Michael A. Facello

825 citations
10 papers · 574 · h-index 8

Impact in

Papers in

Michael A. Facello

10 papers receiving 545 citations

Peers

Michael A. Facello
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 217
  • Computational Mechanics 146
  • Computational Theory and Mathematics 111
  • Computer Vision and Pattern Recognition 125
  • Geology 20
Replace Nimish R. Shah with:
Nimish R. Shah United States
Youngsong Cho South Korea
Július Parulek Norway
Yi Fang United States
Klaus Kriegel Germany
Neil G. Dickson Canada
Markus Billeter Sweden
Runze Zhang China
Y. Lamdan United States
Claudia Landi Italy
Michael A. Facello relative to Nimish R. Shah United States Nimish R. Shah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael A. Facello

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Facello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Michael A. Facello, 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 Michael A. Facello Line = papers co-authored together Michael A. Facello links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1998140
2 2000117
3 200297
4 200756
5 199955
6
On the definition and the construction of pockets in macromolecules.
199652
7 199543
8 199810
9
Constructing Delaunay and regular triangulations in three dimensions
19932
10
Geometric Techniques for Molecular Shape Analysis
19962

About Michael A. Facello

Michael A. Facello is a scholar working on Computer Graphics and Computer-Aided Design, Materials Chemistry, Molecular Biology, Signal Processing and Computational Mechanics, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Computational Geometry and Mesh Generation (4 papers), Data Management and Algorithms (3 papers), 3D Shape Modeling and Analysis (3 papers), Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Topological and Geometric Data Analysis (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (217 citations), Computational Mechanics (146 citations), Computational Theory and Mathematics (111 citations), Computer Vision and Pattern Recognition (125 citations) and Geology (20 citations). Michael A. Facello has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include Herbert Edelsbrunner, Jie Liang, Siu-Wing Cheng, Tamal K. Dey, Shang‐Hua Teng, Ping Fu, Tamás Várady, Jing Liang and Jiang Qian. Their work appears in journals such as Journal of the ACM, Computer Aided Geometric Design, Discrete Applied Mathematics, Computer-Aided Design and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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