Nadime Francis

5 papers and 184 indexed citations i.

About

Nadime Francis is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nadime Francis has authored 5 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Nadime Francis’s work include Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (4 papers) and Algorithms and Data Compression (2 papers). Nadime Francis is often cited by papers focused on Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (4 papers) and Algorithms and Data Compression (2 papers). Nadime Francis collaborates with scholars based in France, United States and Germany. Nadime Francis's co-authors include Victor Marsault, Tobias Lindaaker, Stefan Plantikow, Alastair Green, Leonid Libkin, Petra Selmer, Paolo Guagliardo, Mingxi Wu, Oskar van Rest and Alin Deutsch and has published in prestigious journals such as Theory of Computing Systems, Logical Methods in Computer Science and Proceedings of the 2022 International Conference on Management of Data.

In The Last Decade

Co-authorship network of co-authors of Nadime Francis i

Fields of papers citing papers by Nadime Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadime Francis

Since Specialization
Citations

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