Dan Gordon

2.0k total citations
47 papers, 1.3k citations indexed

About

Dan Gordon is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Gordon has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Gordon's work include Advanced Numerical Methods in Computational Mathematics (11 papers), Computer Graphics and Visualization Techniques (11 papers) and Electromagnetic Scattering and Analysis (8 papers). Dan Gordon is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Computer Graphics and Visualization Techniques (11 papers) and Electromagnetic Scattering and Analysis (8 papers). Dan Gordon collaborates with scholars based in Israel, United States and Spain. Dan Gordon's co-authors include Rachel Gordon, Roger Reynolds, Yair Censor, P. P. B. Eggermont, Gideon Frieder, Jayaram K. Udupa, Stanley Waterman, Eli Turkel, Semyon Tsynkov and Assaf Schuster and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Medical Imaging and International Journal for Numerical Methods in Engineering.

In The Last Decade

Dan Gordon

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Gordon Israel 19 512 399 343 210 201 47 1.3k
Rongjie Lai United States 18 396 0.8× 399 1.0× 121 0.4× 130 0.6× 77 0.4× 60 1.0k
Anil N. Hirani United States 14 469 0.9× 222 0.6× 318 0.9× 43 0.2× 55 0.3× 30 894
Yen‐Hsi Richard Tsai United States 10 310 0.6× 315 0.8× 92 0.3× 80 0.4× 38 0.2× 17 907
J. A. Scott United Kingdom 22 420 0.8× 121 0.3× 35 0.1× 164 0.8× 301 1.5× 145 1.8k
Don P. Mitchell United States 16 538 1.1× 1.1k 2.8× 944 2.8× 55 0.3× 21 0.1× 26 1.7k
Fiorella Sgallari Italy 22 555 1.1× 629 1.6× 30 0.1× 208 1.0× 144 0.7× 89 1.7k
Chen Greif Canada 20 750 1.5× 220 0.6× 165 0.5× 19 0.1× 132 0.7× 55 1.4k
Y.Y. Zeevi Israel 20 437 0.9× 2.0k 4.9× 154 0.4× 144 0.7× 98 0.5× 108 2.7k
Shahar Mendelson Australia 23 574 1.1× 196 0.5× 28 0.1× 33 0.2× 245 1.2× 105 1.9k
Jean–François Aujol France 26 736 1.4× 1.9k 4.7× 128 0.4× 153 0.7× 30 0.1× 81 2.4k

Countries citing papers authored by Dan Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Gordon. A scholar is included among the top collaborators of Dan Gordon 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 Dan Gordon. Dan Gordon 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.
Gordon, Dan & Rachel Gordon. (2020). CADD: A seamless solution to the Domain Decomposition problem of subdomain boundaries and cross-points. Wave Motion. 98. 102649–102649. 4 indexed citations
2.
Gordon, Dan & Rachel Gordon. (2012). Robust and highly scalable parallel solution of the Helmholtz equation with large wave numbers. Journal of Computational and Applied Mathematics. 237(1). 182–196. 24 indexed citations
3.
Gordon, Dan & Rachel Gordon. (2011). AN OVERVIEW OF THE CARP-CG ALGORITHM. 1 indexed citations
4.
Gordon, Dan & Rachel Gordon. (2010). Row scaling as a preconditioner for some nonsymmetric linear systems with discontinuous coefficients. Journal of Computational and Applied Mathematics. 234(12). 3480–3495. 9 indexed citations
5.
Gordon, Dan. (2010). Corner cutting and augmentation: An area-preserving method for smoothing polygons and polylines. Computer Aided Geometric Design. 27(7). 551–562. 2 indexed citations
6.
Gordon, Dan & Rachel Gordon. (2009). Solution Methods for Nonsymmetric Linear Systems with Large off-Diagonal Elements and Discontinuous Coefficients. Computer Modeling in Engineering & Sciences. 53(1). 23–46. 13 indexed citations
7.
Gordon, Dan, et al.. (2008). VS: A surface-based system for topological analysis, quantization and visualization of voxel data. Medical Image Analysis. 13(2). 245–256. 2 indexed citations
8.
Gordon, Dan, et al.. (2005). A Geometric Approach to Quadratic Optimization in Computerized Tomography.. 60–65. 1 indexed citations
9.
Gordon, Dan & Rachel Gordon. (2005). Component-Averaged Row Projections: A Robust, Block-Parallel Scheme for Sparse Linear Systems. SIAM Journal on Scientific Computing. 27(3). 1092–1117. 60 indexed citations
10.
Gordon, Dan, et al.. (2004). The Voxel-Sweep: A Boundary-Based Algorithm for Object Segmentation and Connected-Components Detection. Vision Modeling and Visualization. 405–411. 1 indexed citations
11.
Censor, Yair, Dan Gordon, & Rachel Gordon. (2001). BICAV: a block-iterative parallel algorithm for sparse systems with pixel-related weighting. IEEE Transactions on Medical Imaging. 20(10). 1050–1060. 64 indexed citations
12.
Censor, Yair, Dan Gordon, & Rachel Gordon. (2001). Component averaging: An efficient iterative parallel algorithm for large and sparse unstructured problems. Parallel Computing. 27(6). 777–808. 149 indexed citations
13.
Gordon, Dan, et al.. (1998). Adaptive Supersampling in Object Space Using Pyramidal Rays. Computer Graphics Forum. 17(1). 29–54. 20 indexed citations
14.
Gordon, Dan, Michael A. Peterson, & Roger Reynolds. (1994). Fast polygon scan conversion with medical applications. IEEE Computer Graphics and Applications. 14(6). 20–27. 7 indexed citations
15.
Gordon, Dan & Jayaram K. Udupa. (1989). Fast surface tracking in three-dimensional binary images. Computer Vision Graphics and Image Processing. 45(2). 196–214. 79 indexed citations
16.
Reynolds, Roger, et al.. (1987). A dynamic screen technique for shaded graphics display of slice-represented objects. Computer Vision Graphics and Image Processing. 38(3). 275–298. 52 indexed citations
17.
Gordon, Dan. (1986). Eliminating the flag in threaded binary search trees. Information Processing Letters. 23(4). 209–214. 1 indexed citations
18.
Gordon, Dan & Roger Reynolds. (1985). Image space shading of 3-dimensional objects. Computer Vision Graphics and Image Processing. 29(3). 361–376. 91 indexed citations
19.
Gordon, Dan & Eliahu Shamir. (1983). Computation of recursive functionals using minimal initial segments. Theoretical Computer Science. 23(3). 305–315. 1 indexed citations
20.
Gordon, Dan. (1980). Minimal determining sets of locally finitely-determined functionals. Discrete Mathematics. 29(2). 175–190. 1 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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