Naohiro Ishii

2.0k total citations
168 papers, 954 citations indexed

About

Naohiro Ishii is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naohiro Ishii has authored 168 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 34 papers in Information Systems and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naohiro Ishii's work include Neural Networks and Applications (41 papers), Neural dynamics and brain function (15 papers) and Software Engineering Research (13 papers). Naohiro Ishii is often cited by papers focused on Neural Networks and Applications (41 papers), Neural dynamics and brain function (15 papers) and Software Engineering Research (13 papers). Naohiro Ishii collaborates with scholars based in Japan, China and Canada. Naohiro Ishii's co-authors include N. Suzumura, Akira Iwata, Yuji Iwahori, Hiroshi Nakahama, Mitsuaki Yamamoto, Kazunori Iwata, Hidezumi Sugie, Takahiro Yamada, Yohei Adachi and M. Tsukada and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Neural Networks.

In The Last Decade

Naohiro Ishii

136 papers receiving 877 citations

Peers

Naohiro Ishii
Comparison fields: 5 of 126
  • Artificial Intelligence 265
  • Cognitive Neuroscience 208
  • Computer Vision and Pattern Recognition 174
  • Information Systems 119
  • Signal Processing 109
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Vicente Alarcon‐Aquino Mexico
M. J. E. Salami Malaysia
Galip Aydın Türkiye
Roberto Prevete Italy
Brett J. Borghetti United States
J.C. Principe United States
Yun Luo China
Xin Qi China
Modjtaba Rouhani Iran
J.F. Tasič Slovenia
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Citations per field, relative to Naohiro Ishii
Naohiro Ishii · 1×
Citations per year, relative to Naohiro Ishii
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Countries citing papers authored by Naohiro Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Naohiro Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naohiro Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Ishii. A scholar is included among the top collaborators of Naohiro Ishii 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 Naohiro Ishii. Naohiro Ishii 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
# Work Indexed citations
1 0
2 1
3 18
4
Doubly-Logarithmic Energy-Efficient Initialization Protocols for Single-Hop Radio Networks(Special Section on Discrete Mathematics and Its Applications)
0
5
An Energy-Efficient Initialization Protocol for Wireless Sensor Networks with No Collision Detection
0
6
Evaluating Word Similarity in a Semantic Network.
1
7 0
8
Information retrieval for fine arts database system
1
9
Self-Supervised Learning of Autonomous Robot by Integrating Information from Several Sensors.
1
10
Incremental Learning Method of GRBF with Recalling of Interfered Patterns - Application for Case Based Reasoning Systems.
1
11
Neural network based photometric stereo using illumination planning
3
12
Detection of the K-Complex Using a New Method of Recognizing Waveform Based on the Discrete Wavelet Transform
15
13
Extraction of Feature Attentive Regions in a Learnt Neural Network
1
14
Photometric Stereo for Specular Surface Shape Based on Neural Network
3
15
Memory Search by Matching Features in Chaotic Neural Network
1
16
Moving Point Light Source Photometric Stereo
5
17
The Recognition System with Two Channels at Different Resolution for Detecting Spike in Human's EEG
3
18
Determining Surface Orientation by Uni-directional Photometric Flow Fields.
0
19
[Studies of waveform recognition in EEG analysis].
2
20 15

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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