Arno Berger

59 papers receiving 1.6k citations

Peers

Arno Berger
Comparison fields: 5 of 117
  • Computer Networks and Communications 930
  • Statistics and Probability 266
  • Signal Processing 229
  • Management Information Systems 176
  • Artificial Intelligence 447
Replace Satish Rao with:
Satish Rao United States
Devdatt Dubhashi Sweden
Patrizio Colaneri Italy
Mohsen Bayati United States
Robert J. Plemmons United States
Ayalvadi Ganesh United Kingdom
Laurent Massoulié France
A. D. Barbour Switzerland
Stéphane Gaubert France
Anthony Man–Cho So Hong Kong
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Citations per year

Countries citing papers authored by Arno Berger

Since Specialization
Citations

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

Fields of papers citing papers by Arno Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004424
2 1999151
3 1996129
4 200497
5 198994
6 199590
7 199878
8 199163
9 200062
10 201162
11 201161
12 199841
13 200437
14 201532
15 199126
16 199125
17 200822
18 200122
19 200821
20 200918

About Arno Berger

Arno Berger is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Statistics and Probability, Numerical Analysis and Management Information Systems, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Benford’s Law and Fraud Detection (17 papers), Network Traffic and Congestion Control (11 papers), Advanced Queuing Theory Analysis (9 papers), Computability, Logic, AI Algorithms (9 papers), Authorship Attribution and Profiling (8 papers), Quantum chaos and dynamical systems (8 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Mathematical Dynamics and Fractals (7 papers). The work is most often cited by research in Computer Networks and Communications (930 citations), Statistics and Probability (266 citations), Signal Processing (229 citations), Management Information Systems (176 citations) and Artificial Intelligence (447 citations). Arno Berger has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Jaeyeon Jung, Theodore P. Hill, Hari Balakrishnan, Vern Paxson, Ward Whitt, Fred C. Schweppe, Amy R. Reibman, Stefan Siegmund, Ivi Antoniadou and Takis Panagiotopoulos. Their work appears in journals such as Journal of Theoretical Probability, IEEE/ACM Transactions on Networking, The Journal of Difference Equations and Applications, Journal of Dynamics and Differential Equations and IEEE Transactions on Automatic Control.

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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