Todd Urbatsch

719 citations
28 papers · 373 indexed · h-index 10

Impact in

Papers in

Todd Urbatsch

26 papers receiving 356 citations

Peers

Todd Urbatsch
Comparison fields: 5 of 46
  • Applied Mathematics 120
  • Nuclear and High Energy Physics 98
  • Computational Mechanics 136
  • Astronomy and Astrophysics 103
  • Radiation 45
Replace Jeffery D. Densmore with:
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Citations per field
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Citations per year

Countries citing papers authored by Todd Urbatsch

Since Specialization
Citations

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

Fields of papers citing papers by Todd Urbatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20232
4 20224
5 20224
6 20223
7 20217
8 20216
9 20199
10 20171
11 201610
12
Temperature-extrapolation method for Implicit Monte Carlo - Radiation hydrodynamics calculations
20131
13 201251
14
An Improved Algorithm for Calculating the Number of IMC Source Particles
20081
15 200658
16
Discrete Diffusion Monte Carlo for grey Implicit Monte Carlo simulations.
20057
17 200524
18
1-D Equilibrium Discrete Diffusion Monte Carlo
20004
19
AVATAR -- Automatic variance reduction in Monte Carlo calculations
199716
20
Beam characterization at the Neutron Radiography Facility (NRAD)
19925

About Todd Urbatsch

Todd Urbatsch is a scholar working on Radiation, Nuclear and High Energy Physics, Applied Mathematics, Aerospace Engineering and Numerical Analysis, having authored 28 papers that have together received 373 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (9 papers), Laser-induced spectroscopy and plasma (6 papers), Gas Dynamics and Kinetic Theory (6 papers), Laser-Plasma Interactions and Diagnostics (4 papers), Nuclear Physics and Applications (4 papers), X-ray Spectroscopy and Fluorescence Analysis (4 papers), Air Quality and Health Impacts (3 papers) and Atomic and Molecular Physics (3 papers). The work is most often cited by research in Applied Mathematics (120 citations), Nuclear and High Energy Physics (98 citations), Computational Mechanics (136 citations), Astronomy and Astrophysics (103 citations) and Radiation (45 citations). Todd Urbatsch has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Jeffery D. Densmore, Thomas Evans, Ryan G. McClarren, Lena Murchikova, Ernazar Abdikamalov, Thomas Brunner, N. A. Gentile, K. A. van Riper, Jim E. Morel and Chris L. Fryer. Their work appears in journals such as Journal of Computational Physics, Review of Scientific Instruments, High Energy Density Physics, Physics of Plasmas and The Astrophysical 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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