Walter Nef

19 papers receiving 188 citations

Peers

Walter Nef
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 48
  • Theoretical Computer Science 9
  • Computer Vision and Pattern Recognition 61
  • Bioengineering 12
  • Computational Theory and Mathematics 31
Replace Vitaliy Kurlin with:
Vitaliy Kurlin United Kingdom
Frank Pfeiffer Germany
Mathieu Meyer France
Rodrígo Paredes Chile
Kim D. Summerhays United States
Jacek Zienkiewicz Poland
N.G. de Bruijn Netherlands
Li‐Ta Lo United States
P. A. B. Pleasants Australia
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Countries citing papers authored by Walter Nef

Since Specialization
Citations

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

Fields of papers citing papers by Walter Nef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Walter Nef, 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 Walter Nef Line = papers co-authored together Walter Nef links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199657
2 198436
3
Beiträge zur Theorie der Polyeder : mit Anwendungen in der Computergraphik
197817
4 198216
5 199915
6
Linear Algebra
196713
7 198312
8 19647
9 19856
10 19545
11 19545
12 19545
13 19565
14 19805
15 19665
16 19814
17 19772
18 19901
19 19711
20 19560

About Walter Nef

Walter Nef is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Geometry and Topology, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 24 papers that have together received 217 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (5 papers), Digital Image Processing Techniques (4 papers), Physics and Engineering Research Articles (4 papers), Advanced Numerical Analysis Techniques (4 papers), Mathematics and Applications (4 papers), History and Theory of Mathematics (3 papers), Point processes and geometric inequalities (2 papers) and Mathematical functions and polynomials (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Theoretical Computer Science (9 citations), Computer Vision and Pattern Recognition (61 citations), Bioengineering (12 citations) and Computational Theory and Mathematics (31 citations). Walter Nef has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hanspeter Bieri, Roger Alberto, Ulrich Abram, Markus Neuburger, Margareta Zehnder, P. August Schubiger, Alan Р. Smith, Thomas A. Kaden, A. Frey and Wynn A. Volkert. Their work appears in journals such as Computing, Mathematische Zeitschrift, Nuclear Medicine and Biology, Mathematische Nachrichten and Mathematical Methods of Operations Research.

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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