Takuya Maekawa
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Co-authors
- Takahiro HaraMehboob AlamY. InamoriChuanping FengYan YangS. TokunagaShojiro NishioYasuyuki Matsushita
- Topics
- Context-Aware Activity Recognition Systems (41 papers)Indoor and Outdoor Localization Technologies (30 papers)Human Pose and Action Recognition (15 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takuya Maekawa
157 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 458
- Electrical and Electronic Engineering 381
- Biomedical Engineering 377
- Computer Networks and Communications 258
- Artificial Intelligence 221
Countries citing papers authored by Takuya Maekawa
This map shows the geographic impact of Takuya Maekawa'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 Takuya Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Maekawa more than expected).
Fields of papers citing papers by Takuya Maekawa
This network shows the impact of papers produced by Takuya Maekawa. 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 Takuya Maekawa. The network helps show where Takuya Maekawa may publish in the future.
Co-authorship network of co-authors of Takuya Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Maekawa. A scholar is included among the top collaborators of Takuya Maekawa 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 Takuya Maekawa. Takuya Maekawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 33 | |
| 15 | 35 | |
| 16 | 14 | |
| 17 | 21 | |
| 18 | An Automatic Scrolling Method for Web Page Browsing on Small Screen Devices | 2 |
| 19 | Studies on the Inactivation of Water Bloom Particles (Part I)-Efficiency of Ozone and Ultraviolet Light Treatments. | 0 |
| 20 | 17 |
About Takuya Maekawa
Takuya Maekawa is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology and Signal Processing, having authored 172 papers that have together received 2.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (41 papers), Indoor and Outdoor Localization Technologies (30 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (458 citations), Behavioral Neuroscience (79 citations) and Environmental Chemistry (183 citations). Takuya Maekawa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takahiro Hara, Mehboob Alam, Y. Inamori, Chuanping Feng, Yan Yang, S. Tokunaga, Shojiro Nishio, Yasuyuki Matsushita, Shinji Watanabe and D Metcalf. Their work appears in journals such as Nature Communications, Carbon and Environmental Pollution.
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.