Tetsu Matsukawa

955 total citations · 1 hit paper
28 papers, 653 citations indexed

About

Tetsu Matsukawa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tetsu Matsukawa has authored 28 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Tetsu Matsukawa's work include Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Human Pose and Action Recognition (7 papers). Tetsu Matsukawa is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Human Pose and Action Recognition (7 papers). Tetsu Matsukawa collaborates with scholars based in Japan, Germany and France. Tetsu Matsukawa's co-authors include Einoshin Suzuki, Takahiro Okabe, Yoichi Sato, Takio Kurita, U. Brunner, Pascal Boileau, Philippe Collin, Gilles Walch, Hirofumi Fujita and Yuanyuan Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Orthopaedics.

In The Last Decade

Tetsu Matsukawa

26 papers receiving 642 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hierarchical Gaussian Descriptor for Person Re-identification

2016 419 citations Tetsu Matsukawa, Takahiro Okabe et al. profile →

Peers

Countries citing papers authored by Tetsu Matsukawa

Since Specialization

Citations

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

Fields of papers citing papers by Tetsu Matsukawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsu Matsukawa

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention 2024 ·Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki	1
2	Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges 2024 ·SN Computer Science ·Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki	2
3	Image Generation from a Hyper Scene Graph with Trinomial Hyperedges 2023 ·Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki	1
4	Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification 2021 ·Tetsu Matsukawa, Einoshin Suzuki	2
5	Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on “Fast and Slow” Thinking 2021 ·(unknown), (unknown), Tetsu Matsukawa, Einoshin Suzuki	5
6	From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking 2021 ·(unknown), (unknown), (unknown), Einoshin Suzuki, Tetsu Matsukawa	1
7	Detecting Anomalous Regions from an Image based on Deep Captioning 2020 ·(unknown), (unknown), (unknown), Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki	4
8	Kernelized Cross-view Quadratic Discriminant Analysis for Person Re-Identification 2019 ·Tetsu Matsukawa, Einoshin Suzuki	4
9	Hierarchical Gaussian Descriptors with Application to Person Re-Identification 2019 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato	33
10	Multimodal Deep Neural Network with Image Sequence Features for Video Captioning 2018 ·(unknown), Tetsu Matsukawa, Einoshin Suzuki	2
11	Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification 2018 ·(unknown), Tetsu Matsukawa, Einoshin Suzuki	6
12	One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection 2018 ·Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki	2
13	Is the humeral stem useful in anatomic total shoulder arthroplasty? 2017 ·International Orthopaedics ·Philippe Collin, Tetsu Matsukawa, Pascal Boileau, U. Brunner, Gilles Walch	24
14	Hierarchical Gaussian Descriptor for Person Re-identification breakdown → 2016 ·Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato	419
15	Toward a platform for collecting, mining, and utilizing behavior data for detecting students with depression risks 2015 ·Einoshin Suzuki, (unknown), Tetsu Matsukawa, Shin Ando, Hiroaki Ogata, Masanori Sugimoto	1
16	Converting near infrared facial images to visible light images using skin pigment model 2013 ·(unknown), Tetsu Matsukawa, Takahiro Okabe, Yoichi Sato	1
17	Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations 2010 ·Tetsu Matsukawa, Takio Kurita	0
18	SCENE CLASSIFICATION USING SPATIAL RELATIONSHIP BETWEEN LOCAL POSTERIOR PROBABILITIES 2010 ·Tetsu Matsukawa, Takio Kurita	2
19	Bag-of-features car detection based on selected local features using Support Vector Machine 2009 ·IEICE Technical Report; IEICE Tech. Rep. ·Koji Suzuki, Tetsu Matsukawa, (unknown)	3
20	Classification of spectators' state in video sequences by voting of facial expressions and face directions 2009 ·Tetsu Matsukawa, (unknown), Takio Kurita	1

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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