Brian M. Kurkoski

1.3k total citations
75 papers, 857 citations indexed

About

Brian M. Kurkoski is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Brian M. Kurkoski has authored 75 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Networks and Communications, 48 papers in Electrical and Electronic Engineering and 18 papers in Computational Theory and Mathematics. Recurrent topics in Brian M. Kurkoski's work include Error Correcting Code Techniques (41 papers), Advanced Wireless Communication Techniques (31 papers) and Cooperative Communication and Network Coding (29 papers). Brian M. Kurkoski is often cited by papers focused on Error Correcting Code Techniques (41 papers), Advanced Wireless Communication Techniques (31 papers) and Cooperative Communication and Network Coding (29 papers). Brian M. Kurkoski collaborates with scholars based in Japan, United States and Mexico. Brian M. Kurkoski's co-authors include Hideki Yagi, Paul H. Siegel, J.K. Wolf, Justin Dauwels, Mariko Nakano-Miyatake, Lei Liu, Héctor Pérez-Meana, Manuel Cedillo-Hernández, Hyun Kang and Kenta Kobayashi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Brian M. Kurkoski

65 papers receiving 809 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian M. Kurkoski Japan 17 620 519 179 141 116 75 857
Yuval Kochman United States 13 453 0.7× 535 1.0× 109 0.6× 133 0.9× 101 0.9× 72 726
Vinod M. Prabhakaran United States 18 954 1.5× 764 1.5× 333 1.9× 306 2.2× 81 0.7× 90 1.4k
Anelia Somekh-Baruch Israel 16 406 0.7× 514 1.0× 153 0.9× 125 0.9× 97 0.8× 49 681
Himanshu Tyagi India 12 201 0.3× 276 0.5× 110 0.6× 134 1.0× 70 0.6× 64 438
Robert Morelos-Zaragoza United States 9 431 0.7× 503 1.0× 90 0.5× 240 1.7× 53 0.5× 57 706
Po‐Ning Chen Taiwan 16 509 0.8× 408 0.8× 47 0.3× 261 1.9× 54 0.5× 97 721
Aslan Tchamkerten France 12 365 0.6× 466 0.9× 55 0.3× 102 0.7× 130 1.1× 42 584
Victoria Kostina United States 14 295 0.5× 363 0.7× 76 0.4× 132 0.9× 69 0.6× 77 572
Michel Jézéquel France 9 953 1.5× 1.2k 2.2× 41 0.2× 193 1.4× 80 0.7× 40 1.2k
Y. Be'ery Israel 16 694 1.1× 825 1.6× 78 0.4× 832 5.9× 143 1.2× 58 1.2k

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
1.
Liu, Lei, et al.. (2024). Overflow-Avoiding Memory AMP. 3516–3521.
2.
Kurkoski, Brian M., et al.. (2018). Construction D Lattice Decoding and Its Application to BCH Code Lattices. 1–6. 4 indexed citations
3.
Kurkoski, Brian M., et al.. (2018). Construction D′ Lattices from Quasi-Cyclic Low-Density Parity-Check Codes. 1–5. 1 indexed citations
4.
Kurkoski, Brian M. & Hideki Yagi. (2017). Single-bit quantization of binary-input, continuous-output channels. 2088–2092. 13 indexed citations
5.
Kurkoski, Brian M., et al.. (2016). Low-complexity quantization of discrete memoryless channels. International Symposium on Information Theory and its Applications. 448–452. 30 indexed citations
6.
Kurkoski, Brian M., et al.. (2016). LDPC Decoding Mappings That Maximize Mutual Information. IEEE Journal on Selected Areas in Communications. 34(9). 2391–2401. 50 indexed citations
7.
Kurkoski, Brian M., et al.. (2016). The Three/Two Gaussian Parametric LDLC Lattice Decoding Algorithm and Its Analysis. IEEE Transactions on Communications. 64(9). 3624–3633. 5 indexed citations
8.
Kurkoski, Brian M., et al.. (2015). The three/two Gaussian parametric LDLC decoder. 172–176. 2 indexed citations
9.
Kurkoski, Brian M., et al.. (2014). Low complexity construction of low density lattice codes based on array codes. International Symposium on Information Theory and its Applications. 264–268. 3 indexed citations
10.
Kurkoski, Brian M.. (2012). Lattice-based WOM codebooks that allow two writes. International Symposium on Information Theory and its Applications. 101–105. 9 indexed citations
11.
Cedillo-Hernández, Manuel, et al.. (2012). Watermarking-based image authentication with recovery capability using halftoning technique. Signal Processing Image Communication. 28(1). 69–83. 46 indexed citations
12.
Kurkoski, Brian M. & Hideki Yagi. (2011). Quantization of Binary-Input Discrete Memoryless Channels, with Applications to LDPC Decoding. arXiv (Cornell University). 7 indexed citations
13.
Nakano-Miyatake, Mariko, et al.. (2011). High Payload Audio Watermarking: toward Channel Characterization of MP3 Compression.. J. Inf. Hiding Multim. Signal Process.. 2. 91–107. 21 indexed citations
14.
Kurkoski, Brian M., et al.. (2010). Recovering synchronization with iterative decoders: LDPC codes. 10. 490–495. 1 indexed citations
15.
Kurkoski, Brian M., et al.. (2008). Noise Thresholds for Discrete LDPC Decoding Mappings. 1–5. 42 indexed citations
16.
Kurkoski, Brian M., et al.. (2007). Audio Watermarking Based on Wavelet Transform and Quantization Index Modulation. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 182–183. 3 indexed citations
17.
Kurkoski, Brian M., Keisuke Yamaguchi, & Kazuya Kobayashi. (2006). Turbo Equalization With Single-Parity Check Codes and Unequal Error Protection Codes. IEEE Transactions on Magnetics. 42(10). 2579–2581. 1 indexed citations
18.
Kurkoski, Brian M., et al.. (2005). A Decoding Algorithm for LDPC Codes using Threshold Control for the Burst Error Channel. Information technology newsletter. 105(84). 49–52.
19.
Kurkoski, Brian M., Keisuke Yamaguchi, & K. Kobayashi. (2005). On BCJR state metric quantization for turbo equalization. 234–238. 2 indexed citations
20.
Kurkoski, Brian M., Paul H. Siegel, & J.K. Wolf. (2002). Joint message-passing decoding of LDPC codes and partial-response channels. IEEE Transactions on Information Theory. 48(6). 1410–1422. 87 indexed citations

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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