A. Talbot

22 papers receiving 796 citations

A. Talbot's Hit Papers

The Accurate Numerical Inversion of Laplace Transforms 1979 · 634 citations
6340+15+31Years since publication200400600

Peers

A. Talbot
Comparison fields: 5 of 113
  • Numerical Analysis 167
  • Modeling and Simulation 131
  • Environmental Engineering 141
  • Applied Mathematics 93
  • Civil and Structural Engineering 193
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W. Nachbar United States
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Brian Martin Australia
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Aldo Tagliani Italy
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A. R. Gourlay United Kingdom
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A. Talbot relative to W. Nachbar United States W. Nachbar's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Talbot

Since Specialization
Citations

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

Fields of papers citing papers by A. Talbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside A. Talbot, 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 A. Talbot Line = papers co-authored together A. Talbot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Accurate Numerical Inversion of Laplace Transforms
Hit paper breakdown →
1979634
2 197184
3 200934
4 195925
5 196521
6 196514
7 195511
8 196010
9 19548
10 19627
11 19597
12 19546
13 19765
14 19735
15 19665
16
The effects of 24% paraquat (1,1'-dimethyl-4,4'-bipyridylium dichloride) on hemodynamics, blood gases, plasma lactate and plasma catecholamines in dogs.
19895
17 19825
18 19825
19 19724
20
A note on interpolating periodic quintic spline functions
19703

About A. Talbot

A. Talbot is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics, Molecular Biology and Electrical and Electronic Engineering, having authored 24 papers that have together received 904 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (2 papers), Matrix Theory and Algorithms (2 papers), Numerical Methods and Algorithms (2 papers), Approximation Theory and Sequence Spaces (2 papers), Mathematical functions and polynomials (2 papers), Blood groups and transfusion (1 paper), Photonic and Optical Devices (1 paper) and Blood transfusion and management (1 paper). The work is most often cited by research in Numerical Analysis (167 citations), Modeling and Simulation (131 citations), Environmental Engineering (141 citations), Applied Mathematics (93 citations) and Civil and Structural Engineering (193 citations). A. Talbot has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Susan Duncan, Helen Caswell, Tomokazu Kato, I.M. Filanovsky, G. H. G. Davis, Takashi Harada, Anne Parry and Teruo Sone. Their work appears in journals such as Mathematical Proceedings of the Cambridge Philosophical Society, The Quarterly Journal of Mechanics and Applied Mathematics, Bulletin of the London Mathematical Society, Epilepsy & Behavior and The Medical Journal of Australia.

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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