Thomas Sauerwald

2.0k citations
94 papers · 1.0k · h-index 19

Impact in

Papers in

Thomas Sauerwald

91 papers receiving 1.0k citations

Peers

Thomas Sauerwald
Comparison fields: 5 of 70
  • Computer Networks and Communications 671
  • Statistical and Nonlinear Physics 325
  • Mathematical Physics 138
  • Statistics and Probability 102
  • Computational Theory and Mathematics 166
Replace Robert Elsässer⋆ with:
Robert Elsässer⋆ Germany
Petra Berenbrink Canada
Κωνσταντίνος Παναγιώτου Germany
Gerard Hooghiemstra Netherlands
Richard Peng United States
Amin Coja‐Oghlan Germany
Michal Koucký Czechia
Linda Pagli Italy
J. Michael Steele United States
Matthias Rühl United States
Thomas Sauerwald relative to Robert Elsässer⋆ Germany Robert Elsässer⋆'s profile →
Citations per field
00.5×3.4×
Robert Elsässer⋆ · 1×
Citations per year

Countries citing papers authored by Thomas Sauerwald

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sauerwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Sauerwald, 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 Thomas Sauerwald Line = papers co-authored together Thomas Sauerwald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201149
2 200942
3 201739
4 200837
5 200835
6 201233
7 200833
8 201232
9 201032
10 200829
11 201228
12
The power of memory in randomized broadcasting
200827
13 200927
14 200726
15 200924
16 201123
17 201223
18 201219
19
Efficient Broadcast on Random Geometric Graphs
201018
20 201318

About Thomas Sauerwald

Thomas Sauerwald is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Artificial Intelligence and Mathematical Physics, having authored 94 papers that have together received 1.0k indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (26 papers), Optimization and Search Problems (24 papers), Distributed systems and fault tolerance (23 papers), Complexity and Algorithms in Graphs (22 papers), Complex Network Analysis Techniques (20 papers), Stochastic processes and statistical mechanics (18 papers), Markov Chains and Monte Carlo Methods (13 papers) and Advanced Graph Theory Research (12 papers). The work is most often cited by research in Computer Networks and Communications (671 citations), Statistical and Nonlinear Physics (325 citations), Mathematical Physics (138 citations), Statistics and Probability (102 citations) and Computational Theory and Mathematics (166 citations). Thomas Sauerwald has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Robert Elsässer⋆, Tobias Friedrich, Alexandre Stauffer, Benjamin Doerr, George Giakkoupis, Petra Berenbrink, Henning Meyerhenke, He Sun, Burkhard Monien and Κωνσταντίνος Παναγιώτου. Their work appears in journals such as Algorithmica, ACM Transactions on Algorithms, Distributed Computing, Theoretical Computer Science and Discrete Applied Mathematics.

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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