Nicolas Gama

10 papers and 345 indexed citations i.

About

Nicolas Gama is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicolas Gama has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicolas Gama’s work include Cryptography and Data Security (7 papers), Combinatorial Optimization and Complexity Theory (5 papers) and Coding theory and cryptography (3 papers). Nicolas Gama is often cited by papers focused on Cryptography and Data Security (7 papers), Combinatorial Optimization and Complexity Theory (5 papers) and Coding theory and cryptography (3 papers). Nicolas Gama collaborates with scholars based in France, Switzerland and United States. Nicolas Gama's co-authors include Mariya Georgieva, Malika Izabachène, Ilaria Chillotti, Anja Becker, Thijs Laarhoven, Léo Ducas, Christina Boura, Dimitar Jetchev, Sergiu Carpov and Juan Ramón Troncoso-Pastoriza and has published in prestigious journals such as BMC Medical Genomics, Journal of Cryptology and Mathematics.

In The Last Decade

Co-authorship network of co-authors of Nicolas Gama i

Fields of papers citing papers by Nicolas Gama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nicolas Gama

Since Specialization
Citations

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