Frances Ann Hubis

2 papers and 76 indexed citations i.

About

Frances Ann Hubis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Frances Ann Hubis has authored 2 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Frances Ann Hubis’s work include Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Combinatorial Optimization and Complexity Theory (1 paper). Frances Ann Hubis is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Combinatorial Optimization and Complexity Theory (1 paper). Frances Ann Hubis collaborates with scholars based in Switzerland, United States and China. Frances Ann Hubis's co-authors include Ce Zhang, Costas J. Spanos, Dawn Song, Nezihe Merve Gürel, Bo Li, Boxin Wang, Ruoxi Jia, Cédric Renggli, Bojan Karlaš and Kevin Schawinski and has published in prestigious journals such as Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Frances Ann Hubis i

Fields of papers citing papers by Frances Ann Hubis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances Ann Hubis. 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 Frances Ann Hubis. The network helps show where Frances Ann Hubis may publish in the future.

Countries citing papers authored by Frances Ann Hubis

Since Specialization
Citations

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