R. E. Marsh

23 papers receiving 565 citations

Peers

R. E. Marsh
Comparison fields: 5 of 118
  • Modeling and Simulation 41
  • Physical and Theoretical Chemistry 59
  • Inorganic Chemistry 81
  • Spectroscopy 77
  • Earth-Surface Processes 29
Replace E. Gey with:
E. Gey Germany
Yaxiong Sun United States
F. Sauter Austria
H. Nikjoo United Kingdom
Neera Sharma India
Lihui Jia China
Michael Brandl United States
Michael L. Williams United States
J.H. Weare United States
Donald R. Smith United States
R. E. Marsh relative to E. Gey Germany E. Gey's profile →
Citations per field
00.5×3.6×
E. Gey · 1×
Citations per year

Countries citing papers authored by R. E. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. E. Marsh. 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 R. E. Marsh. The network helps show where R. E. Marsh may publish in the future.

Co-authors

The 21 scholars most cited alongside R. E. Marsh, 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 R. E. Marsh Line = papers co-authored together R. E. Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970146
2 1959143
3 200261
4 198853
5 200237
6 201332
7 198324
8 200619
9 201318
10 200811
11 200510
12 20008
13
Use of a simulated annealing algorithm to fit compartmental models with an application to fractal pharmacokinetics.
20077
14 20066
15 20006
16
A review of basic principles of fractals and their application to pharmacokinetics.
20086
17 20185
18 20073
19 20073
20 20112

About R. E. Marsh

R. E. Marsh is a scholar working on Spectroscopy, Modeling and Simulation, Computational Mechanics, Computational Theory and Mathematics and Radiation, having authored 26 papers that have together received 605 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Field-Flow Fractionation Techniques (3 papers), Fractional Differential Equations Solutions (3 papers), Computational Drug Discovery Methods (3 papers), Nuclear Physics and Applications (3 papers), Mathematical Biology Tumor Growth (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Physical and Theoretical Chemistry (59 citations), Inorganic Chemistry (81 citations), Spectroscopy (77 citations) and Earth-Surface Processes (29 citations). R. E. Marsh has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Ulf Thewalt, Charles E. Bugg, Verner Schomaker, Jack A. Tuszyński, J. Waser, F. H. Herbstein, W.J. Rink, W. V. Prestwich, B.J. Brennan and Dennis Coombe. Their work appears in journals such as Radiation Measurements, Theoretical Biology and Medical Modelling, Communications in Computational Physics, Mathematical Biosciences & Engineering and Journal of Pharmacy & Pharmaceutical Sciences.

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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