Tadashi Wadayama

1.3k total citations
101 papers, 725 citations indexed

About

Tadashi Wadayama is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tadashi Wadayama has authored 101 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Networks and Communications, 59 papers in Electrical and Electronic Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Tadashi Wadayama's work include Error Correcting Code Techniques (50 papers), Advanced Wireless Communication Techniques (31 papers) and Cooperative Communication and Network Coding (20 papers). Tadashi Wadayama is often cited by papers focused on Error Correcting Code Techniques (50 papers), Advanced Wireless Communication Techniques (31 papers) and Cooperative Communication and Network Coding (20 papers). Tadashi Wadayama collaborates with scholars based in Japan, China and Israel. Tadashi Wadayama's co-authors include Satoshi Takabe, Daisuke Ito, Ichi Takumi, K. Nakamura, Kazunori Hayashi, Tomohiko Uyematsu, Jun Muramatsu, Masayuki Imanishi, A. J. Han Vinck and Manabu Hagiwara and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Tadashi Wadayama

91 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadashi Wadayama Japan 13 467 382 189 88 79 101 725
Yuval Kochman United States 13 535 1.1× 453 1.2× 133 0.7× 67 0.8× 109 1.4× 72 726
Sameer Pawar United States 13 443 0.9× 524 1.4× 190 1.0× 80 0.9× 51 0.6× 32 737
Jon Hamkins United States 17 713 1.5× 363 1.0× 156 0.8× 31 0.4× 64 0.8× 80 930
Po‐Ning Chen Taiwan 16 408 0.9× 509 1.3× 261 1.4× 33 0.4× 47 0.6× 97 721
Hideichi Sasaoka Japan 12 616 1.3× 331 0.9× 157 0.8× 56 0.6× 273 3.5× 91 720
Daniel Roviras France 21 977 2.1× 521 1.4× 102 0.5× 59 0.7× 160 2.0× 114 1.4k
Mayank Bakshi Hong Kong 13 444 1.0× 236 0.6× 291 1.5× 31 0.4× 105 1.3× 42 595
Tor A. Ramstad Norway 14 448 1.0× 284 0.7× 79 0.4× 56 0.6× 206 2.6× 63 676
Alba Pagés-Zamora Spain 15 417 0.9× 429 1.1× 159 0.8× 73 0.8× 36 0.5× 61 707
J. K. Omura United States 14 652 1.4× 532 1.4× 282 1.5× 58 0.7× 127 1.6× 50 911

Countries citing papers authored by Tadashi Wadayama

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Wadayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Wadayama

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Wadayama. A scholar is included among the top collaborators of Tadashi Wadayama 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 Tadashi Wadayama. Tadashi Wadayama 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.
Wadayama, Tadashi, et al.. (2024). Continuous-Time Sparse Signal Recovery. IEEE Access. 12. 118141–118153. 2 indexed citations
2.
Wadayama, Tadashi, et al.. (2023). PSOR-Jacobi Algorithm for Accelerated MMSE MIMO Detection. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E107.A(3). 486–492. 1 indexed citations
3.
Kumagai, Masaya, et al.. (2023). Deep Unfolding-based Distributed MIMO Detection. 1 indexed citations
4.
Imanishi, Masayuki, Satoshi Takabe, & Tadashi Wadayama. (2018). Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels.. arXiv (Cornell University). 4 indexed citations
5.
Takabe, Satoshi, Takafumi Nakano, & Tadashi Wadayama. (2017). Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree.. arXiv (Cornell University). 3 indexed citations
6.
Wadayama, Tadashi, et al.. (2012). Probabilistic analysis of the network reliability problem on a random graph ensemble. International Symposium on Information Theory and its Applications. 327–331. 2 indexed citations
7.
Wadayama, Tadashi, et al.. (2012). A coding theoretic approach for evaluating accumulate distribution on minimum cut capacity of weighted random graphs. International Symposium on Information Theory and its Applications. 332–336. 1 indexed citations
8.
Wadayama, Tadashi, et al.. (2011). Probabilistic Analysis on Network Reliability Problem. arXiv (Cornell University). 37(1). 55–7. 1 indexed citations
9.
Wadayama, Tadashi & Manabu Hagiwara. (2011). LP Decodable Permutation Codes based on Linearly Constrained Permutation Matrices (Frontiers in mathematical science through collaborations with other disciplines). Kyoto University Research Information Repository (Kyoto University). 1752. 27–30. 1 indexed citations
10.
Wadayama, Tadashi. (2008). Interior point decoding for linear vector channels. Journal of Physics Conference Series. 95. 12009–12009. 3 indexed citations
11.
Wadayama, Tadashi. (2004). An Authentication Scheme Based on an LDPC Matrix. 27(1). 79–82. 1 indexed citations
12.
Wadayama, Tadashi. (2003). An Iterative decoding algorithm for channels with additive linear dynamical noise. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(10). 2452–2460. 2 indexed citations
13.
Wadayama, Tadashi. (2003). A Lossy Compression Algorithm using an LDPC Code for Binary iid Sources. 103(308). 53–56.
14.
Wadayama, Tadashi. (2002). An Alogrithm fpr Augmenting a Binary Linear Code up to Gilbert Bound and New Codes Obtained by the Algorithm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(10). 2196–2202.
15.
Wadayama, Tadashi. (2002). An Extension of Gallager Ensemble of Low Density Parity Check Codes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(5). 1161–1171. 3 indexed citations
16.
Wadayama, Tadashi. (2001). A coded modulation scheme based on low density parity check codes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(10). 2523–2527. 15 indexed citations
17.
Wadayama, Tadashi & A. J. Han Vinck. (2001). A Multilevel Construction of Permutation Codes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(10). 2518–2522. 13 indexed citations
18.
Wadayama, Tadashi. (2001). Introduction to Low Density Parity Check Codes and the Sum-Product Algorithm. 101(498). 39–46. 4 indexed citations
19.
Wadayama, Tadashi, Koichiro Wakasugi, & Masao Kasahara. (1999). An Upper Bound on Frame Error Rate for Generalized Concatenated Convolutional Codes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(6). 1126–1130. 1 indexed citations
20.
Wadayama, Tadashi, Koichiro Wakasugi, & Masao Kasahara. (1997). An Upper Bound on Bit Error Rate for Concatenated Convolutional Code. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(11). 2123–2129. 1 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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