Marcello Napolitano

1.5k total citations
92 papers, 1.1k citations indexed

About

Marcello Napolitano is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Marcello Napolitano has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Aerospace Engineering, 45 papers in Control and Systems Engineering and 35 papers in Artificial Intelligence. Recurrent topics in Marcello Napolitano's work include Fault Detection and Control Systems (30 papers), Target Tracking and Data Fusion in Sensor Networks (25 papers) and Control Systems and Identification (21 papers). Marcello Napolitano is often cited by papers focused on Fault Detection and Control Systems (30 papers), Target Tracking and Data Fusion in Sensor Networks (25 papers) and Control Systems and Identification (21 papers). Marcello Napolitano collaborates with scholars based in United States, Italy and South Korea. Marcello Napolitano's co-authors include Yu Gu, Giampiero Campa, Brad Seanor, Mario Luca Fravolini, Mario Perhinschi, Haiyang Chao, Matthew B. Rhudy, Mario Innocenti, Jason N. Gross and Srikanth Gururajan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Control Systems Technology.

In The Last Decade

Marcello Napolitano

88 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Napolitano United States 17 695 398 330 225 111 92 1.1k
Brad Seanor United States 17 620 0.9× 560 1.4× 246 0.7× 181 0.8× 222 2.0× 49 1.1k
Qiping Chu Netherlands 19 617 0.9× 911 2.3× 218 0.7× 161 0.7× 102 0.9× 31 1.3k
Jitendra R. Raol India 15 298 0.4× 239 0.6× 196 0.6× 260 1.2× 56 0.5× 59 878
Giampiero Campa United States 22 915 1.3× 745 1.9× 265 0.8× 390 1.7× 256 2.3× 91 1.6k
Srikanth Gururajan United States 13 400 0.6× 266 0.7× 240 0.7× 103 0.5× 191 1.7× 52 671
Joseph F. Horn United States 19 970 1.4× 477 1.2× 101 0.3× 240 1.1× 63 0.6× 153 1.3k
Guillaume Ducard Switzerland 16 559 0.8× 915 2.3× 201 0.6× 208 0.9× 103 0.9× 41 1.3k
Rolf Rysdyk United States 20 955 1.4× 892 2.2× 277 0.8× 478 2.1× 254 2.3× 43 1.5k
P. Kalata United States 9 233 0.3× 226 0.6× 286 0.9× 130 0.6× 94 0.8× 40 598
X. Zhuang United States 10 367 0.5× 345 0.9× 177 0.5× 526 2.3× 66 0.6× 28 1.1k

Countries citing papers authored by Marcello Napolitano

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Napolitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Napolitano

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Napolitano. A scholar is included among the top collaborators of Marcello Napolitano 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 Marcello Napolitano. Marcello Napolitano 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.
Gili, Piero, et al.. (2021). Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation. International Journal of Aerospace Engineering. 2021. 1–13. 5 indexed citations
2.
Gutiérrez, Luis B., et al.. (2019). Digital Twin Concept for Aircraft System Failure Detection and Correction. AIAA Aviation 2019 Forum. 6 indexed citations
3.
Fravolini, Mario Luca, et al.. (2018). Comparative Analysis of Performance of Neural Estimators for Diagnostics in Engine Emission System. SAE International Journal of Engines. 11(3). 277–288. 1 indexed citations
4.
Fravolini, Mario Luca, et al.. (2018). Interval Fuzzy Model for Robust Aircraft IMU Sensors Fault Detection. Sensors. 18(8). 2488–2488. 22 indexed citations
5.
Fravolini, Mario Luca, Matthew B. Rhudy, Srikanth Gururajan, Silvia Cascianelli, & Marcello Napolitano. (2014). Experimental Evaluation of Two Pitot Free Analytical Redundancy Techniques for the Estimation of the Airspeed of an UAV. SAE International Journal of Aerospace. 7(1). 109–116. 12 indexed citations
6.
Napolitano, Marcello, et al.. (2013). Experimental Evaluation of a Machine Vision Based Pose Estimation System for Autonomous Capture of Satellites with Interface Rings. AIAA Guidance, Navigation, and Control (GNC) Conference. 7 indexed citations
7.
Rhudy, Matthew B., Yu Gu, & Marcello Napolitano. (2012). Relaxation of Initial Error and Noise Bounds for Stability of GPS/INS Attitude Estimation. AIAA Guidance, Navigation, and Control Conference. 10 indexed citations
8.
Rhudy, Matthew B., et al.. (2012). Mobile Ground Control Station Development for Fault Tolerant UAV Research. AIAA Guidance, Navigation, and Control Conference. 4 indexed citations
9.
Rhudy, Matthew B., Yu Gu, Jason N. Gross, & Marcello Napolitano. (2011). Sensitivity Analysis of EKF and UKF in GPS/INS Sensor Fusion. AIAA Guidance, Navigation, and Control Conference. 13 indexed citations
10.
Campa, Giampiero, Bojan Čukić, Yu Gu, et al.. (2008). Calculation of Bounding Sets for Neural Network Based Adaptive Control Systems. AIAA Guidance, Navigation and Control Conference and Exhibit. 7 indexed citations
11.
Gu, Yu, et al.. (2008). Aircraft Attitude, Position, and Velocity Determination Using Sensor Fusion. AIAA Guidance, Navigation and Control Conference and Exhibit. 13 indexed citations
12.
Perhinschi, Mario & Marcello Napolitano. (2007). Using Flight Simulation for Flight Dynamics and Control Education Enhancement. AIAA Atmospheric Flight Mechanics Conference and Exhibit. 1 indexed citations
13.
Perhinschi, Mario, Marcello Napolitano, Giampiero Campa, & Mario Luca Fravolini. (2004). A Simulation Environment for Testing and Research of Neurally Augmented Fault Tolerant Control Laws Based on Non-Linear Dynamic Inversion. AIAA Modeling and Simulation Technologies Conference and Exhibit. 18 indexed citations
14.
Song, Yongkyu, Giampiero Campa, Marcello Napolitano, Brad Seanor, & Mario Perhinschi. (2002). Online Parameter Estimation Techniques Comparison Within a Fault Tolerant Flight Control System. Journal of Guidance Control and Dynamics. 25(3). 528–537. 48 indexed citations
15.
Alexander, Chris, et al.. (2000). Modeling the Fault Tolerant Capability of a Flight Control System: An Exercise in SCR Specification. Formal Methods. 5 indexed citations
16.
Franco, Leopoldo, et al.. (2000). Design optimization with model tests for the protection of Gela caisson breakwater. 2. 927–935. 1 indexed citations
17.
Wen, Wu, Marcello Napolitano, & John R. Callahan. (1997). Verifying Stability of Dynamic Soft-Computing Systems. NASA Technical Reports Server (NASA). 2 indexed citations
18.
Napolitano, Marcello, José Luis Casanova Roque, Mario Innocenti, et al.. (1997). On-line learning neural and fuzzy logic controllers for actuator failure accommodation in flight control systems. Guidance, Navigation, and Control Conference. 1 indexed citations
19.
Napolitano, Marcello, et al.. (1996). A comparison between Kalman filter and neural network approaches for sensor validation. Guidance, Navigation, and Control Conference. 9 indexed citations
20.

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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