Hans Riedwyl

2.2k total citations
52 papers, 1.4k citations indexed

About

Hans Riedwyl is a scholar working on Statistics and Probability, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hans Riedwyl has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 4 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hans Riedwyl's work include Advanced Statistical Methods and Models (10 papers), Mitochondrial Function and Pathology (3 papers) and Statistical Methods and Inference (3 papers). Hans Riedwyl is often cited by papers focused on Advanced Statistical Methods and Models (10 papers), Mitochondrial Function and Pathology (3 papers) and Statistical Methods and Inference (3 papers). Hans Riedwyl collaborates with scholars based in Switzerland, United States and Germany. Hans Riedwyl's co-authors include Bernhard Flury, Bernhard K. Flury, Douglas M. Hawkins, P Lundsgaard-Hansen, Carl Meyer, H. Cottier, Ulrich Schreiber, F Reubi, Baharak Babouee Flury and Norbert Henze and has published in prestigious journals such as Journal of the American Statistical Association, Blood and Technometrics.

In The Last Decade

Hans Riedwyl

48 papers receiving 1.3k citations

Peers

Hans Riedwyl
Comparison fields: 5 of 195
  • Statistics and Probability 297
  • Artificial Intelligence 161
  • Cardiology and Cardiovascular Medicine 154
  • Molecular Biology 136
  • Surgery 90
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Citations per field, relative to Hans Riedwyl
Hans Riedwyl · 1×
Citations per year, relative to Hans Riedwyl
Hans Riedwyl · 1×

Countries citing papers authored by Hans Riedwyl

Since Specialization
Citations

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

Fields of papers citing papers by Hans Riedwyl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Riedwyl

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 1
3 11
4
Analysis of Variance, Design and Regression - Applied statistical methods - R. Christensen.
7
5 1
6 9
7 2
8 305
9 2
10 16
11 60
12 11
13 21
14 30
15 58
16 1
17 15
18
Myocardial distribution patterns of glycolytic enzymes in untreated and beta-blockaded hemorrhagic shock.
1
19
[Liver function and serum protein fractions following abdominal surgery].
2
20 24

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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