Tadahiro Wada

103 total papers · 447 total citations
45 papers, 289 citations indexed

About

Tadahiro Wada is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tadahiro Wada has authored 45 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 31 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Tadahiro Wada's work include Advanced Wireless Communication Techniques (21 papers), Wireless Communication Networks Research (14 papers) and Cooperative Communication and Network Coding (14 papers). Tadahiro Wada is often cited by papers focused on Advanced Wireless Communication Techniques (21 papers), Wireless Communication Networks Research (14 papers) and Cooperative Communication and Network Coding (14 papers). Tadahiro Wada collaborates with scholars based in Japan, Australia and United States. Tadahiro Wada's co-authors include Takaya Yamazato, Abbas Jamalipour, Masaaki Katayama, Hiraku Okada, Kaiji Mukumoto, Masato Saito, Kentaro Kobayashi, Yasuhisa Oya, Shota Yamazaki and Fei Sun and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Tadahiro Wada

42 papers receiving 276 citations

Author Peers

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

Author						Papers	Cites
Tadahiro Wada	224	162	33	25	22	45	289
K. Tittelbach‐Helmrich	212 0.9×	72 0.4×	34 1.0×	9 0.4×	9 0.4×	49	292
Lazaros Papadopoulos	99 0.4×	84 0.5×	16 0.5×	33 1.3×	31 1.4×	45	276
Tundong Liu	166 0.7×	53 0.3×	44 1.3×	10 0.4×	42 1.9×	37	323
Chunlei Zhang	90 0.4×	78 0.5×	18 0.5×	18 0.7×	65 3.0×	42	318
Neal K. Bambha	134 0.6×	93 0.6×	69 2.1×	14 0.6×	61 2.8×	35	321
Hyeonsu Kim	163 0.7×	98 0.6×	16 0.5×	32 1.3×	29 1.3×	35	275
Qing Yang	144 0.6×	75 0.5×	25 0.8×	11 0.4×	13 0.6×	40	276
Dustin Richmond	101 0.5×	94 0.6×	18 0.5×	35 1.4×	46 2.1×	28	303
Xin Guo	113 0.5×	87 0.5×	13 0.4×	41 1.6×	83 3.8×	32	261
Jiayi Huang	125 0.6×	121 0.7×	11 0.3×	23 0.9×	48 2.2×	33	229

Countries citing papers authored by Tadahiro Wada

Since Specialization

Citations

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

Fields of papers citing papers by Tadahiro Wada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadahiro Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Tadahiro Wada. A scholar is included among the top collaborators of Tadahiro Wada 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 Tadahiro Wada. Tadahiro Wada 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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