Michael A. Penna

431 citations
28 papers · 311 · h-index 9

Impact in

Papers in

Michael A. Penna

22 papers receiving 271 citations

Peers

Michael A. Penna
Comparison fields: 5 of 55
  • Computer Graphics and Computer-Aided Design 66
  • Computer Vision and Pattern Recognition 221
  • Media Technology 47
  • Geology 18
  • Computational Mechanics 46
Replace C. Rothwell with:
C. Rothwell United Kingdom
Thomas Schoenemann Germany
Aaron Heller United States
T. Naveen United States
Kwon Junghyun South Korea
Jonathan W. Brandt United States
Pablo Arias France
Jan Erik Solem Sweden
Tim Dennis United Kingdom
Jacques‐Olivier Lachaud France
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Citations per field
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Citations per year

Countries citing papers authored by Michael A. Penna

Since Specialization
Citations

This map shows the geographic impact of Michael A. Penna'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. Penna 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. Penna more than expected).

Fields of papers citing papers by Michael A. Penna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199182
2
Projective geometry and its applications to computer graphics
198644
3 199133
4 198626
5 198923
6 197819
7 199312
8 20079
9 19948
10 19898
11 19867
12 20057
13 20076
14 19926
15 19754
16 20063
17 19752
18 19872
19
Differential-Geometry on Simplicial Manifolds
19742
20 19802

About Michael A. Penna

Michael A. Penna is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Mathematical Physics, Computational Mechanics and Computational Theory and Mathematics, having authored 28 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (7 papers), Optical measurement and interference techniques (5 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Topological and Geometric Data Analysis (4 papers), Medical Image Segmentation Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (221 citations), Media Technology (47 citations), Geology (18 citations) and Computational Mechanics (46 citations). Michael A. Penna has collaborated with scholars based in United States. Frequent co-authors include Su‐Shing Chen, K.A. Dines, Ralf Seip, N. T. Sanghvi, Narendra T. Sanghvi, Wo-Hsing Chen, Thomas A. Gardner and Walter C. Low. Their work appears in journals such as Transactions of the American Mathematical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Pacific Journal of Mathematics and Pattern Recognition.

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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