Alfredo Germani

4.1k total citations · 1 hit paper
176 papers, 3.0k citations indexed

About

Alfredo Germani is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alfredo Germani has authored 176 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Control and Systems Engineering, 57 papers in Artificial Intelligence and 24 papers in Computer Networks and Communications. Recurrent topics in Alfredo Germani's work include Stability and Control of Uncertain Systems (59 papers), Target Tracking and Data Fusion in Sensor Networks (55 papers) and Control Systems and Identification (53 papers). Alfredo Germani is often cited by papers focused on Stability and Control of Uncertain Systems (59 papers), Target Tracking and Data Fusion in Sensor Networks (55 papers) and Control Systems and Identification (53 papers). Alfredo Germani collaborates with scholars based in Italy, United States and Argentina. Alfredo Germani's co-authors include Costanzo Manes, Filippo Cacace, M. Dalla Mora, Pierdomenico Pepe, G. Ciccarella, Pasquale Palumbo, Francesco Carravetta, Francesco Conte, Massimiliano d’Angelo and L. Jetto and has published in prestigious journals such as IEEE Transactions on Automatic Control, Biochemical and Biophysical Research Communications and Automatica.

In The Last Decade

Alfredo Germani

169 papers receiving 2.9k citations

Hit Papers

A Luenberger-like observer for nonlinear systems 1993 2026 2004 2015 1993 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Luenberger-like observer for nonlinear systems
    1993 417 citations Alfredo Germani et al. profile →

Peers

Alfredo Germani
S. Monaco Italy
H. Kaufman United States
S. Prajna United States
Huanshui Zhang China
Feng‐Hsiag Hsiao Taiwan
Dirk Aeyels Belgium
Valery Ugrinovskii Australia
J. Pearson United States
R.R. Mohler United States
Jun‐Guo Lu China
S. Monaco Italy
Alfredo Germani
Citations per year, relative to Alfredo Germani Alfredo Germani (= 1×) peers S. Monaco

Countries citing papers authored by Alfredo Germani

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Germani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Germani

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Germani. A scholar is included among the top collaborators of Alfredo Germani 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 Alfredo Germani. Alfredo Germani 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.
Cacace, Filippo, et al.. (2023). Learning Nonlinear Systems via Volterra Series and Hilbert-Schmidt Operators. IEEE Transactions on Automatic Control. 69(6). 3881–3895.
2.
Cacace, Filippo & Alfredo Germani. (2022). Learning Causal Estimates of Linear Operators from Noisy Data. IEEE Transactions on Automatic Control. 1–13. 1 indexed citations
3.
Cacace, Filippo, et al.. (2021). Filtering Discrete-Time Systems With Multiplicative Noise in L₂ Spaces With Applications. IEEE Control Systems Letters. 6. 734–739. 2 indexed citations
4.
Cacace, Filippo, Alfredo Germani, Costanzo Manes, & Marco Papi. (2020). Predictor-Based Output-Feedback Control of Linear Stochastic Systems With Large I/O Delays. IEEE Transactions on Automatic Control. 66(1). 307–313. 10 indexed citations
5.
Cacace, Filippo, Alfredo Germani, & Costanzo Manes. (2020). An Enhanced Observer for Nonlinear Systems With Time-Varying Measurement Delays. IEEE Transactions on Automatic Control. 66(12). 5968–5973. 12 indexed citations
6.
Cacace, Filippo, et al.. (2019). Optimal Continuous-Discrete Linear Filter and Moment Equations for Nonlinear Diffusions. IEEE Transactions on Automatic Control. 65(10). 3961–3976. 5 indexed citations
7.
Battilotti, Stefano, Filippo Cacace, Massimiliano d’Angelo, Alfredo Germani, & Bruno Sinopoli. (2019). LQ Non-Gaussian Regulator With Markovian Control. IEEE Control Systems Letters. 3(3). 679–684. 10 indexed citations
8.
Battilotti, Stefano, Filippo Cacace, Massimiliano d’Angelo, & Alfredo Germani. (2018). Distributed Kalman Filtering Over Sensor Networks With Unknown Random Link Failures. IEEE Control Systems Letters. 2(4). 587–592. 35 indexed citations
9.
Cacace, Filippo, Francesco Conte, Massimiliano d’Angelo, & Alfredo Germani. (2018). Feedback polynomial filtering and control of non-Gaussian linear time-varying systems. Systems & Control Letters. 123. 108–115. 14 indexed citations
10.
Cacace, Filippo, et al.. (2016). A state predictor for continuous-time stochastic systems. Systems & Control Letters. 98. 37–43. 6 indexed citations
11.
Cacace, Filippo, et al.. (2016). Optimal control of linear systems with large and variable input delays. Systems & Control Letters. 89. 1–7. 23 indexed citations
12.
Germani, Alfredo, et al.. (2010). Identification of regulatory network motifs from gene expression data. IRIS Research product catalog (Sapienza University of Rome). 4 indexed citations
13.
Palumbo, Pasquale, Costanzo Manes, & Alfredo Germani. (2005). A family of polynomial filters for discrete-time nonlinear stochastic systems. BOA (University of Milano-Bicocca). 3 indexed citations
14.
Palumbo, Pasquale, et al.. (2004). Quadratic filtering for simultaneous state and parameter estimation of uncertain systems. BOA (University of Milano-Bicocca). 1 indexed citations
15.
Palumbo, Pasquale, Costanzo Manes, & Alfredo Germani. (2003). A minimum variance filter for discrete-time linear systems perturbed by unknown nonlinearities. BOA (University of Milano-Bicocca).
16.
Palumbo, Pasquale, Alfredo Germani, & Costanzo Manes. (2003). Polynomial filtering for stochastic systems with markovian switching coefficients. BOA (University of Milano-Bicocca). 6 indexed citations
17.
Germani, Alfredo, Costanzo Manes, & Pasquale Palumbo. (2002). Kalman Bucy filtering for linear stochastic differential systems with unknown inputs. BOA (University of Milano-Bicocca). 8 indexed citations
18.
Germani, Alfredo, Costanzo Manes, & Pierdomenico Pepe. (2001). An asymptotic state observer for a class of nonlinear delay systems. Kybernetika. 37(4). 459–478. 51 indexed citations
19.
Germani, Alfredo & Costanzo Manes. (1999). State observers for nonlinear systems with smooth/bounded input. Kybernetika. 35(4). 393–413. 7 indexed citations
20.
Germani, Alfredo, Costanzo Manes, & Pierdomenico Pepe. (1999). State observers for nonlinear systems with output delayed information. 3703–3708. 4 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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