Matthew Reed

1.3k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Matthew Reed is a scholar working on Applied Mathematics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Matthew Reed has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Applied Mathematics, 3 papers in Geometry and Topology and 2 papers in Artificial Intelligence. Recurrent topics in Matthew Reed's work include Point processes and geometric inequalities (4 papers), Morphological variations and asymmetry (3 papers) and Geochemistry and Geologic Mapping (2 papers). Matthew Reed is often cited by papers focused on Point processes and geometric inequalities (4 papers), Morphological variations and asymmetry (3 papers) and Geochemistry and Geologic Mapping (2 papers). Matthew Reed collaborates with scholars based in United Kingdom, Netherlands and China. Matthew Reed's co-authors include C. V. Howard, Neil Roberts, Chris Shelton, Cornelis Otto, Aart A. van Apeldoorn, Johan Hazekamp, George McKerr, G. R. Wasson, Darragh G. McArt and Emma Shanks and has published in prestigious journals such as Journal of Microscopy, Mutagenesis and Image Analysis & Stereology.

In The Last Decade

Matthew Reed

9 papers receiving 1.1k 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.

Unbiased Stereology: Three-Dimensional Measurement in Microscopy

1998 1.0k citations C. V. Howard, Matthew Reed Medical Entomology and Zoology profile →

Peers

Matthew Reed

MB

CMN

AM

CN

PHYSI

Konrad Sandau Germany

Bünyamin Şahin Türkiye

Kiên Kiêu France

T.M. Mayhew United Kingdom

Antônio Augusto Coppi Maciel Ribeiro Brazil

Jiřı́ Janáček Czechia

Peter O. Gerrits Netherlands

Arne Möller Denmark

Lucie Kubínová Czechia

Peter V. Bagger Denmark

Konrad Sandau Germany

Matthew Reed

220 ×1.1

MB

139 ×0.8

CMN

123 ×0.8

AM

87 ×0.7

CN

85 ×0.8

PHYSI

Citations per year, relative to Matthew Reed Matthew Reed (= 1×) peers Konrad Sandau

Countries citing papers authored by Matthew Reed

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Reed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Reed

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Li, Lingyun, Matthew Reed, & Alexander Soshnikov. (2020). Central Limit Theorem for Linear Eigenvalue Statistics for Submatrices of Wigner Random Matrices. Frontiers in Applied Mathematics and Statistics. 6. 1 indexed citations

2.

Hazekamp, Johan, Matthew Reed, C. V. Howard, Aart A. van Apeldoorn, & Cornelis Otto. (2011). The feasibility of Cryo In-SEM Raman microspectroscopy. Journal of Microscopy. 244(2). 122–128. 13 indexed citations

3.

Reed, Matthew, et al.. (2011). THE SAMPLING ERROR OF ROTATOR ESTIMATES OF EYE VOLUME. Image Analysis & Stereology. 22(1). 57–57.

4.

McArt, Darragh G., et al.. (2009). Systematic random sampling of the comet assay. Mutagenesis. 24(4). 373–378. 10 indexed citations

5.

Reed, Matthew, et al.. (2009). One‐Stop Stereology: the estimation of 3D parameters using Isotropic Rulers. Journal of Microscopy. 239(1). 54–65. 39 indexed citations

6.

Reed, Matthew, et al.. (2001). Stereological estimation of eye volume using the Pappus method. Journal of Microscopy. 202(3). 473–479. 6 indexed citations

7.

Howard, C. V. & Matthew Reed. (1998). Unbiased Stereology: Three-Dimensional Measurement in Microscopy. Medical Entomology and Zoology. 1034 indexed citations breakdown →

8.

Reed, Matthew, C. V. Howard, & Chris Shelton. (1997). Confocal imaging and second‐order stereological analysis of a liquid foam. Journal of Microscopy. 185(3). 313–320. 12 indexed citations

9.

Reed, Matthew & C. V. Howard. (1997). Edge‐corrected estimators of the nearest‐neighbour distance distribution function for three‐dimensional point patterns. Journal of Microscopy. 186(2). 177–184. 13 indexed citations

10.

Roberts, Neil, et al.. (1997). Estimation of the connectivity of a synthetic porous medium. Journal of Microscopy. 187(2). 110–118. 16 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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