Matt Holzer

20 papers receiving 230 citations

Peers

Matt Holzer
Comparison fields: 5 of 45
  • Modeling and Simulation 56
  • Statistical and Nonlinear Physics 81
  • Numerical Analysis 28
  • Computer Networks and Communications 114
  • Public Health, Environmental and Occupational Health 110
Replace Wayne Nagata with:
Wayne Nagata Canada
Peter van Heijster Australia
Geertje Hek Netherlands
Gaihui Guo China
Grégory Faye France
G. Gambino Italy
Saïd Kouachi Saudi Arabia
Hiroki Yagisita Japan
Genghong Lin China
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Citations per year

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-authors

The 13 scholars most cited alongside Matt Holzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt Holzer Line = papers co-authored together Matt Holzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 201428
3 201428
4 201226
5 201222
6 201320
7 200410
8 20179
9 20159
10 20037
11 20186
12 20235
13 20185
14 20224
15 20203
16 20143
17 20233
18 20212
19 20221
20
Analysis of a Renormalization Group Method for Solving Perturbed Ordinary Dieren tial Equations
20061

About Matt Holzer

Matt Holzer is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Statistical and Nonlinear Physics, Genetics and Modeling and Simulation, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Evolution and Genetic Dynamics (8 papers), stochastic dynamics and bifurcation (4 papers), Complex Network Analysis Techniques (3 papers), Numerical methods for differential equations (3 papers), Stochastic processes and statistical mechanics (3 papers) and Differential Equations and Numerical Methods (3 papers). The work is most often cited by research in Modeling and Simulation (56 citations), Statistical and Nonlinear Physics (81 citations), Numerical Analysis (28 citations), Computer Networks and Communications (114 citations) and Public Health, Environmental and Occupational Health (110 citations). Matt Holzer has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Arnd Scheel, Tasso J. Kaper, Anthony Harkin, Krešimir Josić́, Robert Deville, Arjen Doelman, Nikola Popović, Grégory Faye, Mark Pernarowski and Anne Shapiro. Their work appears in journals such as Journal of Nonlinear Science, Physica D Nonlinear Phenomena, SIAM Journal on Mathematical Analysis, Nonlinearity and Discrete and Continuous Dynamical Systems - S.

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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