Keith Levin

823 citations
13 papers · 222 · h-index 6

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling

Papers in

Keith Levin

11 papers receiving 214 citations

Peers

Keith Levin
Comparison fields: 5 of 55
  • Signal Processing 91
  • Artificial Intelligence 153
  • Statistical and Nonlinear Physics 52
  • Statistics and Probability 14
  • Computational Mathematics 1
Replace Mohamed Ishmael Belghazi with:
Mohamed Ishmael Belghazi Canada
Yutao Zhang China
Andre Manoel France
Antony Joseph United States
Ryo Karakida Japan
Benigno Uría United Kingdom
Juan K. Lin United States
Vinayak Rao United States
Cencheng Shen United States
Vincent Q. Vu United States
Keith Levin relative to Mohamed Ishmael Belghazi Canada Mohamed Ishmael Belghazi's profile →
Citations per field
00.5×
Mohamed Ishmael Belghazi · 1×
Citations per year

Countries citing papers authored by Keith Levin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

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

All Works

13 of 13 papers shown
#Work
1 201371
2
Statistical inference on random dot product graphs: a survey
201847
3 201540
4 201733
5 201610
6 20198
7 20155
8
A central limit theorem for an omnibus embedding of random dot product graphs
20173
9 20203
10 20251
11 20221
12 20250
13 20150

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 13 papers that have together received 222 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Bayesian Methods and Mixture Models (3 papers), Neural Networks and Applications (2 papers), Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Face and Expression Recognition (2 papers), Statistical Methods and Inference (1 paper) and Random Matrices and Applications (1 paper). The work is most often cited by research in Signal Processing (91 citations), Artificial Intelligence (153 citations), Statistical and Nonlinear Physics (52 citations), Statistics and Probability (14 citations) and Computational Mathematics (1 citation). Keith Levin has collaborated with scholars based in United States, Germany and Czechia. 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, Technometrics, Bernoulli, Annals of the American Association of Geographers and IEEE Transactions on Signal Processing.

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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