Kiyoshi Sudo

644 total citations
11 papers, 397 citations indexed

About

Kiyoshi Sudo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kiyoshi Sudo has authored 11 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Kiyoshi Sudo's work include Semantic Web and Ontologies (7 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (4 papers). Kiyoshi Sudo is often cited by papers focused on Semantic Web and Ontologies (7 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (4 papers). Kiyoshi Sudo collaborates with scholars based in United States, Bermuda and Japan. Kiyoshi Sudo's co-authors include Satoshi Sekine, Chikashi Nobata, Yusuke Shinyama, Ralph Grishman, Hitoshi Isahara, Kiyotaka Uchimoto, Masaki Murata, Yujie Zhang, Lawrence O’Gorman and Amit Bagga and has published in prestigious journals such as Language Resources and Evaluation and NTCIR.

In The Last Decade

Kiyoshi Sudo

11 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Sudo United States 6 377 90 22 16 16 11 397
Valentin Jijkoun Netherlands 11 353 0.9× 139 1.5× 16 0.7× 23 1.4× 9 0.6× 26 395
Paul Morǎrescu United States 7 449 1.2× 119 1.3× 32 1.5× 5 0.3× 12 0.8× 12 469
John Sterling United States 8 453 1.2× 84 0.9× 44 2.0× 8 0.5× 10 0.6× 21 502
Camelia Ignat Italy 7 422 1.1× 73 0.8× 20 0.9× 7 0.4× 4 0.3× 12 457
Erdal Kuzey Germany 7 136 0.4× 46 0.5× 14 0.6× 13 0.8× 9 0.6× 7 148
Sisay Fissaha Adafre Netherlands 7 260 0.7× 50 0.6× 24 1.1× 92 5.8× 17 1.1× 18 311
Leonhard Hennig Germany 10 250 0.7× 61 0.7× 19 0.9× 7 0.4× 8 0.5× 33 291
Adriana Badulescu United States 7 513 1.4× 76 0.8× 55 2.5× 15 0.9× 10 0.6× 10 538
Günter Ladwig Germany 7 148 0.4× 90 1.0× 24 1.1× 6 0.4× 29 1.8× 9 171
Diego Ceccarelli Italy 8 169 0.4× 69 0.8× 16 0.7× 13 0.8× 34 2.1× 17 209

Countries citing papers authored by Kiyoshi Sudo

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Sudo

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Sudo. A scholar is included among the top collaborators of Kiyoshi Sudo 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 Kiyoshi Sudo. Kiyoshi Sudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Sudo, Kiyoshi, Amit Bagga, Lawrence O’Gorman, & John Bentley. (2005). Using Information Extraction for Quality Analysis in Human Authentication. 23c–23c. 1 indexed citations
2.
Sekine, Satoshi, Ralph Grishman, & Kiyoshi Sudo. (2004). Unsupervised discovery of extraction patterns for information extraction. 3 indexed citations
3.
Uchimoto, Kiyotaka, Yujie Zhang, Kiyoshi Sudo, et al.. (2004). Multilingual aligned parallel treebank corpus reflecting contextual information and its applications. 63–63. 14 indexed citations
4.
Sudo, Kiyoshi, Satoshi Sekine, & Ralph Grishman. (2004). Cross-lingual information extraction system evaluation. 882–es. 10 indexed citations
5.
Sudo, Kiyoshi, Satoshi Sekine, & Ralph Grishman. (2003). An improved extraction pattern representation model for automatic IE pattern acquisition. 1. 224–231. 79 indexed citations
6.
Sudo, Kiyoshi, Satoshi Sekine, & Ralph Grishman. (2003). pre-CODIE. 4. 25–26. 2 indexed citations
7.
Sekine, Satoshi, Kiyoshi Sudo, Yusuke Shinyama, et al.. (2002). NYU/CRL QA System, QAC Question Analysis and CRL QA Data.. NTCIR. 3 indexed citations
8.
Sekine, Satoshi, Kiyoshi Sudo, & Chikashi Nobata. (2002). Extended Named Entity Hierarchy. Language Resources and Evaluation. 130 indexed citations
9.
Shinyama, Yusuke, Satoshi Sekine, & Kiyoshi Sudo. (2002). Automatic paraphrase acquisition from news articles. 313–318. 120 indexed citations
10.
Sudo, Kiyoshi, Satoshi Sekine, & Ralph Grishman. (2001). Automatic pattern acquisition for Japanese information extraction. 1–7. 30 indexed citations
11.
Sekine, Satoshi, et al.. (1999). Statistical Matching of Two Ontologies. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026