H. Späth

1.2k citations
43 papers · 883 · h-index 14

Impact in

Papers in

H. Späth

43 papers receiving 809 citations

Peers

H. Späth
Comparison fields: 5 of 140
  • Numerical Analysis 72
  • Computer Vision and Pattern Recognition 225
  • Statistics and Probability 88
  • Computational Mechanics 132
  • Artificial Intelligence 196
Replace Helmuth Späth with:
Helmuth Späth Germany
Janusz S. Kowalik United States
Dan Kalman United States
Patrick L. Odell United States
B.E. Stuckman United States
Věra Kůrková Czechia
C.D. Perttunen United States
D. Dutta Majumder India
Yves Nievergelt United States
Myron L. Stein United States
H. Späth relative to Helmuth Späth Germany Helmuth Späth's profile →
Citations per field
00.5×4.6×
Helmuth Späth · 1×
Citations per year

Countries citing papers authored by H. Späth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with H. Späth Line = papers co-authored together H. Späth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986182
2 1979150
3 196985
4 198269
5 198663
6 199645
7 197433
8 199825
9 198123
10 197718
11
Fitting affine and orthogonal transformations between two sets of points
200416
12 198516
13 199914
14 196714
15 198113
16
Least squares fitting with rotated paraboloids
20019
17 19689
18 19869
19 19859
20
Identifying spatial point sets
20038

About H. Späth

H. Späth is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Numerical Analysis, Applied Mathematics and Mechanical Engineering, 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 Packing Problems (2 papers) and Data Management and Algorithms (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.

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