Eiichiro Sumita

465 total papers · 6.5k total citations
332 papers, 4.0k citations indexed

About

Eiichiro Sumita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Eiichiro Sumita has authored 332 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 320 papers in Artificial Intelligence, 79 papers in Computer Vision and Pattern Recognition and 17 papers in Molecular Biology. Recurrent topics in Eiichiro Sumita's work include Natural Language Processing Techniques (312 papers), Topic Modeling (273 papers) and Speech and dialogue systems (58 papers). Eiichiro Sumita is often cited by papers focused on Natural Language Processing Techniques (312 papers), Topic Modeling (273 papers) and Speech and dialogue systems (58 papers). Eiichiro Sumita collaborates with scholars based in Japan, China and Myanmar. Eiichiro Sumita's co-authors include Masao Utiyama, Andrew Finch, Rui Wang, Taro Watanabe, Seiichi Yamamoto, Kehai Chen, Kenji Imamura, Toshiyuki Takezawa, Lemao Liu and Genichiro Kikui and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Eiichiro Sumita

309 papers receiving 3.3k citations

Author Peers

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

Author Last Decade Papers Cites
Eiichiro Sumita 3.8k 939 203 183 132 332 4.0k
Lucia Specia 4.0k 1.1× 717 0.8× 171 0.8× 359 2.0× 185 1.4× 213 4.3k
Rico Sennrich 2.6k 0.7× 935 1.0× 131 0.6× 224 1.2× 120 0.9× 108 3.1k
Jörg Tiedemann 3.9k 1.0× 622 0.7× 143 0.7× 206 1.1× 417 3.2× 177 4.2k
Chengqing Zong 3.4k 0.9× 890 0.9× 148 0.7× 386 2.1× 45 0.3× 246 3.8k
Sivaji Bandyopadhyay 2.7k 0.7× 474 0.5× 85 0.4× 366 2.0× 98 0.7× 291 3.4k
Qun Liu 3.3k 0.9× 1.2k 1.2× 201 1.0× 327 1.8× 49 0.4× 230 3.8k
Hai Zhao 2.7k 0.7× 700 0.7× 218 1.1× 264 1.4× 38 0.3× 217 3.1k
Anders Søgaard 2.5k 0.7× 388 0.4× 119 0.6× 211 1.2× 69 0.5× 195 2.8k
Christof Monz 3.4k 0.9× 548 0.6× 195 1.0× 418 2.3× 100 0.8× 113 3.6k
Alon Lavie 5.3k 1.4× 2.4k 2.5× 233 1.1× 411 2.2× 228 1.7× 123 6.4k

Countries citing papers authored by Eiichiro Sumita

Since Specialization
Citations

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

Fields of papers citing papers by Eiichiro Sumita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichiro Sumita

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