Leif Johnson
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 4
- Topic Modeling 2
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- Gaze Tracking and Assistive Technology 4
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- Visual perception and processing mechanisms 3
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- Visual Attention and Saliency Detection 3
- Human Pose and Action Recognition 2
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- Phonetics and Phonology Research 1
- Co-authors
- Kanishka RaoRohit PrabhavalkarBo LiNavdeep JaitlyTara N. SainathDana H. BallardMary HayhoeBrian Sullivan
- Journals
- iScience (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Journal of Vision (1 paper)
- Partner nations
- United States
In The Last Decade
Leif Johnson
15 papers receiving 251 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 106
- Artificial Intelligence 193
- Human-Computer Interaction 24
- Cognitive Neuroscience 50
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Leif Johnson
This map shows the geographic impact of Leif 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 Leif Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leif Johnson more than expected).
Fields of papers citing papers by Leif Johnson
This network shows the impact of papers produced by Leif 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 Leif Johnson. The network helps show where Leif Johnson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leif Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2019 | 4 | |
| 3 | 2017 | 178 | |
| 4 | 2017 | 7 | |
| 5 | A more general method for pronunciation learning | 2017 | 1 |
| 6 | 2015 | 2 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 9 | |
| 9 | 2014 | 49 | |
| 10 | A soft barrier model for predicting human visuomotor behavior in a driving task | 2013 | 1 |
| 11 | 2013 | 3 | |
| 12 | Large-scale discriminative language model reranking for voice-search | 2012 | 3 |
| 13 | 2012 | 11 | |
| 14 | Language Modeling for Automatic Speech Recognition Meets the Web: Google Search by Voice | 2011 | 2 |
| 15 | A modular reinforcement learning model for human visuomotor behavior in a driving task | 2011 | 2 |
About Leif Johnson
Leif Johnson is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 283 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Gaze Tracking and Assistive Technology (4 papers), Natural Language Processing Techniques (4 papers), Visual Attention and Saliency Detection (3 papers), Visual perception and processing mechanisms (3 papers), Topic Modeling (2 papers), Human Pose and Action Recognition (2 papers) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Signal Processing (106 citations), Artificial Intelligence (193 citations) and Human-Computer Interaction (24 citations). Leif Johnson has collaborated with scholars based in United States. Frequent co-authors include Kanishka Rao, Rohit Prabhavalkar, Bo Li, Navdeep Jaitly, Tara N. Sainath, Dana H. Ballard, Mary Hayhoe, Brian Sullivan, Ciprian Chelba and Brian Strope. Their work appears in journals such as iScience, Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Vision, Cognitive Science and Frontiers in Neurorobotics.
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.