S. Audoly

1.4k total citations
17 papers, 939 citations indexed

About

S. Audoly is a scholar working on Control and Systems Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, S. Audoly has authored 17 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 7 papers in Molecular Biology and 2 papers in Computational Theory and Mathematics. Recurrent topics in S. Audoly's work include Advanced Control Systems Optimization (8 papers), Control Systems and Identification (8 papers) and Gene Regulatory Network Analysis (6 papers). S. Audoly is often cited by papers focused on Advanced Control Systems Optimization (8 papers), Control Systems and Identification (8 papers) and Gene Regulatory Network Analysis (6 papers). S. Audoly collaborates with scholars based in Italy and France. S. Audoly's co-authors include Maria Pia Saccomani, G. Bellu, Leontina D’Angiò, L. D’Angiò, Claudio Cobelli, J. Delforge and Jacques Delforge and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Biomedical Engineering.

In The Last Decade

S. Audoly

17 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Audoly Italy 9 356 246 104 96 80 17 939
Michael J. Chappell United Kingdom 21 567 1.6× 274 1.1× 142 1.4× 143 1.5× 114 1.4× 101 1.6k
G. Bellu Italy 7 251 0.7× 150 0.6× 67 0.6× 76 0.8× 66 0.8× 9 643
Neil D. Evans United Kingdom 21 647 1.8× 123 0.5× 105 1.0× 130 1.4× 90 1.1× 97 1.5k
Leontina D’Angiò Italy 4 213 0.6× 129 0.5× 55 0.5× 65 0.7× 48 0.6× 6 528
Jasmin Bachmann Germany 4 467 1.3× 100 0.4× 75 0.7× 123 1.3× 89 1.1× 6 1.0k
L. D’Angiò Italy 7 146 0.4× 120 0.5× 51 0.5× 32 0.3× 32 0.4× 11 418
Jihong Shen China 22 545 1.5× 131 0.5× 53 0.5× 52 0.5× 79 1.0× 149 1.5k
Lucia Russo Italy 18 161 0.5× 104 0.4× 27 0.3× 194 2.0× 42 0.5× 75 1.1k
Eric L. Haseltine United States 15 651 1.8× 307 1.2× 51 0.5× 51 0.5× 252 3.1× 23 1.4k
Christoph Walker Germany 16 98 0.3× 102 0.4× 170 1.6× 236 2.5× 50 0.6× 78 933

Countries citing papers authored by S. Audoly

Since Specialization
Citations

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

Fields of papers citing papers by S. Audoly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Audoly

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

All Works

17 of 17 papers shown
1.
Saccomani, Maria Pia, S. Audoly, G. Bellu, & Leontina D’Angiò. (2010). Examples of testing global identifiability of biological and biomedical models with the DAISY software. Computers in Biology and Medicine. 40(4). 402–407. 37 indexed citations
2.
Bellu, G., Maria Pia Saccomani, S. Audoly, & Leontina D’Angiò. (2007). DAISY: A new software tool to test global identifiability of biological and physiological systems. Computer Methods and Programs in Biomedicine. 88(1). 52–61. 316 indexed citations
3.
Saccomani, Maria Pia, S. Audoly, & Leontina D’Angiò. (2003). Parameter identifiability of nonlinear systems: the role of initial conditions. Automatica. 39(4). 619–632. 160 indexed citations
4.
Saccomani, Maria Pia, S. Audoly, G. Bellu, & L. D’Angiò. (2003). A new differential algebra algorithm to test identifiability of nonlinear systems with given initial conditions. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 3108–3113. 28 indexed citations
5.
Audoly, S., G. Bellu, L. D’Angiò, Maria Pia Saccomani, & Claudio Cobelli. (2001). Global identifiability of nonlinear models of biological systems. IEEE Transactions on Biomedical Engineering. 48(1). 55–65. 230 indexed citations
6.
Audoly, S., L. D’Angiò, Maria Pia Saccomani, & Claudio Cobelli. (1998). Global identifiability of linear compartmental models-a computer algebra algorithm. IEEE Transactions on Biomedical Engineering. 45(1). 36–47. 93 indexed citations
7.
Saccomani, Maria Pia, S. Audoly, G. Bellu, Leontina D’Angiò, & Claudio Cobelli. (1997). Global Identifiability of Nonlinear Model Parameters. IFAC Proceedings Volumes. 30(11). 233–238. 9 indexed citations
8.
D’Angiò, Leontina, Maria Pia Saccomani, S. Audoly, G. Bellu, & Claudio Cobelli. (1997). A New Algorithm to Test Global Identifiability of Physiological Nonlinear Models. IFAC Proceedings Volumes. 30(2). 259–264. 3 indexed citations
9.
Saccomani, Maria Pia, et al.. (1994). Pride: A Program to Test a Priori Global Identifiability of Linear Compartmental Models. IFAC Proceedings Volumes. 27(8). 989–994. 8 indexed citations
10.
D’Angiò, L., G. Bellu, S. Audoly, Maria Pia Saccomani, & Claudio Cobelli. (1994). Structural Identifiability of Nonlinear Systems: Algorithms Based on Differential Ideals. IFAC Proceedings Volumes. 27(8). 977–982. 7 indexed citations
11.
Saccomani, Maria Pia, et al.. (1992). An automatized topological method to test a priori global identifiability of a class of compartmental models. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 239. 2282–2283. 1 indexed citations
12.
Audoly, S., et al.. (1991). Procedures to investigate injectivity of polynomial maps and to compute the inverse. Applicable Algebra in Engineering Communication and Computing. 2(2). 91–103. 3 indexed citations
13.
Delforge, J., L. D’Angiò, & S. Audoly. (1986). On the use of the norm-coerciveness theorem in the identifiability problem of linear compartmental models. IEEE Transactions on Automatic Control. 31(6). 573–576. 3 indexed citations
14.
Audoly, S., et al.. (1985). Thermo-mechanic coupling in dynamic plasticity during uniaxial tests. Engineering Fracture Mechanics. 21(4). 653–661. 1 indexed citations
15.
Delforge, J., L. D’Angiò, & S. Audoly. (1985). Results and Conjectures on the Global Identifiability of Linear Systems. IFAC Proceedings Volumes. 18(5). 517–522. 5 indexed citations
16.
Delforge, Jacques, et al.. (1983). A relation between certain transfer functions and their application to the identifiability of linear models. International Journal of Control. 38(6). 1181–1188. 4 indexed citations
17.
Audoly, S. & L. D’Angiò. (1983). On the identifiability of linear compartmental systems: a revisited transfer function approach based on topological properties. Mathematical Biosciences. 66(2). 201–228. 31 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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