Deanna Needell

116 papers and 6.0k indexed citations i.

About

Deanna Needell is a scholar working on Computational Mechanics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Deanna Needell has authored 116 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computational Mechanics, 49 papers in Artificial Intelligence and 27 papers in Biomedical Engineering. Recurrent topics in Deanna Needell’s work include Sparse and Compressive Sensing Techniques (79 papers), Stochastic Gradient Optimization Techniques (30 papers) and Blind Source Separation Techniques (21 papers). Deanna Needell is often cited by papers focused on Sparse and Compressive Sensing Techniques (79 papers), Stochastic Gradient Optimization Techniques (30 papers) and Blind Source Separation Techniques (21 papers). Deanna Needell collaborates with scholars based in United States, Canada and Israel. Deanna Needell's co-authors include Joel A. Tropp, Roman Vershynin, Rachel Ward, Yonina C. Eldar, Emmanuel J. Candès, Nathan Srebro, Anna Ma, Aaditya Ramdas, Yaniv Plan and Mark A. Davenport and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Deanna Needell i

Fields of papers citing papers by Deanna Needell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deanna Needell

Since Specialization
Citations

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

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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