Virginia Smith

12 papers and 361 indexed citations
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About

Virginia Smith is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Virginia Smith has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computational Mechanics and 2 papers in Computer Networks and Communications. Recurrent topics in Virginia Smith’s work include Stochastic Gradient Optimization Techniques (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Sparse and Compressive Sensing Techniques (3 papers). Virginia Smith is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Sparse and Compressive Sensing Techniques (3 papers). Virginia Smith collaborates with scholars based in United States, Israel and Switzerland. Virginia Smith's co-authors include Martin Jaggi, Michael I. Jordan, Martin Takáč, Maziar Sanjabi, Tian Li, Chenxin Ma, Ameet Talwalkar, Manzil Zaheer, Anit Kumar Sahu and Jakub Konečný and has published in prestigious journals such as Neurology, Environmental Modelling & Software and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Virginia Smith

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

Fields of papers citing papers by Virginia Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Virginia Smith

Since Specialization
Citations

This map shows the geographic impact of Virginia Smith'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 Virginia Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Smith 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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2026