David Saunders

2.3k citations
102 papers · 1.6k indexed · h-index 19

Impact in

    • Gas Dynamics and Kinetic Theory
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Turbulent Flows
    • Advanced Numerical Methods in Computational Mathematics

Papers in

David Saunders

91 papers receiving 1.5k citations

Peers

David Saunders
Comparison fields: 5 of 104
  • Applied Mathematics 465
  • Computational Mechanics 752
  • Finance 263
  • Aerospace Engineering 486
  • Statistics, Probability and Uncertainty 123
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Citations per field
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Citations per year

Countries citing papers authored by David Saunders

Since Specialization
Citations

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

Fields of papers citing papers by David Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20231
4 20225
5
An Essential Radiation Analysis Tool for Space Exploration: NEQAIR v15.1 Tutorial
20211
6 20202
7 20190
8 20187
9 201610
10 20161
11
Thermophysics Issues Relevant to High-Speed Earth Entry of Large Asteroids
20161
12 20161
13 201320
14 20083
15
Risk Management in Emerging Markets: Practical Methodologies and Empirical Tests
20061
16 20061
17 200410
18
Nuisance criteria development for an automatic air collision avoidance system
20000
19 1999285
20
Rigid wing tags for cockatoos
198028

About David Saunders

David Saunders is a scholar working on Applied Mathematics, Finance, Aerospace Engineering, Demography and Management Science and Operations Research, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (28 papers), Computational Fluid Dynamics and Aerodynamics (24 papers), Stochastic processes and financial applications (19 papers), Insurance, Mortality, Demography, Risk Management (16 papers), Insurance and Financial Risk Management (11 papers), Rocket and propulsion systems research (11 papers), Risk and Portfolio Optimization (11 papers) and Spacecraft and Cryogenic Technologies (8 papers). The work is most often cited by research in Applied Mathematics (465 citations), Computational Mechanics (752 citations), Finance (263 citations), Aerospace Engineering (486 citations) and Statistics, Probability and Uncertainty (123 citations). David Saunders has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include James Reuther, Antony Jameson, Juan J. Alonso, M. Rimlinger, Luigi Martinelli, A. Jameson, James Farmer, Josephine Reuther, Dan Rosen and Dinesh Prabhu. Their work appears in journals such as Journal of Spacecraft and Rockets, North American Actuarial Journal, Journal of Aircraft, Astin Bulletin and Scandinavian Actuarial Journal.

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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