Nicolas Gama

3.7k total citations · 1 hit paper
12 papers, 581 citations indexed

About

Nicolas Gama is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Nicolas Gama has authored 12 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 1 paper in Information Systems. Recurrent topics in Nicolas Gama's work include Cryptography and Data Security (9 papers), Coding theory and cryptography (5 papers) and Complexity and Algorithms in Graphs (5 papers). Nicolas Gama is often cited by papers focused on Cryptography and Data Security (9 papers), Coding theory and cryptography (5 papers) and Complexity and Algorithms in Graphs (5 papers). Nicolas Gama collaborates with scholars based in France, Switzerland and United States. Nicolas Gama's co-authors include Mariya Georgieva, Ilaria Chillotti, Malika Izabachène, Phong Q. Nguyễn, Dimitar Jetchev, Christina Boura, Sergiu Carpov, Juan Ramón Troncoso-Pastoriza, Anja Becker and Antoine Joux and has published in prestigious journals such as BMC Medical Genomics, Journal of Cryptology and LMS Journal of Computation and Mathematics.

In The Last Decade

Nicolas Gama

10 papers receiving 551 citations

Hit Papers

TFHE: Fast Fully Homomorphic Encryption Over the Torus 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Gama France 8 519 164 153 74 73 12 581
Mariya Georgieva Switzerland 4 463 0.9× 125 0.8× 139 0.9× 61 0.8× 71 1.0× 5 510
Ilaria Chillotti France 5 423 0.8× 115 0.7× 130 0.8× 57 0.8× 63 0.9× 8 476
Malika Izabachène France 2 394 0.8× 107 0.7× 128 0.8× 54 0.7× 57 0.8× 4 434
Gil Segev Israel 13 444 0.9× 156 1.0× 96 0.6× 114 1.5× 80 1.1× 38 509
Carmit Hazay Israel 15 688 1.3× 206 1.3× 250 1.6× 103 1.4× 101 1.4× 45 773
Craig Costello United States 7 440 0.8× 66 0.4× 220 1.4× 101 1.4× 100 1.4× 18 504
Viet Tung Hoang United States 7 374 0.7× 115 0.7× 70 0.5× 44 0.6× 42 0.6× 13 404
Daniel Wichs United States 14 608 1.2× 197 1.2× 205 1.3× 68 0.9× 98 1.3× 31 651
Lior Malka United States 5 434 0.8× 92 0.6× 126 0.8× 52 0.7× 81 1.1× 8 503
Fanyu Kong China 12 283 0.5× 59 0.4× 188 1.2× 76 1.0× 64 0.9× 71 380

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).

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.

Co-authorship network of co-authors of Nicolas Gama

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

All Works

12 of 12 papers shown
1.
Carpov, Sergiu, et al.. (2023). Manticore: A Framework for Efficient Multiparty Computation Supporting Real Number and Boolean Arithmetic. Journal of Cryptology. 36(3). 1 indexed citations
3.
Gama, Nicolas, et al.. (2022). XORBoost: Tree Boosting in the Multiparty Computation Setting. Proceedings on Privacy Enhancing Technologies. 2022(4). 66–85. 7 indexed citations
4.
Boura, Christina, Nicolas Gama, Mariya Georgieva, & Dimitar Jetchev. (2020). CHIMERA: Combining Ring-LWE-based Fully Homomorphic Encryption Schemes. Journal of Mathematical Cryptology. 14(1). 316–338. 52 indexed citations
5.
Carpov, Sergiu, Nicolas Gama, Mariya Georgieva, & Juan Ramón Troncoso-Pastoriza. (2020). Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption. BMC Medical Genomics. 13(S7). 88–88. 25 indexed citations
6.
Troncoso-Pastoriza, Juan Ramón, et al.. (2020). Multiquadratic Rings and Walsh-Hadamard Transforms for Oblivious Linear Function Evaluation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 3 indexed citations
7.
Chillotti, Ilaria, Nicolas Gama, Mariya Georgieva, & Malika Izabachène. (2019). TFHE: Fast Fully Homomorphic Encryption Over the Torus. Journal of Cryptology. 33(1). 34–91. 423 indexed citations breakdown →
8.
Laine, Kim, Wei Dai, Nicolas Gama, et al.. (2018). Building Applications with Homomorphic Encryption. 2160–2162. 8 indexed citations
9.
Becker, Anja, Nicolas Gama, & Antoine Joux. (2014). A sieve algorithm based on overlattices. LMS Journal of Computation and Mathematics. 17(A). 49–70. 17 indexed citations
10.
Vuillemin, Jean & Nicolas Gama. (2010). Efficient Equivalence and Minimization for Non Deterministic Xor Automata. HAL (Le Centre pour la Communication Scientifique Directe). 25. 4 indexed citations
11.
Gama, Nicolas & Phong Q. Nguyễn. (2008). Finding short lattice vectors within mordell's inequality. 207–216. 34 indexed citations
12.
Caromel, Denis, et al.. (2004). A parallel object-oriented application for 3D electromagnetism. 2331. 7–16. 7 indexed citations

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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