Emma Ozanich

602 total citations
17 papers, 458 citations indexed

About

Emma Ozanich is a scholar working on Oceanography, Signal Processing and Ecology. According to data from OpenAlex, Emma Ozanich has authored 17 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oceanography, 8 papers in Signal Processing and 6 papers in Ecology. Recurrent topics in Emma Ozanich's work include Underwater Acoustics Research (16 papers), Speech and Audio Processing (7 papers) and Marine animal studies overview (6 papers). Emma Ozanich is often cited by papers focused on Underwater Acoustics Research (16 papers), Speech and Audio Processing (7 papers) and Marine animal studies overview (6 papers). Emma Ozanich collaborates with scholars based in United States and China. Emma Ozanich's co-authors include Peter Gerstoft, Haiqiang Niu, Haibin Wang, Zhenglin Li, Aaron M. Thode, Simon E. Freeman, Lauren A. Freeman, Renhe Zhang, Peter F. Worcester and Matthew A. Dzieciuch and has published in prestigious journals such as The Journal of the Acoustical Society of America and arXiv (Cornell University).

In The Last Decade

Emma Ozanich

15 papers receiving 448 citations

Peers

Emma Ozanich

OCEAN

SP

OE

ECOLO

AI

Haiqiang Niu China

Qunyan Ren China

Keunhwa Lee South Korea

Paulo Felisberto Portugal

Shima Abadi United States

Orlando Camargo Rodríguez Portugal

Chris Capus United Kingdom

Shengchun Piao China

Kay L. Gemba United States

Antonio Cardenal-López Spain

Haiqiang Niu China

Emma Ozanich

584 ×1.7

OCEAN

360 ×1.5

SP

374 ×1.9

OE

111 ×1.1

ECOLO

63 ×1.6

AI

Citations per year, relative to Emma Ozanich Emma Ozanich (= 1×) peers Haiqiang Niu

Countries citing papers authored by Emma Ozanich

Since Specialization

Citations

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

Fields of papers citing papers by Emma Ozanich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Ozanich

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Ozanich. A scholar is included among the top collaborators of Emma Ozanich 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 Emma Ozanich. Emma Ozanich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Gerstoft, Peter, et al.. (2023). Reducing dimensionality of spectrograms using convolutional autoencoders. The Journal of the Acoustical Society of America. 153(3_supplement). A178–A178.

2.

Lin, Ying-Tsong, et al.. (2022). Real-time joint ocean acoustics and circulation modeling in the 2021 New England Shelf Break Acoustics experiment (L). The Journal of the Acoustical Society of America. 152(5). 2859–2862. 2 indexed citations

3.

Ozanich, Emma, Glen Gawarkiewicz, & Ying-Tsong Lin. (2022). Study of acoustic propagation across an oceanic front at the edge of the New England shelf. The Journal of the Acoustical Society of America. 152(6). 3756–3767. 8 indexed citations

4.

Thode, Aaron M., Emma Ozanich, Simon E. Freeman, et al.. (2021). Automated two-dimensional localization of underwater acoustic transient impulses using vector sensor image processing (vector sensor localization). The Journal of the Acoustical Society of America. 149(2). 770–787. 10 indexed citations

5.

Ozanich, Emma, Aaron M. Thode, Peter Gerstoft, Lauren A. Freeman, & Simon E. Freeman. (2021). Deep embedded clustering of coral reef bioacoustics. The Journal of the Acoustical Society of America. 149(4). 2587–2601. 28 indexed citations

6.

Gerstoft, Peter, et al.. (2021). Machine learning for acoustic source localization in room and ocean acoustics. The Journal of the Acoustical Society of America. 150(4_Supplement). A112–A112. 1 indexed citations

7.

Ozanich, Emma, Aaron M. Thode, Peter Gerstoft, Lauren A. Freeman, & Simon E. Freeman. (2021). Deep embedded clustering of coral reef bioacoustics. The Journal of the Acoustical Society of America. 149(4_Supplement). A113–A113.

8.

Niu, Haiqiang, Peter Gerstoft, Emma Ozanich, et al.. (2020). Block sparse Bayesian learning for broadband mode extraction in shallow water from a vertical array. The Journal of the Acoustical Society of America. 147(6). 3729–3739. 33 indexed citations

9.

Ozanich, Emma, Peter Gerstoft, & Haiqiang Niu. (2020). A feedforward neural network for direction-of-arrival estimation. The Journal of the Acoustical Society of America. 147(3). 2035–2048. 99 indexed citations

10.

Ozanich, Emma, Aaron M. Thode, Peter Gerstoft, Simon E. Freeman, & Lauren A. Freeman. (2020). Unsupervised clustering of coral reef fish calls. The Journal of the Acoustical Society of America. 148(4_Supplement). 2729–2729. 1 indexed citations

11.

Bianco, Michael J., Peter Gerstoft, James Traer, et al.. (2019). Machine learning in acoustics: a review.. arXiv (Cornell University). 3 indexed citations

12.

Ozanich, Emma, Peter Gerstoft, & Haiqiang Niu. (2019). A Deep Network for Single-Snapshot Direction of Arrival Estimation. 1–6. 12 indexed citations

13.

Niu, Haiqiang, et al.. (2019). Ocean source localization with multi-frequency deep learning in uncertain environments. The Journal of the Acoustical Society of America. 146(4_Supplement). 2962–2962. 1 indexed citations

14.

Niu, Haiqiang, et al.. (2019). Deep-learning source localization using multi-frequency magnitude-only data. The Journal of the Acoustical Society of America. 146(1). 211–222. 114 indexed citations

15.

Niu, Haiqiang, et al.. (2018). Big data based ocean acoustic source localization via deep learning. The Journal of the Acoustical Society of America. 144(3_Supplement). 1729–1730. 1 indexed citations

16.

Ozanich, Emma, Peter Gerstoft, Peter F. Worcester, Matthew A. Dzieciuch, & Aaron M. Thode. (2017). Eastern Arctic ambient noise on a drifting vertical array. The Journal of the Acoustical Society of America. 142(4). 1997–2006. 18 indexed citations

17.

Niu, Haiqiang, Emma Ozanich, & Peter Gerstoft. (2017). Ship localization in Santa Barbara Channel using machine learning classifiers. The Journal of the Acoustical Society of America. 142(5). EL455–EL460. 127 indexed citations

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.

Explore authors with similar magnitude of impact