Peter Gritzmann

2.6k total citations
92 papers, 1.2k citations indexed

About

Peter Gritzmann is a scholar working on Computer Graphics and Computer-Aided Design, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Gritzmann has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Graphics and Computer-Aided Design, 23 papers in Applied Mathematics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Gritzmann's work include Computational Geometry and Mesh Generation (30 papers), Point processes and geometric inequalities (22 papers) and Digital Image Processing Techniques (18 papers). Peter Gritzmann is often cited by papers focused on Computational Geometry and Mesh Generation (30 papers), Point processes and geometric inequalities (22 papers) and Digital Image Processing Techniques (18 papers). Peter Gritzmann collaborates with scholars based in Germany, United States and Netherlands. Peter Gritzmann's co-authors include Victor Klee, Bernd Sturmfels, Richard J. Gardner, Andreas Brieden, Sven de Vries, U. Betke, Martin Dyer, J. M. Wills, Hans L. Bodlaender and Jan Van Leeuwen and has published in prestigious journals such as Applied Physics Letters, European Journal of Operational Research and Computers in Human Behavior.

In The Last Decade

Peter Gritzmann

89 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Gritzmann Germany 19 389 342 323 248 176 92 1.2k
James R. Munkres United States 11 135 0.3× 462 1.4× 100 0.3× 38 0.2× 297 1.7× 24 1.7k
Peter McMullen United Kingdom 29 200 0.5× 791 2.3× 554 1.7× 25 0.1× 753 4.3× 115 2.9k
John M. Danskin United States 12 242 0.6× 223 0.7× 153 0.5× 9 0.0× 101 0.6× 31 1.1k
J. E. Yukich United States 18 122 0.3× 173 0.5× 77 0.2× 23 0.1× 446 2.5× 65 1.2k
Pijush K. Ghosh India 19 218 0.6× 34 0.1× 156 0.5× 46 0.2× 25 0.1× 65 1.1k
John L. Gustafson United States 18 194 0.5× 479 1.4× 61 0.2× 8 0.0× 78 0.4× 79 2.2k
Chii-Ruey Hwang Taiwan 15 108 0.3× 139 0.4× 22 0.1× 40 0.2× 63 0.4× 39 1.3k
Fei Yao China 22 521 1.3× 152 0.4× 430 1.3× 14 0.1× 26 0.1× 60 2.6k
Ravindran Kannan United States 14 131 0.3× 336 1.0× 46 0.1× 11 0.0× 24 0.1× 28 848
Harold R. Parks United States 12 71 0.2× 294 0.9× 50 0.2× 8 0.0× 431 2.4× 37 1.3k

Countries citing papers authored by Peter Gritzmann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gritzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Gritzmann

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gritzmann. A scholar is included among the top collaborators of Peter Gritzmann 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 Peter Gritzmann. Peter Gritzmann 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.
Gritzmann, Peter, et al.. (2023). Dynamic grain models via fast heuristics for diagram representations. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 103(10). 948–968. 1 indexed citations
2.
Brieden, Andreas, et al.. (2017). Electoral District Design via Constrained Clustering.. arXiv (Cornell University). 1 indexed citations
3.
Chen, Bo, Peter Gritzmann, & Silvano Martello. (2016). Combinatorial optimization: theory, computation, and applications. Discrete Applied Mathematics. 217. 1–2. 3 indexed citations
4.
Riepe, Matthias W., Peter Gritzmann, & Andreas Brieden. (2016). Preferences of psychiatric practitioners for core symptoms of major depressive disorder: a hidden conjoint analysis. International Journal of Methods in Psychiatric Research. 26(1). 6 indexed citations
5.
Zhu, Jiajian, Jinlong Gao, Andreas Ehn, et al.. (2015). Measurements of 3D slip velocities and plasma column lengths of a gliding arc discharge. Applied Physics Letters. 106(4). 60 indexed citations
6.
Moseev, D., et al.. (2013). 3D particle tracking velocimetry using dynamic discrete tomography for plasma physics applications. Bulletin of the American Physical Society. 58(16). 1 indexed citations
7.
Golle, Roland, et al.. (2012). Automated Driving by Standardizing and Scaling the Manufacturing Strategy. Procedia CIRP. 3. 138–143. 7 indexed citations
8.
Gritzmann, Peter, et al.. (2008). On the index of Siegel grids and its application to the tomography of quasicrystals. European Journal of Combinatorics. 29(8). 1894–1909. 4 indexed citations
9.
Gritzmann, Peter, et al.. (2007). Alla ricerca della via più breve: Un'avventura matematica. Springer eBooks. 1 indexed citations
10.
Brieden, Andreas, Peter Gritzmann, & Victor Klee. (2000). Oracle-polynomial-time approximation of largest simplices in convex bodies. Discrete Mathematics. 221(1-3). 79–92. 5 indexed citations
11.
Gardner, Richard J., et al.. (2000). On the computational complexity of determining polyatomic structures by X-rays. Theoretical Computer Science. 233(1-2). 91–106. 14 indexed citations
12.
Gardner, Richard J., et al.. (1999). On the computational complexity of reconstructing lattice sets from their X-rays. Discrete Mathematics. 202(1-3). 45–71. 77 indexed citations
13.
Gritzmann, Peter & Victor Klee. (1998). Separation by hyperplanes in finite-dimensional vector spaces over Archimedean ordered fields.. 5(2). 279–301. 2 indexed citations
14.
Gritzmann, Peter. (1997). Recent advances in optimization : proceedings of the 8th French-German Conference on Optimization, Trier, July 21-26, 1996. Springer eBooks. 3 indexed citations
15.
Gritzmann, Peter, Victor Klee, & Bit-Shun Tam. (1995). Cross-positive matrices revisited. Linear Algebra and its Applications. 223-224. 285–305. 10 indexed citations
16.
Gritzmann, Peter & Victor Klee. (1994). On the complexity of some basic problems in computational convexity: I. Containment problems. Discrete Mathematics. 136(1-3). 129–174. 49 indexed citations
17.
Gritzmann, Peter & Bernd Sturmfels. (1993). Minkowski Addition of Polytopes: Computational Complexity and Applications to Gröbner Bases. SIAM Journal on Discrete Mathematics. 6(2). 246–269. 108 indexed citations
18.
Sturmfels, Bernd & Peter Gritzmann. (1991). Applied Geometry and Discrete Mathematics: The Victor Klee Festschrift. 52 indexed citations
19.
Gritzmann, Peter. (1988). A characterization of all loglinear inequalities for three quermassintegrals of convex bodies. Proceedings of the American Mathematical Society. 104(2). 563–570. 3 indexed citations
20.
Gritzmann, Peter, et al.. (1984). NET system integration. 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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