H. Späth

42 papers and 794 indexed citations i.

About

H. Späth is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, H. Späth has authored 42 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Numerical Analysis. Recurrent topics in H. Späth’s work include Advanced Numerical Analysis Techniques (11 papers), Advanced Measurement and Metrology Techniques (6 papers) and Image and Object Detection Techniques (5 papers). H. Späth is often cited by papers focused on Advanced Numerical Analysis Techniques (11 papers), Advanced Measurement and Metrology Techniques (6 papers) and Image and Object Detection Techniques (5 papers). H. Späth collaborates with scholars based in Germany and Croatia. H. Späth's co-authors include Fionn Murtagh, Bernhard Flury, B. S. Everitt, Rudolf Scitovski, Dragan Jukić and G. A. Watson and has published in prestigious journals such as Biometrics, European Journal of Operational Research and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of H. Späth i

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.

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).

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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