Harold Matthews

1.1k total citations
50 papers, 637 citations indexed

About

Harold Matthews is a scholar working on Orthodontics, Geometry and Topology and Genetics. According to data from OpenAlex, Harold Matthews has authored 50 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Orthodontics, 12 papers in Geometry and Topology and 12 papers in Genetics. Recurrent topics in Harold Matthews's work include Orthodontics and Dentofacial Orthopedics (17 papers), Morphological variations and asymmetry (12 papers) and Forensic Anthropology and Bioarchaeology Studies (11 papers). Harold Matthews is often cited by papers focused on Orthodontics and Dentofacial Orthopedics (17 papers), Morphological variations and asymmetry (12 papers) and Forensic Anthropology and Bioarchaeology Studies (11 papers). Harold Matthews collaborates with scholars based in Belgium, Australia and United States. Harold Matthews's co-authors include Peter Claes, Yi Fan, Anthony Penington, John G. Clement, Mark D. Shriver, Nicky Kilpatrick, Stefan Van Dongen, Arslan A. Zaidi, Jane Halliday and Julie D. White and has published in prestigious journals such as Nature Communications, Nature Genetics and Scientific Reports.

In The Last Decade

Harold Matthews

43 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harold Matthews Belgium 14 148 118 108 103 96 50 637
Tuomo Heikkinen Finland 14 143 1.0× 141 1.2× 247 2.3× 94 0.9× 44 0.5× 35 507
Sait Bilgiç Türkiye 14 165 1.1× 83 0.7× 116 1.1× 25 0.2× 157 1.6× 27 799
Daniel Govier United States 13 161 1.1× 213 1.8× 568 5.3× 43 0.4× 43 0.4× 19 842
John M. Starbuck United States 13 54 0.4× 97 0.8× 205 1.9× 72 0.7× 47 0.5× 22 419
Tomislav Lauc Croatia 15 134 0.9× 178 1.5× 116 1.1× 172 1.7× 215 2.2× 33 633
Senem Turan Özdemir Türkiye 9 79 0.5× 22 0.2× 37 0.3× 38 0.4× 25 0.3× 26 315
U‐Young Lee South Korea 16 31 0.2× 109 0.9× 159 1.5× 421 4.1× 140 1.5× 56 727
Ján Dupej Czechia 15 113 0.8× 112 0.9× 218 2.0× 320 3.1× 50 0.5× 47 557
Valentina Pucciarelli Italy 14 168 1.1× 37 0.3× 103 1.0× 72 0.7× 110 1.1× 38 557
Riccardo Rosati Italy 16 327 2.2× 59 0.5× 96 0.9× 46 0.4× 121 1.3× 36 853

Countries citing papers authored by Harold Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Harold Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harold Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Harold Matthews. A scholar is included among the top collaborators of Harold Matthews 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 Harold Matthews. Harold Matthews 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.
Verhelst, Pieter-Jan, Harold Matthews, Peter Claes, et al.. (2025). Analysis and prediction of condylar resorption following orthognathic surgery. Scientific Reports. 15(1). 664–664.
2.
Muggli, Evelyne, Harold Matthews, Michael Suttie, et al.. (2025). Low to Moderate Prenatal Alcohol Exposure and Facial Shape of Children at Age 6 to 8 Years. JAMA Pediatrics. 179(4). 438–438. 1 indexed citations
3.
Matthews, Harold, Hanne Hoskens, Karlijne Indencleef, et al.. (2024). Toward 3D facial analysis for recognizing Mendelian causes of autism spectrum disorder. Clinical Genetics. 106(5). 603–613.
4.
Matthews, Harold, Meng Yuan, Giorgos Bouritsas, et al.. (2024). A 3D Clinical Face Phenotype Space of Genetic Syndromes Using a Triplet-Based Singular Geometric Autoencoder. IEEE Access. 13. 7258–7272.
5.
Matthews, Harold, et al.. (2024). A novel approach to craniofacial analysis using automated 3D landmarking of the skull. Scientific Reports. 14(1). 2 indexed citations
6.
Hoskens, Hanne, Harold Matthews, J. David Aponte, et al.. (2024). Syndrome-informed phenotyping identifies a polygenic background for achondroplasia-like facial variation in the general population. Nature Communications. 15(1). 10458–10458. 2 indexed citations
7.
Matthews, Harold, Hanne Hoskens, Sylvia Singh, et al.. (2023). Exploring regional aspects of 3D facial variation within European individuals. Scientific Reports. 13(1). 3708–3708. 3 indexed citations
8.
9.
Matthews, Harold, Anthony Penington, Mary L. Marazita, et al.. (2023). Using data‐driven phenotyping to investigate the impact of sex on 3D human facial surface morphology. Journal of Anatomy. 243(2). 274–283. 4 indexed citations
10.
Matthews, Harold, Michael A. Patton, Peter Hammond, et al.. (2022). Refining nosology by modelling variation among facial phenotypes: the RASopathies. Journal of Medical Genetics. 60(3). 285–293. 2 indexed citations
11.
Fan, Yi, Wei He, Nan Zhang, et al.. (2022). Nasal characteristics in patients with asymmetric mandibular prognathism. American Journal of Orthodontics and Dentofacial Orthopedics. 162(5). 680–688. 1 indexed citations
12.
Matthews, Harold, Yi Fan, Hanne Hoskens, et al.. (2021). Automated landmarking for palatal shape analysis using geometric deep learning. Orthodontics and Craniofacial Research. 24(S2). 144–152. 6 indexed citations
13.
Matthews, Harold, Yi Fan, Hanne Hoskens, et al.. (2021). Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning. Orthodontics and Craniofacial Research. 24(S2). 134–143. 15 indexed citations
14.
Farnell, D. J. J., Stephen Richmond, Jennifer Galloway, et al.. (2021). An exploration of adolescent facial shape changes with age via multilevel partial least squares regression. Computer Methods and Programs in Biomedicine. 200. 105935–105935. 6 indexed citations
15.
Verhelst, Pieter-Jan, Harold Matthews, Fréderic Van der Cruyssen, et al.. (2021). Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible. Scientific Reports. 11(1). 8532–8532. 16 indexed citations
16.
Matthews, Harold, Saskia Hopman, Johannes H. M. Merks, et al.. (2021). 3D analysis of facial morphology in Dutch children with cancer. Computer Methods and Programs in Biomedicine. 205. 106093–106093. 1 indexed citations
17.
Matthews, Harold, et al.. (2020). Accurate reconstructions of pelvic defects and discontinuities using statistical shape models. Computer Methods in Biomechanics & Biomedical Engineering. 23(13). 1026–1033. 15 indexed citations
18.
Fan, Yi, Paul M. Schneider, Harold Matthews, et al.. (2020). 3D assessment of mandibular skeletal effects produced by the Herbst appliance. BMC Oral Health. 20(1). 117–117. 14 indexed citations
19.
Matthews, Harold, et al.. (2019). Quantification of age-related changes in midsagittal facial profile using Fourier analysis: A longitudinal study on Japanese adult males. Forensic Science International. 299. 239.e1–239.e9. 1 indexed citations
20.
Matthews, Harold, Peter J. Kelly, & Frank P. Deane. (2010). The dual diagnosis capability of residential addiction treatment centres: Priorities and confidence to improve capability following a review process. Drug and Alcohol Review. 30(2). 195–199. 10 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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