Futoshi Naya

731 total citations
45 papers, 518 citations indexed

About

Futoshi Naya is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Transportation. According to data from OpenAlex, Futoshi Naya has authored 45 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Transportation. Recurrent topics in Futoshi Naya's work include Context-Aware Activity Recognition Systems (8 papers), Human Mobility and Location-Based Analysis (8 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Futoshi Naya is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Human Mobility and Location-Based Analysis (8 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Futoshi Naya collaborates with scholars based in Japan and Germany. Futoshi Naya's co-authors include Kiyoshi Kogure, Junji Yamato, Kazuhiko Shinozawa, Haruo Noma, Ren Ohmura, Yasue Kishino, Hiroshi Sawada, Y. Shirai, Naonori Ueda and Akisato Kimura and has published in prestigious journals such as International Journal of Human-Computer Studies, IEEE Pervasive Computing and IEICE Transactions on Information and Systems.

In The Last Decade

Futoshi Naya

40 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Futoshi Naya Japan 11 159 142 124 82 81 45 518
Ha Manh United States 13 124 0.8× 82 0.6× 194 1.6× 49 0.6× 70 0.9× 18 482
Francisco J. Rodríguez-Lera Spain 13 103 0.6× 152 1.1× 115 0.9× 78 1.0× 38 0.5× 60 491
Sumit Kumar Das United States 13 70 0.4× 101 0.7× 154 1.2× 138 1.7× 99 1.2× 41 573
Jaehong Kim South Korea 14 90 0.6× 141 1.0× 314 2.5× 89 1.1× 126 1.6× 101 699
Norihiro Hagita Japan 10 173 1.1× 108 0.8× 143 1.2× 147 1.8× 35 0.4× 16 422
Kathryn Kasmarik Australia 14 91 0.6× 222 1.6× 105 0.8× 55 0.7× 94 1.2× 53 643
Yasushi Nakauchi Japan 10 133 0.8× 79 0.6× 180 1.5× 162 2.0× 40 0.5× 61 431
Shahid Mahmood Awan Pakistan 10 70 0.4× 179 1.3× 109 0.9× 26 0.3× 44 0.5× 20 538
Silas Franco dos Reis Alves Brazil 7 74 0.5× 125 0.9× 56 0.5× 103 1.3× 32 0.4× 19 522
Eri Sato-Shimokawara Japan 9 127 0.8× 107 0.8× 139 1.1× 187 2.3× 35 0.4× 122 421

Countries citing papers authored by Futoshi Naya

Since Specialization
Citations

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

Fields of papers citing papers by Futoshi Naya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Futoshi Naya

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

All Works

20 of 20 papers shown
2.
Fujita, Sanae, et al.. (2020). A Picture-Book Recommender System for Extensive Reading on an E-Book System. Kyoto University Research Information Repository (Kyoto University). 690–692. 1 indexed citations
3.
Naya, Futoshi, et al.. (2017). Optimal Crowd Navigation via Spatio-temporal Multidimensional Collective Data Analysis. NTT technical review. 15(9). 26–32. 3 indexed citations
4.
Takeuchi, Koh, Takuro Yonezawa, Tomotaka Ito, et al.. (2017). Towards Understanding Latent Relationships Among Uncollectible Garbage and City Demographics. 11–15. 2 indexed citations
5.
Iwata, Tomoharu, et al.. (2017). Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models. ACM Transactions on Spatial Algorithms and Systems. 3(1). 1–18. 14 indexed citations
6.
Yamada, Takeshi, et al.. (2016). Artificial Intelligence Research Activities and Directions in the NTT Group. NTT technical review. 14(5). 1–8. 7 indexed citations
7.
Kishino, Yasue, et al.. (2014). Endangered fish habitat monitoring using a sensor network. 2014(11). 1–7. 1 indexed citations
8.
Yanagisawa, Yutaka, Yasue Kishino, Takayuki Suyama, et al.. (2014). A CIL Virtual Machine for Wireless Sensor Network Applications. IPSJ SIG Notes. 2014(12). 1–4. 1 indexed citations
9.
Yamada, Makoto, Akisato Kimura, Futoshi Naya, & Hiroshi Sawada. (2013). Change-point detection with feature selection in high-dimensional time-series data. International Joint Conference on Artificial Intelligence. 1827–1833. 29 indexed citations
10.
Naya, Futoshi, et al.. (2009). Workflow Measurement and Analysis with Wireless Sensor Network Systems. 2009(24). 1–8. 1 indexed citations
11.
Naya, Futoshi, et al.. (2008). User's Location Estimation Method based on Received Signal Strength Indicator between Bluetooth devices. Medical Entomology and Zoology. 108(138). 147–152.
12.
Tada, Masahiro, et al.. (2007). Measuring Drivers' Behavior Using Wireless 3D-Accelerometers for Anomaly Detection. IEICE Technical Report; IEICE Tech. Rep.. 107(115). 117–122. 1 indexed citations
13.
Tada, Masahiro, et al.. (2006). Analysis of Steering Control Behavior Using 3D-Accelerometers. IEICE Technical Report; IEICE Tech. Rep.. 2006(230). 233–240. 6 indexed citations
14.
Ohmura, Ren, Futoshi Naya, Haruo Noma, & Kiyoshi Kogure. (2006). B-Pack: A Bluetooth-based Wearable Sensing Device for Nursing Activity Recognition. 1–6. 30 indexed citations
15.
Naya, Futoshi, et al.. (2006). Workers' Routine Activity Recognition using Body Movements and Location Information. 105–108. 45 indexed citations
16.
Ohmura, Ren, et al.. (2006). Practical Design of A Sensor Network for Understanding Nursing Activities. 615–622. 8 indexed citations
17.
Naya, Futoshi, Haruo Noma, Ren Ohmura, & Kiyoshi Kogure. (2005). Bluetooth-based Indoor Proximity Sensing for Nursing Context Awareness. 212–213. 33 indexed citations
18.
Abe, K, et al.. (2005). Building dialogue corpora for nursing activity analysis. 8 indexed citations
19.
Naya, Futoshi, Kazuhiko Shinozawa, Junji Yamato, & Kiyoshi Kogure. (2002). Real-Time Classification of Human Touching Behaviors Using Pressure Sensors and Its Personal Adaptation. IEICE Transactions on Information and Systems. 85(4). 795. 2 indexed citations
20.
Yamato, Junji, Kazuhiko Shinozawa, Futoshi Naya, & Kiyoshi Kogure. (2001). Evaluation of Communication with Robot and Agent: Are Robots Better Social Actors than Agents?. International Conference on Human-Computer Interaction. 690–691. 10 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.

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