Mark M. Meerschaert

22.5k citations
203 papers · 16.2k indexed · 10 hit papers · h-index 63
Topics
Fractional Differential Equations Solutions (109 papers)Nonlinear Differential Equations Analysis (35 papers)Financial Risk and Volatility Modeling (32 papers)

In The Last Decade

Mark M. Meerschaert

202 papers receiving 15.4k citations

Hit Papers

Finite difference approximations for fractional advection...1993202620042015200420002005200019932505007501000

Peers

Mark M. Meerschaert
Comparison fields: 5 of 179
  • Modeling and Simulation 10.6k
  • Numerical Analysis 6.0k
  • Applied Mathematics 3.4k
  • Mechanics of Materials 2.5k
  • Environmental Engineering 2.3k
Replace Vo Anh with:
Vo Anh Australia
Francesco Mainardi Italy
David A. Benson United States
Shijun Liao China
Michèle Caputo Italy
Steven A. Orszag United States
Chi‐Wang Shu United States
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Bashir Ahmad Saudi Arabia
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Mark M. Meerschaert relative to Vo Anh Australia Vo Anh's profile →
Citations per field
00.5×7.9×
Vo Anh · 1×
Citations per year

Countries citing papers authored by Mark M. Meerschaert

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Meerschaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark M. Meerschaert. 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 Mark M. Meerschaert. The network helps show where Mark M. Meerschaert may publish in the future.

Co-authorship network of co-authors of Mark M. Meerschaert

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Meerschaert. A scholar is included among the top collaborators of Mark M. Meerschaert 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 Mark M. Meerschaert. Mark M. Meerschaert 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
#WorkIndexed citations
1 11
2 35
3 38
4 36
5 33
6 6
7 1
8 32
9
Tempered fractional Cauchy problems on bounded domains
1
10 11
11 30
12 3
13 195
14 22
15 44
16 14
17
Parameter Estimation for Periodically Stationary Time Series
1
18
Identification of PARMA Models and Their Application to the Modeling of River flows
8
19
Advection and dispersion in time and space
1
20 14

About Mark M. Meerschaert

Mark M. Meerschaert is a scholar working on Modeling and Simulation, Numerical Analysis and Mathematical Physics, having authored 203 papers that have together received 16.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (109 papers), Nonlinear Differential Equations Analysis (35 papers) and Financial Risk and Volatility Modeling (32 papers). The work is most often cited by research in Modeling and Simulation (10.6k citations), Numerical Analysis (6.0k citations) and Applied Mathematics (3.4k citations). Mark M. Meerschaert has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include David A. Benson, Charles Tadjeran, Hans‐Peter Scheffler, Stephen W. Wheatcraft, Boris Baeumer, R. Schumer, Alla Sikorskii, Erkan Nane, Farzad Sabzikar and Yong Zhang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Water Resources Research.

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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