter Pauwels and Paul Raftery and has published in prestigious journals such as Applied Energy, Energy and Buildings and Automation in Construction.

In The Last Decade

Cathal Hoare

27 papers receiving 740 citations

Hit Papers

Review of urban building energy modeling (UBEM) approache... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cathal Hoare Ireland 11 613 305 198 121 78 29 779
Mohammad Haris Shamsi Ireland 12 652 1.1× 365 1.2× 260 1.3× 141 1.2× 42 0.5× 26 835
Usman Ali Ireland 13 638 1.0× 351 1.2× 353 1.8× 148 1.2× 49 0.6× 56 940
Xiaoyun Zhao Sweden 9 636 1.0× 303 1.0× 334 1.7× 151 1.2× 77 1.0× 25 929
Christian Anker Hviid Denmark 17 699 1.1× 386 1.3× 81 0.4× 67 0.6× 83 1.1× 55 872
U. Teoman Aksoy Türkiye 6 563 0.9× 320 1.0× 230 1.2× 115 1.0× 75 1.0× 9 790
Ivan Korolija United Kingdom 15 627 1.0× 343 1.1× 118 0.6× 141 1.2× 21 0.3× 66 798
Shanti Pless United States 15 861 1.4× 315 1.0× 296 1.5× 274 2.3× 42 0.5× 45 1.1k
Joseph Andrew Clarke United Kingdom 8 583 1.0× 294 1.0× 99 0.5× 121 1.0× 30 0.4× 25 766
Zhichao Tian China 15 708 1.2× 312 1.0× 93 0.5× 166 1.4× 32 0.4× 21 881
Yuan Jin China 13 513 0.8× 202 0.7× 231 1.2× 96 0.8× 30 0.4× 24 684

Countries citing papers authored by Cathal Hoare

Since Specialization
Citations

This map shows the geographic impact of Cathal Hoare'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 Cathal Hoare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathal Hoare more than expected).

Fields of papers citing papers by Cathal Hoare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathal Hoare. 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 Cathal Hoare. The network helps show where Cathal Hoare may publish in the future.

Co-authorship network of co-authors of Cathal Hoare

This figure shows the co-authorship network connecting the top 25 collaborators of Cathal Hoare. A scholar is included among the top collaborators of Cathal Hoare 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 Cathal Hoare. Cathal Hoare 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.
Hoare, Cathal, et al.. (2025). Knowledge graph for policy- and practice-aligned life cycle analysis and reporting. Automation in Construction. 176. 106282–106282. 2 indexed citations
2.
Dowling, Denis P., et al.. (2025). Analysis of unsupervised and semi-supervised machine learning techniques for print defect detection during laser powder bed fusion. The International Journal of Advanced Manufacturing Technology. 138(9-10). 4197–4212.
3.
Farghaly, Karim, et al.. (2024). Life cycle cost analysis at scale: a reference architecture-based approach. Built Environment Project and Asset Management. 14(5). 713–733. 3 indexed citations
4.
Ali, Usman, Mohammad Haris Shamsi, Cathal Hoare, et al.. (2024). Urban residential building stock synthetic datasets for building energy performance analysis. Data in Brief. 53. 110241–110241. 5 indexed citations
5.
Ali, Usman, et al.. (2023). Residential building energy performance prediction at an urban scale using ensemble machine learning algorithms. Computing in construction. 1 indexed citations
6.
Ali, Usman, Mohammad Haris Shamsi, Cathal Hoare, et al.. (2023). Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach. Energy and Buildings. 303. 113768–113768. 74 indexed citations
7.
Ali, Usman, et al.. (2023). Data-driven prediction of residential building energy performance at an urban scale through end-use demand segregation. Building Simulation Conference proceedings. 18. 1 indexed citations
8.
Hoare, Cathal, Reihaneh Aghamolaei, Muireann Á. Lynch, Ankita Gaur, & James O’Donnell. (2022). A linked data approach to multi-scale energy modelling. Advanced Engineering Informatics. 54. 101719–101719. 6 indexed citations
9.
Hu, Shushan, et al.. (2021). An information sharing strategy based on linked data for net zero energy buildings and clusters. Automation in Construction. 124. 103592–103592. 13 indexed citations
10.
Ali, Usman, et al.. (2021). GIS-based multi-scale residential building energy modeling using a data-driven approach. Building Simulation Conference proceedings. 1 indexed citations
11.
Ali, Usman, Mohammad Haris Shamsi, Cathal Hoare, Eleni Mangina, & James O’Donnell. (2021). Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. Energy and Buildings. 246. 111073–111073. 203 indexed citations breakdown →
12.
Ali, Usman, et al.. (2020). A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings. Applied Energy. 267. 114861–114861. 99 indexed citations
13.
Ali, Usman, et al.. (2020). Application Of Intelligent Algorithms For Residential Building Energy Performance Rating Prediction. Building Simulation Conference proceedings. 4 indexed citations
14.
Ali, Usman, et al.. (2020). A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making. Applied Energy. 279. 115834–115834. 122 indexed citations
15.
Hu, Shushan, Cathal Hoare, Paul Raftery, & James O’Donnell. (2019). Environmental and energy performance assessment of buildings using scenario modelling and fuzzy analytic network process. Applied Energy. 255. 113788–113788. 24 indexed citations
16.
Hoare, Cathal, et al.. (2019). A contextual ontology for distributed urban data management. Research Repository UCD (University College Dublin). 172(3). 96–105. 1 indexed citations
17.
Hoare, Cathal, et al.. (2018). Accurate classification of socially generated medical discourse. International Journal of Data Science and Analytics. 8(4). 353–365. 4 indexed citations
18.
Ali, Usman, Mohammad Haris Shamsi, Cathal Hoare, & James O’Donnell. (2018). GIS-Based Residential Building Energy Modeling at District Scale. Arrow@dit (Dublin Institute of Technology). 14 indexed citations
19.
Hu, Shushan, et al.. (2018). Building performance evaluation using OpenMath and Linked Data. Energy and Buildings. 174. 484–494. 21 indexed citations
20.
Maher, Bridget, et al.. (2013). Use of Mobile Applications for Hospital Discharge Letters. International Journal of Mobile and Blended Learning. 5(4). 19–42. 6 indexed citations

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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