Kenji Okuma

1.2k total citations
5 papers, 133 citations indexed

About

Kenji Okuma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Kenji Okuma has authored 5 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Kenji Okuma's work include Video Analysis and Summarization (2 papers), Time Series Analysis and Forecasting (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Kenji Okuma is often cited by papers focused on Video Analysis and Summarization (2 papers), Time Series Analysis and Forecasting (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Kenji Okuma collaborates with scholars based in Canada and United States. Kenji Okuma's co-authors include James J. Little, Wei-Lwun Lu, David Lowe and Ellen Walker and has published in prestigious journals such as Image and Vision Computing, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Open Collections.

In The Last Decade

Kenji Okuma

4 papers receiving 116 citations

Peers

Kenji Okuma

CVPR

AI

AE

EEE

BE

Toshikazu Wada Japan

Dongyoon Wee South Korea

Yujie Zhong China

Yuan-Ting Hu United States

Severin Stalder Switzerland

Shenyuan Gao Hong Kong

Ilchae Jung South Korea

Tae Eun Choe United States

Tatjana Chavdarova Switzerland

Toshikazu Wada Japan

Kenji Okuma

168 ×1.4

CVPR

35 ×0.7

AI

14 ×0.6

AE

17 ×1.1

EEE

6 ×0.5

BE

Citations per year, relative to Kenji Okuma Kenji Okuma (= 1×) peers Toshikazu Wada

Countries citing papers authored by Kenji Okuma

Since Specialization

Citations

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

Fields of papers citing papers by Kenji Okuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Okuma

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

All Works

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5 of 5 papers shown

1.

Okuma, Kenji. (2012). Active exploration of training data for improved object detection. Open Collections. 1 indexed citations

2.

Lu, Wei-Lwun, Kenji Okuma, & James J. Little. (2008). Tracking and recognizing actions of multiple hockey players using the boosted particle filter. Image and Vision Computing. 27(1-2). 189–205. 85 indexed citations

3.

Okuma, Kenji, James J. Little, & David Lowe. (2003). AUTOMATIC RECTIFICATION OF LONG IMAGE SEQUENCES. 29 indexed citations

4.

Okuma, Kenji, James J. Little, & David Lowe. (2003). <title>Automatic acquisition of motion trajectories: tracking hockey players</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5304. 202–213. 18 indexed citations

5.

Walker, Ellen & Kenji Okuma. (2002). Automatic extraction of invariant features for object recognition. 163–167.

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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