Tad Matsumoto

998 total citations
106 papers, 733 citations indexed

About

Tad Matsumoto is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tad Matsumoto has authored 106 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Electrical and Electronic Engineering, 94 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Tad Matsumoto's work include Cooperative Communication and Network Coding (58 papers), Advanced Wireless Communication Techniques (50 papers) and Wireless Communication Security Techniques (39 papers). Tad Matsumoto is often cited by papers focused on Cooperative Communication and Network Coding (58 papers), Advanced Wireless Communication Techniques (50 papers) and Wireless Communication Security Techniques (39 papers). Tad Matsumoto collaborates with scholars based in Finland, Japan and China. Tad Matsumoto's co-authors include Khoirul Anwar, Xiaobo Zhou, Meng Cheng, Markku Juntti, Xin He, Kimmo Kansanen, Muhammad Reza Kahar Aziz, Jiguang He, Antti Tölli and Juha Karjalainen and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Tad Matsumoto

99 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tad Matsumoto Finland 14 698 617 60 36 21 106 733
Ian Marsland Canada 10 489 0.7× 403 0.7× 44 0.7× 45 1.3× 9 0.4× 57 525
Sung Hoon Lim South Korea 15 710 1.0× 662 1.1× 29 0.5× 73 2.0× 12 0.6× 50 826
Stefan Krone Germany 14 739 1.1× 363 0.6× 71 1.2× 52 1.4× 16 0.8× 27 785
Dmitri Truhachev Canada 15 589 0.8× 569 0.9× 91 1.5× 19 0.5× 25 1.2× 77 674
Lihai Liu Hong Kong 9 1.1k 1.6× 876 1.4× 90 1.5× 61 1.7× 27 1.3× 21 1.1k
Michael P. Fitz United States 13 570 0.8× 438 0.7× 59 1.0× 69 1.9× 7 0.3× 69 601
Dimitris Toumpakaris United States 16 655 0.9× 460 0.7× 32 0.5× 36 1.0× 6 0.3× 49 741
Dian‐Wu Yue China 14 635 0.9× 351 0.6× 97 1.6× 124 3.4× 19 0.9× 89 693
Zhengdao Wang United States 11 504 0.7× 381 0.6× 50 0.8× 65 1.8× 10 0.5× 22 586
A. van Zelst Netherlands 9 759 1.1× 608 1.0× 36 0.6× 56 1.6× 6 0.3× 10 787

Countries citing papers authored by Tad Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Tad Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tad Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tad Matsumoto. A scholar is included among the top collaborators of Tad Matsumoto 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 Tad Matsumoto. Tad Matsumoto 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.
Matsumoto, Tad, et al.. (2024). Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing. SPIRE - Sciences Po Institutional REpository. 2915–2920.
2.
Aziz, Muhammad Reza Kahar, Khoirul Anwar, & Tad Matsumoto. (2016). DRSS-based Factor Graph Geolocation Technique for Position Detection of Unknown Radio Emitter. European Wireless Conference. 1–6. 5 indexed citations
3.
Hussain, Iqbal, Markku Juntti, & Tad Matsumoto. (2016). Improved Frameless ALOHA for Wireless Networks. European Wireless Conference. 1–6. 1 indexed citations
4.
Zhou, Xiaobo, et al.. (2016). Power Allocation for Orthogonal Multiple Access Relay Channel Allowing Intra-link Errors. European Wireless Conference. 1–6. 1 indexed citations
5.
Juntti, Markku, et al.. (2016). Joint optimization of power allocation and relay position for lossy-forwarding relaying. 1–6. 4 indexed citations
6.
Aziz, Muhammad Reza Kahar, Khoirul Anwar, & Tad Matsumoto. (2016). A new DOA-based factor graph geolocation technique for detection of unknown radio wave emitter position using the first-order Taylor series approximation. EURASIP Journal on Wireless Communications and Networking. 2016(1). 11 indexed citations
7.
Aziz, Muhammad Reza Kahar, et al.. (2016). A hybrid TOA and RSS-based factor graph for wireless geolocation technique. 2. 140–145. 3 indexed citations
8.
Zhou, Xiaobo, Xin He, Markku Juntti, & Tad Matsumoto. (2015). Outage probability of correlated binary source transmission over fading multiple access channels. 96–100. 6 indexed citations
9.
Tölli, Antti, et al.. (2015). Convergence Constrained Multiuser Transmitter-Receiver Optimization in Single-Carrier FDMA. IEEE Transactions on Signal Processing. 63(6). 1500–1511. 2 indexed citations
10.
He, Xin, Xiaobo Zhou, Petri Komulainen, Markku Juntti, & Tad Matsumoto. (2015). A Lower Bound Analysis of Hamming Distortion for a Binary CEO Problem With Joint Source-Channel Coding. IEEE Transactions on Communications. 64(1). 343–353. 17 indexed citations
11.
Zhou, Xiaobo, Meng Cheng, Xin He, Khoirul Anwar, & Tad Matsumoto. (2014). Outage Analysis of Decode-and-Forward Relaying System Allowing Intra-link Errors. European Wireless Conference. 1–6. 3 indexed citations
12.
Matsumoto, Tad, et al.. (2014). LDPC code optimization with joint source-channel decoding of quantized Gauss-Markov signals. 5233–5238. 2 indexed citations
13.
Cheng, Meng, Khoirul Anwar, & Tad Matsumoto. (2013). Outage probability of a relay strategy allowing intra-link errors utilizing Slepian-Wolf theorem. EURASIP Journal on Advances in Signal Processing. 2013(1). 22 indexed citations
14.
Cheng, Meng, et al.. (2012). BICM-ID for relay system allowing intra-link errors and a similarity constellation to ARQ schemes. JAIST Repository. 281–286. 5 indexed citations
15.
He, Xin, Xiaobo Zhou, Khoirul Anwar, & Tad Matsumoto. (2012). Wireless mesh networks allowing intra-link errors: CEO problem viewpoint. JAIST Repository. 61–65. 3 indexed citations
16.
Karjalainen, Juha, et al.. (2011). EXIT Chart-Based Power Allocation for Iterative Frequency Domain MIMO Detector. IEEE Transactions on Signal Processing. 59(4). 1624–1641. 14 indexed citations
17.
Zhou, Hui, Khoirul Anwar, & Tad Matsumoto. (2011). Low Complexity Time-Concatenated Turbo Equalization for Block Transmission without Guard Interval: Part 2—Application to SC-FDMA. Wireless Personal Communications. 67(4). 783–801. 5 indexed citations
18.
Shimizu, Takashi, Tad Matsumoto, Hidekazu Murata, Koji Yamamoto, & Susumu Yoshida. (2009). Code design for joint decoding of correlated sources using algebraic network coding over AWGN channels. 1–5.
19.
Särestöniemi, Mariella, Tad Matsumoto, Christian Schneider, & Reiner S. Thomä. (2006). System-level performance evaluation of MMSE MIMO turbo equalization techniques using measurement data. JAIST Repository. 1–5. 1 indexed citations
20.
Karjalainen, Juha, et al.. (2006). Iterative Frequency Domain Joint-Over-Antenna Receiver for Multiuser MIMO. 1–6. 3 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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