Fabio Ancona

865 total citations
52 papers, 450 citations indexed

About

Fabio Ancona is a scholar working on Applied Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fabio Ancona has authored 52 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Applied Mathematics, 22 papers in Control and Systems Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Fabio Ancona's work include Navier-Stokes equation solutions (24 papers), Stability and Controllability of Differential Equations (16 papers) and Neural Networks and Applications (14 papers). Fabio Ancona is often cited by papers focused on Navier-Stokes equation solutions (24 papers), Stability and Controllability of Differential Equations (16 papers) and Neural Networks and Applications (14 papers). Fabio Ancona collaborates with scholars based in Italy, United States and France. Fabio Ancona's co-authors include Andrea Marson, Alberto Bressan, Giuseppe Maria Coclite, Rodolfo Zunino, Stefano Rovetta, Paola Goatin, A.M. Colla, Khai T. Nguyen, Olivier Glass and Alessio Porretta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Communications on Pure and Applied Mathematics.

In The Last Decade

Fabio Ancona

46 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Ancona Italy 12 252 194 118 89 41 52 450
Vadim Adamjan Ukraine 5 174 0.7× 141 0.7× 119 1.0× 51 0.6× 15 0.4× 8 483
В. И. Максимов Russia 12 276 1.1× 120 0.6× 151 1.3× 28 0.3× 18 0.4× 148 529
Andrey Sarychev Russia 13 168 0.7× 159 0.8× 76 0.6× 17 0.2× 11 0.3× 38 471
Svetlin G. Georgiev Bulgaria 10 82 0.3× 293 1.5× 69 0.6× 18 0.2× 13 0.3× 87 446
J. J. Swetits United States 11 85 0.3× 153 0.8× 62 0.5× 81 0.9× 28 0.7× 41 458
Behrouz Parsa Moghaddam Iran 23 285 1.1× 340 1.8× 25 0.2× 38 0.4× 23 0.6× 58 1.3k
D. Kershaw United Kingdom 9 45 0.2× 171 0.9× 32 0.3× 129 1.4× 19 0.5× 20 446
Shin-ichi Nakagiri Japan 11 293 1.2× 152 0.8× 168 1.4× 28 0.3× 13 0.3× 66 528
Paola Loreti Italy 17 321 1.3× 163 0.8× 390 3.3× 36 0.4× 35 0.9× 86 802

Countries citing papers authored by Fabio Ancona

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Ancona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Ancona

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

All Works

20 of 20 papers shown
1.
Ancona, Fabio, et al.. (2024). Intermediate domains for scalar conservation laws. Journal of Differential Equations. 422. 215–250.
2.
Ancona, Fabio, Stefano Bianchini, Alberto Bressan, Rinaldo M. Colombo, & Khai T. Nguyen. (2023). Examples and conjectures on the regularity of solutions to balance laws. Quarterly of Applied Mathematics. 81(3). 433–454. 2 indexed citations
3.
Ancona, Fabio, Olivier Glass, & Khai T. Nguyen. (2018). On Kolmogorov entropy compactness estimates for scalar conservation laws\n without uniform convexity. arXiv (Cornell University). 2 indexed citations
4.
Ancona, Fabio, Alberto Bressan, Olivier Glass, & Wen Shen. (2017). Feedback Stabilization of Stem Growth. Journal of Dynamics and Differential Equations. 31(3). 1079–1106. 1 indexed citations
5.
Ancona, Fabio, Olivier Glass, & Khai T. Nguyen. (2014). On compactness estimates for hyperbolic systems of conservation laws. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 32(6). 1229–1257. 3 indexed citations
6.
Ancona, Fabio, Olivier Glass, & Khai T. Nguyen. (2012). Lower compactness estimates for scalar balance laws. Communications on Pure and Applied Mathematics. 65(9). 1303–1329. 10 indexed citations
7.
Ancona, Fabio, Alberto Bressan, Piermarco Cannarsa, Francis Clarke, & Peter R. Wolenski. (2008). Geometric Control And Nonsmooth Analysis. Research Padua Archive (University of Padua). 5 indexed citations
8.
Ancona, Fabio & Stefano Bianchini. (2006). VANISHING VISCOSITY SOLUTIONS OF HYPERBOLIC SYSTEMS OF CONSERVATION LAWS WITH BOUNDARY. 13–21. 5 indexed citations
9.
Ancona, Fabio & Andrea Marson. (2004). Well-posedness for general 2×2 systems of conservation laws. Memoirs of the American Mathematical Society. 169(801). 0–0. 11 indexed citations
10.
Ancona, Fabio, et al.. (2002). A vector quantization circuit for trainable neural networks. 2. 1131–1134.
11.
Ancona, Fabio, Stefano Rovetta, & Rodolfo Zunino. (2002). Parallel architectures for vector quantization. Proceedings of International Conference on Neural Networks (ICNN'97). 2. 899–903. 3 indexed citations
12.
Ancona, Fabio, et al.. (2002). High performance in tree-based parallel architectures. 1. 474–481. 1 indexed citations
13.
Ancona, Fabio, et al.. (2002). VLSI architectures for programmable sorting of analog quantities with multiple-chip support. 94–99. 1 indexed citations
14.
Ancona, Fabio & Andrea Marson. (2001). A Note on the Riemann Problem for General n×n Conservation Laws. Journal of Mathematical Analysis and Applications. 260(1). 279–293. 16 indexed citations
15.
Ancona, Fabio & Andrea Marson. (2001). A Wavefront Tracking Algorithm for N×N Nongenuinely Nonlinear Conservation Laws. Journal of Differential Equations. 177(2). 454–493. 13 indexed citations
16.
Ancona, Fabio, Stefano Rovetta, & Rodolfo Zunino. (1998). An Image-Recognition System Implemented On Hierarchical Parallel Architectures. International Journal of Pattern Recognition and Artificial Intelligence. 12(3). 293–310. 1 indexed citations
17.
Ancona, Fabio, A.M. Colla, Stefano Rovetta, & Rodolfo Zunino. (1997). Implementing probabilistic Neural Networks. Neural Computing and Applications. 5(3). 152–159. 26 indexed citations
18.
Ancona, Fabio, Stefano Rovetta, & Rodolfo Zunino. (1996). Analog Implementation of Vector Quantization. CINECA IRIS Institutial Research Information System (University of Genoa). 97–105. 2 indexed citations
19.
Ancona, Fabio, Stefano Rovetta, & Rodolfo Zunino. (1996). Hardware Architectures for Vector Quantization in Very Low Bit-Rate Image Coding. 106–116. 2 indexed citations
20.
Ancona, Fabio & Giovanni Colombo. (1990). Existence of solutions for a class of non-convex differential inclusions. Rendiconti del Seminario Matematico della Università di Padova. 3 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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