Brian Proulx

13 total papers · 408 total citations
9 papers, 299 citations indexed

About

Brian Proulx is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Brian Proulx has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Electrical and Electronic Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Brian Proulx's work include Advanced MIMO Systems Optimization (6 papers), Cooperative Communication and Network Coding (5 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). Brian Proulx is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Cooperative Communication and Network Coding (5 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). Brian Proulx collaborates with scholars based in United States. Brian Proulx's co-authors include Junshan Zhang, Xu Chen, Xiaowen Gong, Aradhana Narula‐Tam and Thomas Goff and has published in prestigious journals such as IEEE/ACM Transactions on Networking.

In The Last Decade

Brian Proulx

9 papers receiving 298 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian Proulx 255 181 29 20 19 9 299
Walid Saad 237 0.9× 190 1.0× 45 1.6× 15 0.8× 8 0.4× 10 315
Jihwang Yeo 318 1.2× 156 0.9× 50 1.7× 5 0.3× 28 1.5× 16 353
Yinying Yang 308 1.2× 134 0.7× 10 0.3× 15 0.8× 6 0.3× 9 327
Mikhail Afanasyev 300 1.2× 184 1.0× 28 1.0× 5 0.3× 23 1.2× 13 362
Jouni Karvo 337 1.3× 84 0.5× 16 0.6× 7 0.3× 71 3.7× 14 365
Ionut Trestian 222 0.9× 78 0.4× 104 3.6× 21 1.1× 68 3.6× 10 296
Úrsula González-Nicolás 126 0.5× 140 0.8× 198 6.8× 12 0.6× 8 0.4× 8 296
Ismael Gómez-Miguélez 202 0.8× 204 1.1× 36 1.2× 2 0.1× 6 0.3× 9 324
Morley Mao 294 1.2× 59 0.3× 79 2.7× 11 0.6× 3 0.2× 12 326
Soojin Lee 247 1.0× 36 0.2× 42 1.4× 20 1.0× 3 0.2× 9 288

Countries citing papers authored by Brian Proulx

Since Specialization
Citations

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

Fields of papers citing papers by Brian Proulx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Proulx

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Proulx. A scholar is included among the top collaborators of Brian Proulx 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 Proulx. Brian Proulx is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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