Peter Grindrod

3.6k citations
83 papers · 2.0k indexed · 1 hit paper · h-index 20

Peter Grindrod

77 papers receiving 1.8k citations

Hit Papers

A roadmap for the computation of persistent homology3692017202620202023100200300

Peers

Peter Grindrod
Comparison fields: 5 of 148
  • Statistical and Nonlinear Physics 493
  • Computational Theory and Mathematics 398
  • Modeling and Simulation 91
  • Computational Mathematics 9
  • Biophysics 85
Replace Daniel Zwillinger with:
Daniel Zwillinger United States
U. Narayan Bhat United States
G. Giftson Samuel India
Elizaveta Levina United States
Hartmut Jürgens Germany
Sandro Ridella Italy
Lester Ingber United States
Timothy Poston Singapore
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Peter Grindrod relative to Daniel Zwillinger United States Daniel Zwillinger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Grindrod

Since Specialization
Citations

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

Fields of papers citing papers by Peter Grindrod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Peter Grindrod, 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 Peter Grindrod Line = papers co-authored together Peter Grindrod links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20232
3 20230
4 20211
5 20189
6 201817
7 20184
8 20175
9
A roadmap for the computation of persistent homologybreakdown →
2017369
10 20167
11 201615
12 2011105
13 20037
14 19950
15
How Should the Migration and Retardation of Colloids be Characterized
19941
16
Saturation and Gas Migration Within Clay Buffers
19944
17
Patterns and waves : the theory and applications of reaction-diffusion equations
199173
18 199117
19 19918
20 19847

About Peter Grindrod

Peter Grindrod is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Computer Networks and Communications, Transportation and Communication, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (25 papers), Opinion Dynamics and Social Influence (20 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Bioinformatics and Genomic Networks (8 papers), Groundwater flow and contamination studies (8 papers), Neural dynamics and brain function (6 papers), Gene Regulatory Network Analysis (6 papers) and Advanced Mathematical Modeling in Engineering (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (493 citations), Computational Theory and Mathematics (398 citations), Modeling and Simulation (91 citations), Computational Mathematics (9 citations) and Biophysics (85 citations). Peter Grindrod has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Colin Singleton, Desmond J. Higham, Stephen Haben, Ulrike Tillmann, Mason A. Porter, Heather A. Harrington, Nina Otter, Jagannathan Gomatam, Ernesto Estrada and Danica Vukadinović Greetham. Their work appears in journals such as Journal of Mathematical Biology, Journal of Contaminant Hydrology, Royal Society Open Science, Mathematical Medicine and Biology A Journal of the IMA and Bulletin of Mathematical Biology.

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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