Keith Levin
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in ⓘ
-
- Bayesian Methods and Mixture Models 3
- Neural Networks and Applications 2
- Speech Recognition and Synthesis 2
-
- Complex Network Analysis Techniques 3
- Co-authors
- Aren Jansen (2 shared papers)Karen Livescu (1 shared paper)Katharine E. Henry (1 shared paper)Vince Lyzinski (4 shared papers)Carey E. Priebe (4 shared papers)Benjamin Van Durme (1 shared paper)Avanti Athreya (3 shared papers)Minh Tang (3 shared papers)
- Journals
- Electronic Journal of Statistics (1 paper)Bernoulli (1 paper)Journal of Machine Learning Research (1 paper)IEEE Transactions on Signal Processing (1 paper)Current Opinion in Neurobiology (1 paper)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Keith Levin
10 papers receiving 209 citations
Peers
Comparison fields: 5 of 54
- Signal Processing 90
- Artificial Intelligence 151
- Statistical and Nonlinear Physics 52
- Computational Mathematics 1
- Statistics and Probability 13
Countries citing papers authored by Keith Levin
This map shows the geographic impact of Keith Levin'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 Keith Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Levin more than expected).
Fields of papers citing papers by Keith Levin
This network shows the impact of papers produced by Keith Levin. 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 Keith Levin. The network helps show where Keith Levin may publish in the future.
Co-authors
The 22 scholars most cited alongside Keith Levin, 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 | 2013 | 70 | |
| 2 | Statistical inference on random dot product graphs: a survey | 2018 | 47 |
| 3 | 2015 | 39 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 9 | |
| 6 | 2019 | 7 | |
| 7 | 2015 | 5 | |
| 8 | A central limit theorem for an omnibus embedding of random dot product graphs | 2017 | 3 |
| 9 | 2020 | 3 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2015 | 0 |
About Keith Levin
Keith Levin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing, Computational Theory and Mathematics and Molecular Biology, having authored 12 papers that have together received 217 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Bayesian Methods and Mixture Models (3 papers), Face and Expression Recognition (2 papers), Neural Networks and Applications (2 papers), Speech Recognition and Synthesis (2 papers), Music and Audio Processing (2 papers), Speech and Audio Processing (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (90 citations), Artificial Intelligence (151 citations), Statistical and Nonlinear Physics (52 citations), Computational Mathematics (1 citation) and Statistics and Probability (13 citations). Keith Levin has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Aren Jansen, Karen Livescu, Katharine E. Henry, Vince Lyzinski, Carey E. Priebe, Benjamin Van Durme, Avanti Athreya, Minh Tang, Joshua T Vogelstein and Donniell E. Fishkind. Their work appears in journals such as Electronic Journal of Statistics, Bernoulli, Journal of Machine Learning Research, IEEE Transactions on Signal Processing and Current Opinion in Neurobiology.
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.