Norio Katayama

44 total papers · 1.2k total citations
20 papers, 695 citations indexed

About

Norio Katayama is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Norio Katayama has authored 20 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Norio Katayama's work include Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Data Management and Algorithms (8 papers). Norio Katayama is often cited by papers focused on Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Data Management and Algorithms (8 papers). Norio Katayama collaborates with scholars based in Japan. Norio Katayama's co-authors include Shin’ichi Satoh, Ichiro Ide, Hiroshi Murase, Jun Adachi, Atsuhiro Takasu, Tomokazu Takahashi, Masanori Sugimoto, Masanori Sano, Nobuyuki Yagi and Jean Martinet and has published in prestigious journals such as ACM SIGMOD Record, IEICE Transactions on Information and Systems and International Journal on Digital Libraries.

In The Last Decade

Norio Katayama

15 papers receiving 626 citations

Hit Papers

The SR-tree 1997 2026 2006 2016 1997 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Norio Katayama 495 454 192 156 113 20 695
Tolga Bozkaya 477 1.0× 272 0.6× 222 1.2× 207 1.3× 110 1.0× 14 599
José Oncina 268 0.5× 277 0.6× 466 2.4× 78 0.5× 69 0.6× 37 750
Meral Özsoyoğlu 476 1.0× 257 0.6× 251 1.3× 197 1.3× 90 0.8× 17 621
Alfonso F. Cárdenas 277 0.6× 124 0.3× 291 1.5× 404 2.6× 129 1.1× 40 653
Rob Koenen 240 0.5× 483 1.1× 72 0.4× 94 0.6× 63 0.6× 19 627
Jeffrey Jestes 239 0.5× 136 0.3× 139 0.7× 337 2.2× 141 1.2× 11 576
R. Krishnamurthy 279 0.6× 193 0.4× 175 0.9× 330 2.1× 99 0.9× 20 567
Martin Erwig 428 0.9× 73 0.2× 155 0.8× 359 2.3× 146 1.3× 19 794
Jiacheng Yang 72 0.1× 212 0.5× 365 1.9× 181 1.2× 86 0.8× 22 676
Xiangye Xiao 268 0.5× 62 0.1× 170 0.9× 99 0.6× 286 2.5× 12 563

Countries citing papers authored by Norio Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Norio Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Katayama

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