E. Mosca

5.0k total citations
202 papers, 3.6k citations indexed

About

E. Mosca is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, E. Mosca has authored 202 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in E. Mosca's work include Advanced Control Systems Optimization (116 papers), Control Systems and Identification (95 papers) and Fault Detection and Control Systems (65 papers). E. Mosca is often cited by papers focused on Advanced Control Systems Optimization (116 papers), Control Systems and Identification (95 papers) and Fault Detection and Control Systems (65 papers). E. Mosca collaborates with scholars based in Italy, United States and China. E. Mosca's co-authors include Alessandro Casavola, David Angeli, Alberto Bemporad, Jingxin Zhang, Giorgio Battistelli, Pietro Tesi, Cishen Zhang, G. Zappa, Zhisheng Duan and João M. Lemos and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.

In The Last Decade

E. Mosca

184 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Mosca Italy 30 3.1k 286 233 215 203 202 3.6k
Michel Fliesś France 26 2.2k 0.7× 151 0.5× 285 1.2× 130 0.6× 125 0.6× 98 2.8k
Tohru Katayama Japan 19 1.8k 0.6× 247 0.9× 127 0.5× 85 0.4× 124 0.6× 147 2.2k
H. Unbehauen Germany 26 2.7k 0.9× 500 1.7× 209 0.9× 96 0.4× 200 1.0× 170 3.1k
M.J. Grimble United Kingdom 34 3.8k 1.2× 651 2.3× 320 1.4× 425 2.0× 243 1.2× 406 4.7k
W. Wolovich United States 22 2.5k 0.8× 253 0.9× 171 0.7× 186 0.9× 117 0.6× 81 3.1k
Mehmet Önder Efe Türkiye 27 1.8k 0.6× 450 1.6× 260 1.1× 433 2.0× 237 1.2× 143 2.7k
Ali Khaki Sedigh Iran 23 1.6k 0.5× 407 1.4× 304 1.3× 153 0.7× 230 1.1× 240 2.4k
D.P. Atherton United Kingdom 30 3.5k 1.1× 444 1.6× 700 3.0× 252 1.2× 264 1.3× 213 4.3k
Edward W. Kamen United States 24 1.2k 0.4× 363 1.3× 197 0.8× 189 0.9× 355 1.7× 100 2.0k
Brett Ninness Australia 30 3.0k 1.0× 708 2.5× 300 1.3× 107 0.5× 145 0.7× 138 3.9k

Countries citing papers authored by E. Mosca

Since Specialization
Citations

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

Fields of papers citing papers by E. Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of E. Mosca. A scholar is included among the top collaborators of E. Mosca 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 E. Mosca. E. Mosca 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.
Mosca, E., et al.. (2023). Uncovering Trauma in Genocide Tribunals. 257–266. 2 indexed citations
2.
3.
Dementieva, Daryna, et al.. (2023). A Benchmark Dataset to Distinguish Human-Written and Machine-Generated Scientific Papers. Information. 14(10). 522–522. 8 indexed citations
4.
Mosca, E., et al.. (2023). IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models. 59–76. 4 indexed citations
5.
Servadei, Lorenzo, et al.. (2020). Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation. IEEE Transactions on Computers. 69(6). 856–867. 10 indexed citations
6.
Baldi, Simone, Pétros Ioannou, & E. Mosca. (2011). Multiple Model Adaptive Mixing Control: The Discrete-Time Case. IEEE Transactions on Automatic Control. 57(4). 1040–1045. 28 indexed citations
7.
Battistelli, Giorgio, E. Mosca, Michael G. Safonov, & Pietro Tesi. (2010). Stability of Unfalsified Adaptive Switching Control in Noisy Environments. IEEE Transactions on Automatic Control. 55(10). 2424–2429. 36 indexed citations
8.
9.
Duan, Zhisheng, Jingxin Zhang, Cishen Zhang, & E. Mosca. (2005). A simple design method of reduced-order filters and its applications to multirate filter bank design. Signal Processing. 86(5). 1061–1075. 13 indexed citations
10.
Zhang, Jingxin, Ran Yang, Cishen Zhang, & E. Mosca. (2004). Mixed H2/H-infinity design of IIR multirate filter banks subject to subband noises. Asian Control Conference. 2(3). 1324–606. 1 indexed citations
11.
Mosca, E., et al.. (2003). Controller falsification based on multiple models. International Journal of Adaptive Control and Signal Processing. 17(2). 163–177. 10 indexed citations
12.
Zhang, Cishen, et al.. (2002). Signal reconstruction in practical multirate filter banks. Swinburne Research Bank (Swinburne University of Technology). 1963. 4 indexed citations
13.
Angeli, David, Alessandro Casavola, & E. Mosca. (2000). Predictive PI-control of linear plants under positional and incremental input saturations. Automatica. 36(10). 1505–1516. 26 indexed citations
14.
Mosca, E., et al.. (1999). Adaptive gain scheduling control: Inference of feedback-loop behaviour. IFAC Proceedings Volumes. 32(2). 4541–4546. 1 indexed citations
15.
Angeli, David, Alessandro Casavola, & E. Mosca. (1999). Command governors for constrained nonlinear systems: direct nonlinear vs. linearization-based strategies. International Journal of Robust and Nonlinear Control. 9(10). 677–699. 29 indexed citations
16.
Sivan, R., et al.. (1995). Nonlinear H, Control and Its Application to Rigid Spacecraft. 1 indexed citations
17.
Chisci, Luigi & E. Mosca. (1994). MMSE deconvolution via polynomial methods and its dual LQG regulation. Automatica. 30(7). 1197–1201. 11 indexed citations
18.
Clarke, D.W., E. Mosca, & Riccardo Scattolini. (1994). Robustness of an adaptive predictive controller. IEEE Transactions on Automatic Control. 39(5). 1052–1056. 19 indexed citations
19.
Foiaş, Ciprian, E. Mosca, Luciano Pandolfi, et al.. (1991). H [infinity]-control theory : lectures given at the 2nd session of the Centro internazionale matematico estivo (C.I.M.E.) held in Como, Italy, June 18-26, 1990. Springer eBooks.
20.
Chisci, Luigi & E. Mosca. (1991). A general polynomial solution to the MMSE deconvolution problem. IEEE Transactions on Signal Processing. 39(4). 962–965. 10 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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