Brian M. Kurkoski

65 papers receiving 809 citations

Peers

Brian M. Kurkoski
Comparison fields: 5 of 32
  • Computer Networks and Communications 620
  • Electrical and Electronic Engineering 519
  • Computer Vision and Pattern Recognition 179
  • Artificial Intelligence 141
  • Computational Theory and Mathematics 116
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Citations per field
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Citations per year

Countries citing papers authored by Brian M. Kurkoski

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Kurkoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian M. Kurkoski

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 0
4 1
5 20
6 1
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8 13
9
Low-complexity quantization of discrete memoryless channels
30
10 0
11 5
12 2
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Low complexity construction of low density lattice codes based on array codes
3
14
Lattice-based WOM codebooks that allow two writes
9
15
High Payload Audio Watermarking: toward Channel Characterization of MP3 Compression.
21
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Quantization of Binary-Input Discrete Memoryless Channels, with Applications to LDPC Decoding
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17 1
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Audio Watermarking Based on Wavelet Transform and Quantization Index Modulation
3
19 1
20
A Decoding Algorithm for LDPC Codes using Threshold Control for the Burst Error Channel
0

About Brian M. Kurkoski

Brian M. Kurkoski is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 75 papers that have together received 857 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (41 papers), Advanced Wireless Communication Techniques (31 papers) and Cooperative Communication and Network Coding (29 papers). The work is most often cited by research in Computer Networks and Communications (620 citations), Electrical and Electronic Engineering (519 citations) and Computer Vision and Pattern Recognition (179 citations). Brian M. Kurkoski has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Hideki Yagi, Paul H. Siegel, J.K. Wolf, Justin Dauwels, Mariko Nakano-Miyatake, Lei Liu, Héctor Pérez-Meana, Manuel Cedillo-Hernández, Kenta Kobayashi and Hyun Kang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

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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