Tetsuo Furukawa

483 total citations
52 papers, 230 citations indexed

About

Tetsuo Furukawa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tetsuo Furukawa has authored 52 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Control and Systems Engineering. Recurrent topics in Tetsuo Furukawa's work include Neural Networks and Applications (15 papers), Advanced Memory and Neural Computing (6 papers) and Photoreceptor and optogenetics research (5 papers). Tetsuo Furukawa is often cited by papers focused on Neural Networks and Applications (15 papers), Advanced Memory and Neural Computing (6 papers) and Photoreceptor and optogenetics research (5 papers). Tetsuo Furukawa collaborates with scholars based in Japan, United Kingdom and Finland. Tetsuo Furukawa's co-authors include Masahiro Yamada, Mustafa B.A. Djamgoz, Muhammad Aziz Muslim, Masumi Ishikawa, Shin Yasui, Katsushi Tokunaga, Hiroki Matsumoto, Hiroto Tanaka, Jiayan Jiang and Kazuo Ishii and has published in prestigious journals such as Experimental Brain Research, The Journal of General Physiology and Neurocomputing.

In The Last Decade

Tetsuo Furukawa

40 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuo Furukawa Japan 9 80 56 48 45 19 52 230
Afnizanfaizal Abdullah Malaysia 11 85 1.1× 63 1.1× 80 1.7× 35 0.8× 9 0.5× 39 292
Sambu Seo Germany 8 204 2.5× 118 2.1× 25 0.5× 13 0.3× 22 1.2× 11 360
Luis G. Sánchez Giraldo United States 7 79 1.0× 55 1.0× 20 0.4× 30 0.7× 19 1.0× 20 208
Tianqi Yang China 10 71 0.9× 41 0.7× 53 1.1× 45 1.0× 13 0.7× 64 315
Hua Huo China 10 78 1.0× 55 1.0× 39 0.8× 9 0.2× 9 0.5× 53 273
Iren Valova United States 11 161 2.0× 81 1.4× 9 0.2× 15 0.3× 27 1.4× 62 333
Abhijit S. Pandya United States 8 103 1.3× 52 0.9× 10 0.2× 6 0.1× 20 1.1× 62 322
Mohammad Taghi Sadeghi Iran 8 66 0.8× 73 1.3× 9 0.2× 10 0.2× 60 3.2× 46 228
Alessandro Achille United States 8 223 2.8× 148 2.6× 12 0.3× 14 0.3× 13 0.7× 23 366
Hongsik Choi United States 11 52 0.7× 21 0.4× 29 0.6× 27 0.6× 30 1.6× 41 482

Countries citing papers authored by Tetsuo Furukawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Furukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Furukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Furukawa. A scholar is included among the top collaborators of Tetsuo Furukawa 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 Tetsuo Furukawa. Tetsuo Furukawa 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
1.
2.
Furukawa, Tetsuo, et al.. (2013). On-line Building a Hybrid Map for Autonomous Robot Using Self-Evolving Modular Network. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 25(2). 659–675.
3.
Iwasaki, Toru & Tetsuo Furukawa. (2012). Tensor Decomposition using Self-Organizing Map and Missing Data Estimation. 112(227). 55–60.
4.
Furukawa, Tetsuo, et al.. (2012). Shape space estimation by higher-rank of SOM. Neural Computing and Applications. 22(7-8). 1267–1277. 3 indexed citations
5.
Tokunaga, Katsushi & Tetsuo Furukawa. (2010). Building a cognitive map using an SOM2. Journal of Automation Mobile Robotics & Intelligent Systems. 39–47.
6.
Muslim, Muhammad Aziz, Masumi Ishikawa, & Tetsuo Furukawa. (2009). Task segmentation in a mobile robot by mnSOM and clusteringwith spatio-temporal contiguity. International journal of innovative computing, information & control. 5(4). 865–875. 3 indexed citations
7.
Furukawa, Tetsuo. (2009). SOM of SOMs. Neural Networks. 22(4). 463–478. 37 indexed citations
8.
Furukawa, Tetsuo, et al.. (2008). Modular network SOM. Neural Networks. 22(1). 82–90. 25 indexed citations
9.
Nishida, Shuhei, Kazuo Ishii, & Tetsuo Furukawa. (2007). Self-Organizing Decision-Making System for AUV. 506–511. 3 indexed citations
10.
Jiang, Jiayan, Liming Zhang, & Tetsuo Furukawa. (2006). Improving the Generalization of Fisherface by Training Class Selection Using SOM2. Lecture notes in computer science. 4233. 278–285. 1 indexed citations
11.
Furukawa, Tetsuo, et al.. (2006). Generalization of the Self-Organizing Map:From Artificial Neural Networks to Artificial Cortexes. Lecture notes in computer science. 4232(4232). 943–949. 1 indexed citations
12.
Furukawa, Tetsuo, et al.. (2006). Modular Network SOM: Theory, Algorithm and Applications. Lecture notes in computer science. 4232(4232). 958–967. 1 indexed citations
13.
Furukawa, Tetsuo. (2006). SOM of SOMs : An Extension of SOM from 'Map' to 'Homotopy'. Lecture notes in computer science. 4232. 950–957. 2 indexed citations
14.
Nishida, Shuhei, Kazuo Ishii, & Tetsuo Furukawa. (2006). A Self-Organizing Decision Making System for AUVs. Journal of the Japan Society of Naval Architects and Ocean Engineers. 3(0). 205–213. 2 indexed citations
15.
Muslim, Muhammad Aziz, Masatoshi Ishikawa, & Tetsuo Furukawa. (2006). A New Approach to Task Segmentation in Mobile Robots by mnSOM. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 3510–3517. 4 indexed citations
16.
Furukawa, Tetsuo, et al.. (2004). Modular Network SOM: Self-organizing maps dealing with dynamic systems. 103(732). 35–40. 1 indexed citations
17.
Furukawa, Tetsuo, et al.. (2002). Nitric oxide controls the light adaptive chromatic difference in receptive field size of H1 horizontal cell network in carp retina. Experimental Brain Research. 147(3). 296–304. 6 indexed citations
18.
Djamgoz, Mustafa B.A., et al.. (1998). Modulation of chromatic difference in receptive field size of H1 horizontal cells in carp retina: dopamine- and APB-sensitive mechanisms. Neuroscience Research. 30(1). 13–24. 10 indexed citations
19.
Furukawa, Tetsuo, et al.. (1998). [Basic principles and historical consideration of MR cholangiopancreatography].. PubMed. 56(11). 2755–9.
20.
Yasui, Shin, Tetsuo Furukawa, Makoto Yamada, & T. Saito. (1995). Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision. Neural Information Processing Systems. 8. 159–165. 3 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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