Virginia Smith

14 papers and 1.2k indexed citations i.

About

Virginia Smith is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Virginia Smith has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 2 papers in Computer Networks and Communications. Recurrent topics in Virginia Smith’s work include Privacy-Preserving Technologies in Data (7 papers), Stochastic Gradient Optimization Techniques (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Virginia Smith is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Stochastic Gradient Optimization Techniques (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). Virginia Smith collaborates with scholars based in United States, Israel and United Kingdom. Virginia Smith's co-authors include Tian Li, Ameet Talwalkar, Anit Kumar Sahu, Maziar Sanjabi, Michael I. Jordan, Martin Jaggi, Chenxin Ma, Martin Takáč, Ahmad Beirami and Manzil Zaheer and has published in prestigious journals such as Neurology, IEEE Signal Processing Magazine and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Virginia Smith i

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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