Rudolf Lohner

458 total citations
10 papers, 259 citations indexed

About

Rudolf Lohner is a scholar working on Computational Theory and Mathematics, Signal Processing and Mathematical Physics. According to data from OpenAlex, Rudolf Lohner has authored 10 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Signal Processing and 2 papers in Mathematical Physics. Recurrent topics in Rudolf Lohner's work include Digital Filter Design and Implementation (3 papers), Numerical Methods and Algorithms (3 papers) and Machine Learning in Bioinformatics (1 paper). Rudolf Lohner is often cited by papers focused on Digital Filter Design and Implementation (3 papers), Numerical Methods and Algorithms (3 papers) and Machine Learning in Bioinformatics (1 paper). Rudolf Lohner collaborates with scholars based in Germany, Netherlands and United States. Rudolf Lohner's co-authors include E. Eric Adams, W.F. Ames, Ulrich Kulisch, Jürgen Wolff von Gudenberg, G. Alefeld, Markus Göker, Frank Grosveld, Tobias Knoch and Vincent Heuveline and has published in prestigious journals such as International Journal of Non-Linear Mechanics, European Biophysics Journal and Computing.

In The Last Decade

Rudolf Lohner

10 papers receiving 235 citations

Peers

Rudolf Lohner
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 112
  • Computational Theory and Mathematics 102
  • Numerical Analysis 71
  • Control and Systems Engineering 40
  • Mathematical Physics 37
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Citations per field, relative to Rudolf Lohner
Rudolf Lohner · 1×
Citations per year, relative to Rudolf Lohner
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Countries citing papers authored by Rudolf Lohner

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Lohner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf Lohner

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Lohner. A scholar is included among the top collaborators of Rudolf Lohner 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 Rudolf Lohner. Rudolf Lohner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 3
2 16
3
SCAN 2000: GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics Interval 2000: International Conference on Interval Methods in Science and Engineering Karlsruhe, Germany, September 18-22, 2000.
5
4 35
5 5
6
Einschliessung der Lösung gewöhnlicher Anfangs- und Randwertaufgaben und Anwendungen
42
7 8
8 7
9 33
10 105

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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