David L. Millman

615 citations
20 papers · 387 · h-index 7

Impact in

Papers in

David L. Millman

19 papers receiving 365 citations

Peers

David L. Millman
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 54
  • Aerospace Engineering 186
  • Ocean Engineering 105
  • Radiation 54
  • Signal Processing 60
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Citations per field
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Citations per year

Countries citing papers authored by David L. Millman

Since Specialization
Citations

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

Fields of papers citing papers by David L. Millman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David L. Millman, 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 L. Millman Line = papers co-authored together David L. Millman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011176
2 201461
3 200849
4 201042
5 201014
6 201413
7 20097
8 20145
9
ROBUST VOLUME CALCULATIONS FOR CONSTRUCTIVE SOLID GEOMETRY (CSG) COMPONENTS IN MONTE CARLO TRANSPORT CALCULATIONS
20124
10
A Slow Algorithm for Computing the Gabriel Graph with Double Precision
20113
11
Analysis of distances between inclusions in finite one-dimensional binary stochastic materials
20093
12 20212
13 20022
14
The First Algorithm for Reconstructing Simplicial Complexes of Arbitrary Dimension from Persistence Diagrams
20191
15
Learning Simplicial Complexes from Persistence Diagrams.
20181
16 20141
17 20101
18 20191
19 20121
20 20250

About David L. Millman

David L. Millman is a scholar working on Signal Processing, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Computational Geometry and Mesh Generation (6 papers), Nuclear reactor physics and engineering (4 papers), Topological and Geometric Data Analysis (3 papers), Nuclear Physics and Applications (3 papers), Nuclear Materials and Properties (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Asphalt Pavement Performance Evaluation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (54 citations), Aerospace Engineering (186 citations), Ocean Engineering (105 citations), Radiation (54 citations) and Signal Processing (60 citations). David L. Millman has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Sebastian Thrun, David Stavens, Alok Aggarwal, Joseph Huang, Morgan Quigley, Brittany Terese Fasy, Johannes Singler, Sylvain Pion, Daniel Gill and Thomas M. Sutton. Their work appears in journals such as Annals of Nuclear Energy, Computational Geometry, Discrete & Computational Geometry, Journal of Quantitative Spectroscopy and Radiative Transfer and Canadian Conference on Computational Geometry.

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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