Nicolas Gailly

2.8k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Nicolas Gailly is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nicolas Gailly has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Nicolas Gailly's work include Blockchain Technology Applications and Security (4 papers), Peer-to-Peer Network Technologies (2 papers) and Cryptography and Data Security (2 papers). Nicolas Gailly is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Peer-to-Peer Network Technologies (2 papers) and Cryptography and Data Security (2 papers). Nicolas Gailly collaborates with scholars based in Switzerland, United States and France. Nicolas Gailly's co-authors include Bryan Ford, Philipp Jovanovic, Linus Gasser, Ewa Syta, Eleftherios Kokoris-Kogias, Ismail Khoffi, Michael J. Fischer, David Isaac Wolinsky, M. J. G. Borge and Justin Cappos and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Décisions Marketing.

In The Last Decade

Nicolas Gailly

9 papers receiving 959 citations

Hit Papers

OmniLedger: A Secure, Scale-Out, Decentralized Ledger via... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Gailly Switzerland 6 890 637 326 48 45 9 1.0k
Linus Gasser Switzerland 7 905 1.0× 646 1.0× 338 1.0× 50 1.0× 45 1.0× 9 1.0k
Ewa Syta United States 9 894 1.0× 617 1.0× 351 1.1× 51 1.1× 42 0.9× 17 1.0k
Eleftherios Kokoris-Kogias Switzerland 6 697 0.8× 519 0.8× 213 0.7× 44 0.9× 38 0.8× 7 772
Marko Vukolić Switzerland 19 732 0.8× 912 1.4× 289 0.9× 72 1.5× 43 1.0× 50 1.2k
Philipp Jovanovic Switzerland 12 931 1.0× 684 1.1× 448 1.4× 91 1.9× 45 1.0× 28 1.2k
Georgios Vlachos United States 2 702 0.8× 487 0.8× 291 0.9× 46 1.0× 27 0.6× 3 784
Jiangshan Yu Australia 15 617 0.7× 461 0.7× 314 1.0× 52 1.1× 38 0.8× 57 822
Dumitrel Loghin Singapore 11 575 0.6× 515 0.8× 182 0.6× 94 2.0× 32 0.7× 27 780
Chaodong Zheng China 4 752 0.8× 566 0.9× 202 0.6× 52 1.1× 56 1.2× 12 822
Qian Lin China 14 706 0.8× 603 0.9× 228 0.7× 58 1.2× 33 0.7× 49 973

Countries citing papers authored by Nicolas Gailly

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Gailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Gailly

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

All Works

9 of 9 papers shown
1.
Papamanthou, Charalampos, et al.. (2024). Reckle Trees: Updatable Merkle Batch Proofs with Applications. 1538–1551. 2 indexed citations
2.
Kokoris-Kogias, Eleftherios, Philipp Jovanovic, Linus Gasser, et al.. (2018). OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 583–598. 644 indexed citations breakdown →
3.
Kokoris-Kogias, Eleftherios, Philipp Jovanovic, Nicolas Gailly, et al.. (2017). CHAINIAC: Proactive Software-Update Transparency via Collectively Signed Skipchains and Verified Builds. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2017. 1271–1287. 30 indexed citations
4.
Syta, Ewa, Philipp Jovanovic, Nicolas Gailly, et al.. (2017). Scalable Bias-Resistant Distributed Randomness. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 444–460. 135 indexed citations
5.
Borge, M. J. G., Eleftherios Kokoris-Kogias, Philipp Jovanovic, et al.. (2017). Proof-of-Personhood: Redemocratizing Permissionless Cryptocurrencies. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 23–26. 40 indexed citations
6.
Syta, Ewa, David Isaac Wolinsky, Philipp Jovanovic, et al.. (2016). Keeping Authorities âHonest or Bustâ with Decentralized Witness Cosigning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 133 indexed citations
7.
Jovanovic, Philipp, et al.. (2016). Bitcoin Meets Collective Signing. 1 indexed citations
8.
Kokoris-Kogias, Lefteris, Linus Gasser, Ismail Khoffi, et al.. (2016). Managing Identities Using Blockchains and CoSi. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15 indexed citations
9.
Gailly, Nicolas, et al.. (2010). Pourquoi et comment innover dans un secteur traditionnel comme le vin ?. Décisions Marketing. N° 60(4). 73–76. 1 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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