H. Späth
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
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- Image and Object Detection Techniques
- Face and Expression Recognition
Papers in
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- Advanced Optimization Algorithms Research 5
- Iterative Methods for Nonlinear Equations 3
H. Späth
43 papers receiving 809 citations
Peers
Comparison fields: 5 of 140
- Numerical Analysis 72
- Computer Vision and Pattern Recognition 225
- Statistics and Probability 88
- Computational Mechanics 132
- Artificial Intelligence 196
Countries citing papers authored by H. Späth
This map shows the geographic impact of H. Späth'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 H. Späth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Späth more than expected).
Fields of papers citing papers by H. Späth
This network shows the impact of papers produced by H. Späth. 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 H. Späth. The network helps show where H. Späth may publish in the future.
Co-authorship network
The 6 scholars most cited alongside H. Späth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Data fitting with a set of two concentric spheres | 2006 | 3 |
| 3 | Fitting affine and orthogonal transformations between two sets of points | 2004 | 16 |
| 4 | Identifying spatial point sets | 2003 | 8 |
| 5 | Least squares fitting with rotated paraboloids | 2001 | 9 |
| 6 | Minisum location in space with restriction to curves and surfaces | 2001 | 1 |
| 7 | On a sequential linear programming approach to finding the smallest circumscribed, largest inscribed, and minimum zone circle or sphere | 2001 | 4 |
| 8 | Least squares fitting of spheres and ellipsoids using not orthogonal distances | 2001 | 5 |
| 9 | Least squares fitting of conic sections with type identification by NURBS of degree two | 1999 | 2 |
| 10 | 1999 | 14 | |
| 11 | Least-squares fitting of parametric curves with a linear function of several variables as argument | 1998 | 1 |
| 12 | 1988 | 2 | |
| 13 | 1986 | 1 | |
| 14 | 1984 | 2 | |
| 15 | 1977 | 1 | |
| 16 | 1977 | 18 | |
| 17 | 1973 | 4 | |
| 18 | 1971 | 1 | |
| 19 | 1968 | 9 | |
| 20 | 1967 | 14 |
About H. Späth
H. Späth is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design, Applied Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (11 papers), Advanced Measurement and Metrology Techniques (6 papers), Statistical and numerical algorithms (5 papers), Image and Object Detection Techniques (5 papers), Advanced Optimization Algorithms Research (5 papers), Iterative Methods for Nonlinear Equations (3 papers), Optimization and Variational Analysis (2 papers) and Optimization and Packing Problems (2 papers). The work is most often cited by research in Numerical Analysis (72 citations), Computer Vision and Pattern Recognition (225 citations), Statistics and Probability (88 citations), Computational Mechanics (132 citations) and Artificial Intelligence (196 citations). H. Späth has collaborated with scholars based in Germany and Croatia. Frequent co-authors include Fionn Murtagh, Bernhard Flury, B. S. Everitt, Dragan Jukić, Rudolf Scitovski and G. A. Watson. Their work appears in journals such as Computing, Communications of the ACM, Mathematical Methods of Operations Research, OR Spectrum and Journal of Optimization Theory and Applications.
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.