Rachel Ward

72 papers and 1.9k indexed citations i.

About

Rachel Ward is a scholar working on Computational Mechanics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Rachel Ward has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 20 papers in Artificial Intelligence and 18 papers in Biomedical Engineering. Recurrent topics in Rachel Ward’s work include Sparse and Compressive Sensing Techniques (42 papers), Stochastic Gradient Optimization Techniques (13 papers) and Microwave Imaging and Scattering Analysis (13 papers). Rachel Ward is often cited by papers focused on Sparse and Compressive Sensing Techniques (42 papers), Stochastic Gradient Optimization Techniques (13 papers) and Microwave Imaging and Scattering Analysis (13 papers). Rachel Ward collaborates with scholars based in United States, Germany and United Kingdom. Rachel Ward's co-authors include Deanna Needell, Felix Krahmer, Holger Rauhut, Giang Tran, Nathan Srebro, Massimo Fornasier, Hayden Schaeffer, Rayan Saab, Sujay Sanghavi and Xiaoxia Wu and has published in prestigious journals such as Cancer Research, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Rachel Ward i

Fields of papers citing papers by Rachel Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rachel Ward

Since Specialization
Citations

This map shows the geographic impact of Rachel Ward'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 Rachel Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Ward 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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2025