Matt Holzer

420 total citations
22 papers, 249 citations indexed

About

Matt Holzer is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Matt Holzer has authored 22 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 11 papers in Computer Networks and Communications and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Matt Holzer's work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Evolution and Genetic Dynamics (8 papers). Matt Holzer is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Evolution and Genetic Dynamics (8 papers). Matt Holzer collaborates with scholars based in United States, France and Netherlands. Matt Holzer's co-authors include Arnd Scheel, Tasso J. Kaper, Anthony Harkin, Robert Deville, Krešimir Josić́, Arjen Doelman, Nikola Popović, Grégory Faye, Montie Avery and Tomáš Gedeon and has published in prestigious journals such as Physica D Nonlinear Phenomena, Bulletin of Mathematical Biology and Journal of Mathematical Biology.

In The Last Decade

Matt Holzer

20 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Holzer United States 9 114 110 81 59 56 22 249
Peter van Heijster Australia 13 204 1.8× 146 1.3× 137 1.7× 51 0.9× 99 1.8× 34 379
Wayne Nagata Canada 12 134 1.2× 113 1.0× 72 0.9× 74 1.3× 40 0.7× 27 296
Geertje Hek Netherlands 8 119 1.0× 84 0.8× 124 1.5× 43 0.7× 34 0.6× 15 350
Gaihui Guo China 13 150 1.3× 266 2.4× 62 0.8× 135 2.3× 116 2.1× 51 380
Genghong Lin China 11 49 0.4× 72 0.7× 135 1.7× 41 0.7× 32 0.6× 31 436
Grégory Faye France 10 132 1.2× 44 0.4× 155 1.9× 14 0.2× 28 0.5× 34 301
E. P. Zemskov Russia 12 251 2.2× 129 1.2× 159 2.0× 46 0.8× 48 0.9× 37 378
G. Gambino Italy 13 298 2.6× 298 2.7× 153 1.9× 143 2.4× 159 2.8× 33 593
Hiroki Yagisita Japan 8 44 0.4× 175 1.6× 25 0.3× 38 0.6× 88 1.6× 16 300

Countries citing papers authored by Matt Holzer

Since Specialization
Citations

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

Fields of papers citing papers by Matt Holzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Holzer

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Holzer. A scholar is included among the top collaborators of Matt Holzer 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 Matt Holzer. Matt Holzer 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.
Avery, Montie, Matt Holzer, & Arnd Scheel. (2025). Pushed and pulled fronts in a logistic Keller–Segel model with chemorepulsion*. Nonlinearity. 38(2). 25017–25017.
2.
Avery, Montie, Matt Holzer, & Arnd Scheel. (2023). Pushed-to-Pulled Front Transitions: Continuation, Speed Scalings, and Hidden Monotonicty. Journal of Nonlinear Science. 33(6). 5 indexed citations
3.
Holzer, Matt, et al.. (2023). Pattern Formation in Random Networks Using Graphons. SIAM Journal on Mathematical Analysis. 55(3). 2150–2185. 3 indexed citations
4.
Holzer, Matt, et al.. (2022). Epidemic Spreading on Complex Networks as Front Propagation into an Unstable State. Bulletin of Mathematical Biology. 85(1). 4–4. 1 indexed citations
5.
Faye, Grégory, et al.. (2022). Invasion into remnant instability: a case study of front dynamics. Indiana University Mathematics Journal. 71(5). 1819–1896. 4 indexed citations
6.
Faye, Grégory, Thomas Giletti, & Matt Holzer. (2021). Asymptotic spreading for Fisher-KPP reaction-diffusion equations with heterogeneous shifting diffusivity. Discrete and Continuous Dynamical Systems - S. 15(9). 2467–2467. 2 indexed citations
7.
Faye, Grégory, et al.. (2020). Invasion into remnant instability: a case study of front dynamics. arXiv (Cornell University). 3 indexed citations
8.
Faye, Grégory & Matt Holzer. (2018). Bifurcation to locked fronts in two component reaction–diffusion systems. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 36(2). 545–584. 1 indexed citations
9.
Holzer, Matt, et al.. (2018). Estimating epidemic arrival times using linear spreading theory. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(1). 13105–13105. 6 indexed citations
10.
Holzer, Matt & Nikola Popović. (2017). Wavetrain Solutions of a Reaction-Diffusion-Advection Model of Mussel-Algae Interaction. SIAM Journal on Applied Dynamical Systems. 16(1). 431–478. 9 indexed citations
11.
Holzer, Matt & Arnd Scheel. (2014). Accelerated Fronts in a Two-Stage Invasion Process. SIAM Journal on Mathematical Analysis. 46(1). 397–427. 28 indexed citations
12.
Holzer, Matt & Arnd Scheel. (2014). Criteria for Pointwise Growth and Their Role in Invasion Processes. Journal of Nonlinear Science. 24(4). 661–709. 28 indexed citations
13.
Holzer, Matt & Tasso J. Kaper. (2014). An analysis of the renormalization group method for asymptotic expansions with logarithmic switchback terms. Advances in Differential Equations. 19(3/4). 3 indexed citations
14.
Holzer, Matt. (2013). Anomalous spreading in a system of coupled Fisher–KPP equations. Physica D Nonlinear Phenomena. 270. 1–10. 20 indexed citations
15.
Holzer, Matt, Arjen Doelman, & Tasso J. Kaper. (2012). Existence and Stability of Traveling Pulses in a Reaction–Diffusion-Mechanics System. Journal of Nonlinear Science. 23(1). 129–177. 22 indexed citations
16.
Holzer, Matt & Arnd Scheel. (2012). A slow pushed front in a Lotka–Volterra competition model. Nonlinearity. 25(7). 2151–2179. 26 indexed citations
17.
Deville, Robert, Anthony Harkin, Matt Holzer, Krešimir Josić́, & Tasso J. Kaper. (2008). Analysis of a renormalization group method and normal form theory for perturbed ordinary differential equations. Physica D Nonlinear Phenomena. 237(8). 1029–1052. 56 indexed citations
18.
Harkin, Anthony, Matt Holzer, & Tasso J. Kaper. (2006). Analysis of a Renormalization Group Method for Solving Perturbed Ordinary Dieren tial Equations. 1 indexed citations
19.
Holzer, Matt, et al.. (2004). Phase locking in integrate-and-fire models with refractory periods and modulation. Journal of Mathematical Biology. 49(6). 577–603. 10 indexed citations
20.
Gedeon, Tomáš, Matt Holzer, & Mark Pernarowski. (2003). Attractor reconstruction from interspike intervals is incomplete. Physica D Nonlinear Phenomena. 178(3-4). 149–172. 7 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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