Francesco Ferroni

599 total citations
16 papers, 418 citations indexed

About

Francesco Ferroni is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Francesco Ferroni has authored 16 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Mechanics of Materials. Recurrent topics in Francesco Ferroni's work include Fusion materials and technologies (8 papers), Nuclear Materials and Properties (7 papers) and Advanced Vision and Imaging (4 papers). Francesco Ferroni is often cited by papers focused on Fusion materials and technologies (8 papers), Nuclear Materials and Properties (7 papers) and Advanced Vision and Imaging (4 papers). Francesco Ferroni collaborates with scholars based in United Kingdom, United States and Japan. Francesco Ferroni's co-authors include S. P. Fitzgerald, Xiaoou Yi, Kazuto Arakawa, Steve Roberts, Philip D. Edmondson, Karl D. Hammond, Brian D. Wirth, Deva Ramanan, Jason Zhang and Haithem Turki and has published in prestigious journals such as Acta Materialia, Journal of Computational Physics and Journal of Nuclear Materials.

In The Last Decade

Francesco Ferroni

16 papers receiving 407 citations

Peers

Francesco Ferroni
Chao Tan China
Coleman Alleman United States
Shih-Hsi Tong United States
Arezoo Emdadi United States
Wing-Kam Liu United States
Francesco Ferroni
Citations per year, relative to Francesco Ferroni Francesco Ferroni (= 1×) peers Lars Benckert

Countries citing papers authored by Francesco Ferroni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Ferroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Ferroni

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

All Works

16 of 16 papers shown
1.
Ferroni, Francesco, et al.. (2023). Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. 17514–17523. 4 indexed citations
2.
Ferroni, Francesco, et al.. (2023). Far3Det: Towards Far-Field 3D Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 692–701. 2 indexed citations
3.
Agarwalla, Abhinav, Xuhua Huang, Jason Ziglar, et al.. (2023). Lidar Panoptic Segmentation and Tracking without Bells and Whistles. 3 indexed citations
4.
Turki, Haithem, Jason Zhang, Francesco Ferroni, & Deva Ramanan. (2023). SUDS: Scalable Urban Dynamic Scenes. 12375–12385. 49 indexed citations
5.
Li, Xue-Qian, et al.. (2023). Fast Neural Scene Flow. 9844–9856. 11 indexed citations
6.
Ferroni, Francesco, et al.. (2023). Learning to Zoom and Unzoom. 5086–5095. 3 indexed citations
7.
Yi, Xiaoou, et al.. (2020). Defect Production, Evolution, and Thermal Recovery Mechanisms in Radiation Damaged Tungsten. Acta Metallurgica Sinica. 57(3). 257–271. 9 indexed citations
8.
Yi, Xiaoou, Kazuto Arakawa, Francesco Ferroni, et al.. (2018). High-temperature damage evolution in 10 keV He+ irradiated W and W-5Re. Materials Characterization. 145. 77–86. 16 indexed citations
9.
Yi, Xiaoou, Kazuto Arakawa, Francesco Ferroni, et al.. (2018). High-temperature defect recovery in self-ion irradiated W-5 wt% Ta. Nuclear Materials and Energy. 18. 93–98. 13 indexed citations
10.
Yi, Xiaoou, Kazuto Arakawa, D. Nguyen-Manh, et al.. (2017). A study of helium bubble production in 10 keV He+ irradiated tungsten. Fusion Engineering and Design. 125. 454–457. 24 indexed citations
11.
Hammond, Karl D., Francesco Ferroni, & Brian D. Wirth. (2016). Simulation of Helium Behavior Near Subsurface Prismatic Dislocation Loops in Tungsten. Fusion Science & Technology. 71(1). 7–21. 23 indexed citations
12.
Ferroni, Francesco, Xiaoou Yi, Kazuto Arakawa, et al.. (2015). High temperature annealing of ion irradiated tungsten. Acta Materialia. 90. 380–393. 175 indexed citations
13.
Ferroni, Francesco, Edmund Tarleton, & S. P. Fitzgerald. (2014). GPU accelerated dislocation dynamics. Journal of Computational Physics. 272. 619–628. 8 indexed citations
14.
Ferroni, Francesco, Karl D. Hammond, & Brian D. Wirth. (2014). Sputtering yields of pure and helium-implanted tungsten under fusion-relevant conditions calculated using molecular dynamics. Journal of Nuclear Materials. 458. 419–424. 36 indexed citations
15.
Ferroni, Francesco, Edmund Tarleton, & S. P. Fitzgerald. (2014). Dislocation dynamics modelling of radiation damage in thin films. Modelling and Simulation in Materials Science and Engineering. 22(4). 45009–45009. 14 indexed citations
16.
Ferroni, Francesco, et al.. (2011). Experimental evaluation of a novel steerable probe with a programmable bevel tip inspired by nature. Journal of Robotic Surgery. 6(3). 189–197. 28 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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