Francesco Croce

1.4k total citations
12 papers, 159 citations indexed

About

Francesco Croce is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Francesco Croce has authored 12 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Francesco Croce's work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Neural Network Applications (2 papers). Francesco Croce is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Neural Network Applications (2 papers). Francesco Croce collaborates with scholars based in Germany, Italy and Austria. Francesco Croce's co-authors include Matthias Hein, Maksym Andriushchenko, Nicolas Flammarion, Andrea Morini, S. Massucco, B. Delfino, F. Silvestro, Evan Shelhamer, Mauro Ciccariello and Sven Gowal and has published in prestigious journals such as Urology, arXiv (Cornell University) and CINECA IRIS Institutial Research Information System (University of Genoa).

In The Last Decade

Francesco Croce

8 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Croce Germany 6 126 38 28 20 13 12 159
Yutaro Yamada Japan 5 152 1.2× 54 1.4× 23 0.8× 26 1.3× 8 0.6× 9 197
Jonathan Uesato United States 6 148 1.2× 43 1.1× 20 0.7× 13 0.7× 6 0.5× 7 170
Tan M. Nguyen United States 7 110 0.9× 70 1.8× 22 0.8× 7 0.3× 5 0.4× 18 174
Kai Xiao United States 4 119 0.9× 34 0.9× 29 1.0× 6 0.3× 19 1.5× 5 141
Jinmian Ye China 6 91 0.7× 79 2.1× 17 0.6× 7 0.3× 7 0.5× 7 160
Martin Ågren Sweden 7 120 1.0× 82 2.2× 16 0.6× 7 0.3× 4 0.3× 12 188
Yinchong Yang Germany 5 65 0.5× 40 1.1× 12 0.4× 7 0.3× 6 0.5× 5 142
Philipp Seidl Austria 4 79 0.6× 33 0.9× 14 0.5× 26 1.3× 7 0.5× 8 157
Vikash Sehwag United States 5 76 0.6× 33 0.9× 11 0.4× 8 0.4× 3 0.2× 12 109

Countries citing papers authored by Francesco Croce

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Croce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Croce

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Croce. A scholar is included among the top collaborators of Francesco Croce 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 Francesco Croce. Francesco Croce 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.
Andriushchenko, Maksym, Francesco Croce, Edgar Dobriban, et al.. (2024). JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. 55005–55029.
2.
3.
Croce, Francesco, Sylvestre-Alvise Rebuffi, Evan Shelhamer, & Sven Gowal. (2023). Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. 12313–12323. 2 indexed citations
4.
Croce, Francesco, et al.. (2022). Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6437–6445. 38 indexed citations
5.
Croce, Francesco & Matthias Hein. (2020). Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. International Conference on Machine Learning. 1. 2196–2205. 22 indexed citations
6.
Croce, Francesco & Matthias Hein. (2020). Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. International Conference on Machine Learning. 1. 2206–2216. 52 indexed citations
7.
Croce, Francesco, Maksym Andriushchenko, & Matthias Hein. (2018). Provable Robustness of ReLU networks via Maximization of Linear Regions. arXiv (Cornell University). 2057–2066. 19 indexed citations
8.
D’Alessandro, Antonino, Salvatore Scudero, Giovanni Vitale, et al.. (2017). Low-cost Remotely Operated Underwater and Unmanned Aerial vehicles: new technologies for ar-chaeo-geophysics. Nova Science Publishers (Nova Science Publishers, Inc.). 384–386. 2 indexed citations
9.
Ciccariello, Mauro, et al.. (2011). Paraurethral Leiomyoma. Urology. 79(4). e51–e52. 8 indexed citations
10.
Davies, Kevin L., et al.. (2004). Automated Ground Control System Operations for RADARSAT-2. 1 indexed citations
12.
Delfino, B., et al.. (2002). Operation and management of the electric system for industrial plants: an expert system prototype for load-shedding operator assistance. CINECA IRIS Institutial Research Information System (University of Genoa). 5. 3260–3267. 15 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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