David H. Eberly

3.9k total citations · 1 hit paper
53 papers, 2.4k citations indexed

About

David H. Eberly is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, David H. Eberly has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Mechanics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in David H. Eberly's work include Medical Image Segmentation Techniques (14 papers), Computer Graphics and Visualization Techniques (7 papers) and Digital Image Processing Techniques (7 papers). David H. Eberly is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Computer Graphics and Visualization Techniques (7 papers) and Digital Image Processing Techniques (7 papers). David H. Eberly collaborates with scholars based in United States, Germany and Finland. David H. Eberly's co-authors include Jerrold Bebernes, Philip J. Schneider, Stephen M. Pizer, Daniel Fritsch, Bryan S. Morse, Robert B. Gardner, B. Morse, Christine Scharlach, Steven D. Pizer and Jack L. Lancaster and has published in prestigious journals such as IEEE Transactions on Signal Processing, Medical Physics and Journal of Mathematical Analysis and Applications.

In The Last Decade

David H. Eberly

49 papers receiving 2.2k citations

Hit Papers

Mathematical Problems from Combustion Theory 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David H. Eberly United States 21 906 434 387 319 316 53 2.4k
Günther Greiner Germany 22 661 0.7× 613 1.4× 449 1.2× 594 1.9× 290 0.9× 94 2.6k
Vance Faber United States 15 345 0.4× 550 1.3× 109 0.3× 356 1.1× 541 1.7× 57 2.3k
Martin Rumpf Germany 32 956 1.1× 1.5k 3.4× 102 0.3× 875 2.7× 383 1.2× 131 2.8k
Joachim Weickert Germany 18 2.8k 3.1× 652 1.5× 70 0.2× 247 0.8× 232 0.7× 39 3.9k
Richard H. Bartels Canada 22 1.1k 1.2× 1.7k 3.8× 109 0.3× 883 2.8× 797 2.5× 57 4.2k
H.J. Trussell United States 29 1.5k 1.6× 342 0.8× 68 0.2× 58 0.2× 117 0.4× 148 3.1k
Coloma Ballester Spain 17 3.4k 3.8× 582 1.3× 176 0.5× 775 2.4× 250 0.8× 41 4.1k
Thierry Blu Switzerland 30 2.9k 3.2× 1.0k 2.4× 311 0.8× 108 0.3× 55 0.2× 83 4.7k
Martin Buhmann Germany 20 272 0.3× 936 2.2× 290 0.7× 66 0.2× 316 1.0× 61 2.5k
Robert M. Kirby United States 35 559 0.6× 2.0k 4.6× 65 0.2× 678 2.1× 352 1.1× 145 3.7k

Countries citing papers authored by David H. Eberly

Since Specialization
Citations

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

Fields of papers citing papers by David H. Eberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Eberly

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Eberly. A scholar is included among the top collaborators of David H. Eberly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David H. Eberly. David H. Eberly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eberly, David H.. (2016). Triangulation by Ear Clipping. 18 indexed citations
2.
Eberly, David H.. (2004). 3D Game Engine Architecture: Engineering Real-Time Applications with Wild Magic (The Morgan Kaufmann Series in Interactive 3D Technology). Anesthesiology and Pain Medicine. 1(2). 115–6. 4 indexed citations
3.
Eberly, David H.. (2002). Quaternion Algebra and Calculus. 46(6). 1243–50. 42 indexed citations
4.
Eberly, David H.. (1996). Ridges in Image and Data Analysis. 166 indexed citations
5.
Aylward, Stephen, E. Bullitt, Stephen M. Pizer, & David H. Eberly. (1996). Intensity ridge and widths for tubular object segmentation and description. 131–138. 95 indexed citations
6.
Eberly, David H.. (1995). <title>Fast algorithms for ridge construction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2356. 231–242. 3 indexed citations
7.
Liu, Alan, Stephen M. Pizer, David H. Eberly, et al.. (1994). <title>Volume registration using the 3D core</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2359. 217–226. 15 indexed citations
8.
Eberly, David H.. (1994). Geometric methods for analysis of ridges in n-dimensional images. 27 indexed citations
9.
Eberly, David H., et al.. (1994). <title>Object-based interpolation via cores</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2167. 143–150. 15 indexed citations
10.
Fritsch, Daniel, David H. Eberly, Stephen M. Pizer, & Matthew McAuliffe. (1994). Stimulated Cores and their Applications in Medical Imaging. 18 indexed citations
11.
Fritsch, Daniel, Stephen M. Pizer, Bryan S. Morse, David H. Eberly, & Alan Liu. (1994). The multiscale medial axis and its applications in image registration. Pattern Recognition Letters. 15(5). 445–452. 46 indexed citations
12.
Eberly, David H., et al.. (1992). Statistical properties, fixed points, and decomposition with WMMR filters. Journal of Mathematical Imaging and Vision. 2(2-3). 99–116. 4 indexed citations
13.
Lancaster, Jack L., David H. Eberly, Abdalmajeid M. Alyassin, J. Hunter Downs, & Peter T. Fox. (1992). A geometric model for measurement of surface distance, surface area, and volume from tomographic images. Medical Physics. 19(2). 419–431. 20 indexed citations
14.
Eberly, David H., et al.. (1992). On Convergence of Convex Minorant Algorithms for Distribution Estimation with Interval-Censored Data. Journal of Computational and Graphical Statistics. 1(2). 129–129. 9 indexed citations
15.
Eberly, David H., et al.. (1992). On Convergence of Convex Minorant Algorithms for Distribution Estimation with Interval-Censored Data. Journal of Computational and Graphical Statistics. 1(2). 129–140. 26 indexed citations
16.
Eberly, David H., et al.. (1991). Adaptation of group algebras to signal and image processing. 53(4). 340–348. 4 indexed citations
17.
Eberly, David H., et al.. (1990). <title>Hexagonal tessellations in image algebra</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1350. 25–30. 2 indexed citations
18.
Eberly, David H.. (1988). Nonexistence for the Kassoy problem in dimensions 1 and 2. Journal of Mathematical Analysis and Applications. 129(2). 401–408. 11 indexed citations
19.
Eberly, David H. & William C. Troy. (1987). Existence of logarithmic-type solutions to the Kapila-Kassoy problem in dimensions 3 through 9. Journal of Differential Equations. 70(3). 309–324. 13 indexed citations
20.
Eberly, David H., et al.. (1987). Group Convolutions and Matrix Transforms. SIAM Journal on Algebraic and Discrete Methods. 8(2). 263–276. 2 indexed citations

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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