Matthew Thorpe

1.8k total citations · 1 hit paper
18 papers, 921 citations indexed

About

Matthew Thorpe is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Matthew Thorpe has authored 18 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Theory and Mathematics and 5 papers in Applied Mathematics. Recurrent topics in Matthew Thorpe's work include Statistical Methods and Inference (4 papers), Topological and Geometric Data Analysis (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). Matthew Thorpe is often cited by papers focused on Statistical Methods and Inference (4 papers), Topological and Geometric Data Analysis (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). Matthew Thorpe collaborates with scholars based in United Kingdom, United States and Netherlands. Matthew Thorpe's co-authors include Dejan Slepčev, Soheil Kolouri, Gustavo K. Rohde, Effrossyni Gkrania‐Klotsas, Carola‐Bibiane Schönlieb, Cathal McCague, James H.F. Rudd, Lucian Beer, Zhongzhao Teng and Derek Driggs and has published in prestigious journals such as Pattern Recognition, IEEE Signal Processing Magazine and Archive for Rational Mechanics and Analysis.

In The Last Decade

Matthew Thorpe

17 papers receiving 897 citations

Hit Papers

align trajectories

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.

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

2020 573 citations Michael Roberts, Derek Driggs et al. Research Explorer (The University of Manchester) profile →

Peers

Countries citing papers authored by Matthew Thorpe

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Thorpe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Thorpe

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Thorpe. A scholar is included among the top collaborators of Matthew Thorpe 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 Matthew Thorpe. Matthew Thorpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Manifold Learning in Wasserstein Space 2025 ·SIAM Journal on Mathematical Analysis ·(unknown), (unknown), Bernhard Schmitzer, Matthew Thorpe	0
2	Rates of convergence for Laplacian semi-supervised learning with low labeling rates 2023 ·Research in the Mathematical Sciences ·Jeff Calder, Dejan Slepčev, Matthew Thorpe	7
3	Rates of convergence for regression with the graph poly-Laplacian 2023 ·PubMed ·Nicolás García Trillos, (unknown), Matthew Thorpe	1
4	Sliced Optimal Partial Transport 2023 ·Warwick Research Archive Portal (University of Warwick) ·(unknown), Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri	2
5	A linear transportation Lp distance for pattern recognition 2023 ·Pattern Recognition ·Oliver M. Crook, Mihai Cucuringu, (unknown), Carola‐Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis	2
6	From Graph Cuts to Isoperimetric Inequalities: Convergence Rates of Cheeger Cuts on Data Clouds 2022 ·Archive for Rational Mechanics and Analysis ·Nicolás García Trillos, (unknown), Matthew Thorpe	5
7	Deep limits of residual neural networks 2022 ·Research in the Mathematical Sciences ·Matthew Thorpe, Yves van Gennip	16
8	The Linearized Hellinger--Kantorovich Distance 2022 ·SIAM Journal on Imaging Sciences ·(unknown), (unknown), Bernhard Schmitzer, Matthew Thorpe	10
9	Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans breakdown → 2020 ·Research Explorer (The University of Manchester) ·Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan Weir‐McCall, Zhongzhao Teng, Effrossyni Gkrania‐Klotsas, James H.F. Rudd, Evis Sala, Carola‐Bibiane Schönlieb	573
10	The Functional Impacts of the Covid-19 Pandemic: A Rapid Review 2020 ·Danielle Hitch, (unknown), (unknown), (unknown), (unknown), (unknown), Laura Browning, Matthew Thorpe	3
11	Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates 2020 ·Research Explorer (The University of Manchester) ·Jeff Calder, (unknown), Matthew Thorpe, Dejan Slepčev	15
12	2019 ·Warwick Research Archive Portal (University of Warwick) ·Florian Theil, Matthew Thorpe	9
13	Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint 2018 ·Research Explorer (The University of Manchester) ·(unknown), Matthew Thorpe	6
14	A Transportation $$L^p$$ Distance for Signal Analysis 2017 ·Journal of Mathematical Imaging and Vision ·Matthew Thorpe, (unknown), Soheil Kolouri, Gustavo K. Rohde, Dejan Slepčev	30
15	Optimal Mass Transport: Signal processing and machine-learning applications 2017 ·IEEE Signal Processing Magazine ·Soheil Kolouri, (unknown), Matthew Thorpe, Dejan Slepčev, Gustavo K. Rohde	227
16	Pointwise convergence in probability of general smoothing splines 2017 ·Annals of the Institute of Statistical Mathematics ·Matthew Thorpe, Adam M. Johansen	3
17	Convergence of the k-means minimization problem using Γ-convergence 2015 ·Warwick Research Archive Portal (University of Warwick) ·Matthew Thorpe, Florian Theil, Adam M. Johansen, (unknown)	8
18	Distinguishing between Humans and Robots on the Web 2011 ·(unknown), (unknown), Matthew Thorpe	4

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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