Brian Eriksson

1.3k citations
37 papers · 657 · h-index 18

Impact in

Papers in

Brian Eriksson

36 papers receiving 613 citations

Peers

Brian Eriksson
Comparison fields: 5 of 90
  • Computational Mathematics 44
  • Computer Networks and Communications 308
  • Acoustics and Ultrasonics 9
  • Artificial Intelligence 237
  • Statistical and Nonlinear Physics 63
Replace Dimitrios Rafailidis with:
Dimitrios Rafailidis Greece
H. Vicky Zhao China
Bokai Cao United States
Vitaly Feldman United States
Yifan Sun United States
Jiezhong Qiu China
Salman Avestimehr United States
Chenbo Fu China
Abhimanu Kumar United States
Zengfeng Huang China
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Citations per field
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Dimitrios Rafailidis · 1×
Citations per year

Countries citing papers authored by Brian Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Brian Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201339
3 201639
4 201133
5 201333
6 201332
7 201630
8 201128
9 201128
10
Matroid bandits: fast combinatorial optimization with learning
201427
11 201025
12
Learning to Top-K Search using Pairwise Comparisons
201324
13 201223
14 200721
15 201121
16 200821
17
Adaptive Submodular Maximization in Bandit Setting
201320
18 201019
19 200715
20 200815

About Brian Eriksson

Brian Eriksson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Signal Processing and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 657 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (16 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Complex Network Analysis Techniques (7 papers), Network Security and Intrusion Detection (7 papers), Peer-to-Peer Network Technologies (5 papers), Data Management and Algorithms (4 papers), Advanced Bandit Algorithms Research (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Computational Mathematics (44 citations), Computer Networks and Communications (308 citations), Acoustics and Ultrasonics (9 citations), Artificial Intelligence (237 citations) and Statistical and Nonlinear Physics (63 citations). Brian Eriksson has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Paul Barford, Robert D. Nowak, Joel Sommers, Gautam Dasarathy, Ramakrishnan Durairajan, Yifan Sun, Wenqi Wang, Vaneet Aggarwal, Wenlin Wang and Azin Ashkan. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM SIGMETRICS Performance Evaluation Review, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Biomedical Engineering and International Journal of Neural Systems.

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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