Brian Eriksson
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Paul BarfordRobert D. NowakJoel SommersGautam DasarathyRamakrishnan DurairajanVaneet AggarwalWenlin WangYifan Sun
- Topics
- Network Traffic and Congestion Control (16 papers)Internet Traffic Analysis and Secure E-voting (14 papers)Complex Network Analysis Techniques (7 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Biomedical EngineeringJournal of Machine Learning Research
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Brian Eriksson
36 papers receiving 613 citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 308
- Artificial Intelligence 237
- Computer Vision and Pattern Recognition 97
- Electrical and Electronic Engineering 76
- Statistical and Nonlinear Physics 63
Countries citing papers authored by Brian Eriksson
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
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-authorship network of co-authors of Brian Eriksson
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Eriksson. A scholar is included among the top collaborators of Brian Eriksson 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 Brian Eriksson. Brian Eriksson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 82 | |
| 2 | 30 | |
| 3 | 4 | |
| 4 | Matroid bandits: fast combinatorial optimization with learning | 27 |
| 5 | 9 | |
| 6 | Sequential Bayesian Search | 2 |
| 7 | Learning to Top-K Search using Pairwise Comparisons | 24 |
| 8 | Adaptive Submodular Maximization in Bandit Setting | 20 |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 39 | |
| 12 | High-Rank Matrix Completion | 2 |
| 13 | 33 | |
| 14 | 10 | |
| 15 | 28 | |
| 16 | 19 | |
| 17 | 15 | |
| 18 | 21 | |
| 19 | 15 | |
| 20 | 1 |
About Brian Eriksson
Brian Eriksson is a scholar working on Computational Mathematics, Acoustics and Ultrasonics and Computer Networks and Communications, 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) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computational Mathematics (44 citations), Computer Networks and Communications (308 citations) and Acoustics and Ultrasonics (9 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, Vaneet Aggarwal, Wenlin Wang, Yifan Sun, Wenqi Wang and Azin Ashkan. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Biomedical Engineering and Journal of Machine Learning Research.
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.