Rudolf H. Riedi

73 papers receiving 2.4k citations

Peers

Rudolf H. Riedi
Comparison fields: 5 of 103
  • Computer Networks and Communications 1.7k
  • Economics and Econometrics 545
  • Statistical and Nonlinear Physics 484
  • Electrical and Electronic Engineering 471
  • Artificial Intelligence 321
Replace Darryl Veitch with:
Darryl Veitch Australia
J.A. Bucklew United States
Kathryn Prewitt United States
Gennady Samorodnitsky United States
Stan Zachary United Kingdom
R. M. Loynes United Kingdom
Stephen M. Samuels United States
Lajos Takács United States
Pierre Priouret France
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Citations per field
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Citations per year

Countries citing papers authored by Rudolf H. Riedi

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf H. Riedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf H. Riedi

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf H. Riedi. A scholar is included among the top collaborators of Rudolf H. Riedi 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 H. Riedi. Rudolf H. Riedi 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
#WorkIndexed citations
1 43
2 1
3 21
4 12
5 1
6 89
7 11
8
Warped infinitely divisible cascades: beyond power laws
9
9 14
10 0
11
Wavelet and Multiscale Analysis of Network Traffic
11
12
A Hierarchical and Multiscale Analysis of E-Business Workloads
1
13 31
14
Connection-Level Modeling of Network Traffic
2
15 2
16 1
17 9
18 0
19 13
20 129

About Rudolf H. Riedi

Rudolf H. Riedi is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Mathematics, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (29 papers), Network Traffic and Congestion Control (22 papers) and Mobile Ad Hoc Networks (14 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Statistical and Nonlinear Physics (484 citations) and Management Information Systems (195 citations). Rudolf H. Riedi has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Richard G. Baraniuk, Vinay J. Ribeiro, Matthew S Crouse, Alireza Keshavarz‐Haddad, Shriram Sarvotham, Patrice Abry, Darryl Veitch, Patrick Flandrin, Jacques Lévy Véhel and István Scheuring. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and IEEE Transactions on Wireless Communications.

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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