Kazuhiro Kondo

5.0k citations
113 papers · 448 indexed · h-index 10

Kazuhiro Kondo

92 papers receiving 419 citations

Peers

Kazuhiro Kondo
Comparison fields: 5 of 82
  • Signal Processing 224
  • Cognitive Neuroscience 101
  • Computer Vision and Pattern Recognition 95
  • Artificial Intelligence 106
  • Computational Mechanics 49
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Robert Peharz Austria
Anand D. Darji India
Xiefeng Cheng China
Md. Jahangir Alam Canada
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Citations per year

Countries citing papers authored by Kazuhiro Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kazuhiro Kondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kazuhiro Kondo Line = papers co-authored together Kazuhiro Kondo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20230
3 20231
4
A Case Study of Bootstrap Masker Quality Assessment for Speech-Privacy Protection.
20170
5 20174
6 20141
7 20134
8 20121
9 20111
10
A Data Hiding Method for Stereo Audio Signals Using Interchannel Decorrelator Polarity Inversion
20113
11
A study on audio information hiding and its criteria for evaluation
20111
12 20113
13
The Influence of Stereo Coding on the 3D Sound Localization Accuracy
20080
14 20042
15
On Long Term Prediction for Active Cellular Speech Emission Control
20032
16 200212
17 20020
18 200121
19 200115
20 19872

About Kazuhiro Kondo

Kazuhiro Kondo is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 448 indexed citations. Recurring topics across this work include Speech and Audio Processing (47 papers), Hearing Loss and Rehabilitation (23 papers), Speech Recognition and Synthesis (19 papers), Advanced Steganography and Watermarking Techniques (12 papers), Advanced NMR Techniques and Applications (11 papers), Digital Media Forensic Detection (10 papers), Advanced Data Compression Techniques (9 papers) and Atomic and Subatomic Physics Research (9 papers). The work is most often cited by research in Signal Processing (224 citations), Cognitive Neuroscience (101 citations) and Computer Vision and Pattern Recognition (95 citations). Kazuhiro Kondo has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Kiyoshi Nakagawa, Tomoe Fujita, Yeshwant K. Muthusamy, Yosuke Kobayashi, C. Mishima, Aritoshi Iida, Satoshi Osawa, Katsumi Takano, S. Harigae and K. Nakagawa. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Electronics Letters.

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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