Brian Rider

33 papers receiving 681 citations

Peers

Brian Rider
Comparison fields: 5 of 53
  • Discrete Mathematics and Combinatorics 147
  • Statistics and Probability 359
  • Mathematical Physics 305
  • Computer Networks and Communications 196
  • Geometry and Topology 51
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Alexander E. Holroyd United States
Guangming Pan Singapore
Ravi Montenegro United States
Walid Hachem France
Dan Romik United States
Gady Kozma Israel
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David A. Klarner United States
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Countries citing papers authored by Brian Rider

Since Specialization
Citations

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

Fields of papers citing papers by Brian Rider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Brian Rider, 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 Rider Line = papers co-authored together Brian Rider links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 2011101
3 200356
4 200254
5 201049
6
EXTREMAL LAWS FOR THE REAL GINIBRE ENSEMBLE
201627
7 200627
8 200926
9 200420
10 200519
11 200419
12
Quantization Bounds on Grassmann Manifolds and Applications to MIMO Systems
200518
13 200815
14 200915
15 200212
16 200412
17 201510
18 200710
19 201110
20 20117

About Brian Rider

Brian Rider is a scholar working on Mathematical Physics, Statistics and Probability, Computer Networks and Communications, Electrical and Electronic Engineering and Discrete Mathematics and Combinatorics, having authored 33 papers that have together received 703 indexed citations. Recurring topics across this work include Random Matrices and Applications (15 papers), Advanced MIMO Systems Optimization (9 papers), Cooperative Communication and Network Coding (9 papers), Advanced Combinatorial Mathematics (8 papers), Stochastic processes and statistical mechanics (6 papers), Advanced Wireless Communication Techniques (5 papers), Advanced Algebra and Geometry (5 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (147 citations), Statistics and Probability (359 citations), Mathematical Physics (305 citations), Computer Networks and Communications (196 citations) and Geometry and Topology (51 citations). Brian Rider has collaborated with scholars based in United States, Costa Rica and Hong Kong. Frequent co-authors include Youjian Liu, José A. Ramı́rez, Wei Dai, Bálint Virág, Wei Dai, Michel Ledoux, Jack W. Silverstein, Martin I. Reiman, Avi Mandelbaum and Alexander Stolyar. Their work appears in journals such as IEEE Transactions on Information Theory, Probability Theory and Related Fields, Communications on Pure and Applied Mathematics, Electronic Journal of Probability and Journal of Statistical Physics.

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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