Mark Hasegawa‐Johnson
- Artificial Intelligence top 0.5%
- Signal Processing top 0.1%
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Physiology top 5%
- Co-authors
- Thomas S. HuangParis SmaragdisMinje KimJennifer ColeXiaodan ZhuangXi ZhouAdrienne L. PerlmanPo-Sen Huang
- Topics
- Speech Recognition and Synthesis (172 papers)Speech and Audio Processing (137 papers)Music and Audio Processing (91 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Mark Hasegawa‐Johnson
276 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 2.5k
- Signal Processing 2.5k
- Experimental and Cognitive Psychology 1.3k
- Computer Vision and Pattern Recognition 901
- Physiology 534
Countries citing papers authored by Mark Hasegawa‐Johnson
This map shows the geographic impact of Mark Hasegawa‐Johnson'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 Mark Hasegawa‐Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hasegawa‐Johnson more than expected).
Fields of papers citing papers by Mark Hasegawa‐Johnson
This network shows the impact of papers produced by Mark Hasegawa‐Johnson. 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 Mark Hasegawa‐Johnson. The network helps show where Mark Hasegawa‐Johnson may publish in the future.
Co-authorship network of co-authors of Mark Hasegawa‐Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hasegawa‐Johnson. A scholar is included among the top collaborators of Mark Hasegawa‐Johnson 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 Mark Hasegawa‐Johnson. Mark Hasegawa‐Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss | 39 |
| 8 | Dilated Recurrent Neural Networks | 66 |
| 9 | Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. | 0 |
| 10 | Classtranscribe: a new tool with new educational opportunities for student crowdsourced college lecture transcription. | 2 |
| 11 | 65 | |
| 12 | Automatic Long Audio Alignment and Confidence Scoring for Conversational Arabic Speech | 2 |
| 13 | A PAC-Bayesian Approach to Minimum Perplexity Language Modeling | 1 |
| 14 | Detection of Acoustic-Phonetic Landmarks in Mismatched Conditions using a Biomimetic Model of Human Auditory Processing | 1 |
| 15 | Multi-sensory features for personnel detection at border crossings | 8 |
| 16 | Multimodal speech and audio user interfaces for K-12 outreach | 2 |
| 17 | 4 | |
| 18 | 266 | |
| 19 | Room Equalization Based on Acoustic and Human Perceptual Features | 1 |
| 20 | Speech Recognition Models of the Interdependence Among Syntax, Prosody, and Segmental Acoustics | 13 |
About Mark Hasegawa‐Johnson
Mark Hasegawa‐Johnson is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 296 papers that have together received 4.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (172 papers), Speech and Audio Processing (137 papers) and Music and Audio Processing (91 papers). The work is most often cited by research in Signal Processing (2.5k citations), Experimental and Cognitive Psychology (1.3k citations) and Artificial Intelligence (2.5k citations). Mark Hasegawa‐Johnson has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Thomas S. Huang, Paris Smaragdis, Minje Kim, Jennifer Cole, Xiaodan Zhuang, Xi Zhou, Adrienne L. Perlman, Po-Sen Huang, Shuicheng Yan and Ken Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.