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Marcello R. Napolitano

Marcello R. Napolitano

Marcello R. Napolitano publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Marcello R. Napolitano sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

The last bar groups every scientist with 659 publications or more.

Marcello R. Napolitano D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Marcello R. Napolitano sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

The last bar groups every scientist with 93 D-Index or more.

Overview

Marcello R. Napolitano is affiliated with West Virginia University in the United States. Their research spans multiple fields, with a focus on Engineering as well as Biochemistry, Genetics and Molecular Biology. The subfields of their work highlight Genetics, Aerospace Engineering, Artificial Intelligence, and Control and Systems Engineering.

Their scholarly output includes publications in diverse venues. Notably, Marcello R. Napolitano has contributed to the International Journal of Aerospace Engineering and NSC Nursing. These publications reflect interdisciplinary interests across both technical and medical domains.

Recent papers authored or coauthored by them include:

  • "Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation," 2021, International Journal of Aerospace Engineering
  • "Uno studio di coorte su neonati affetti da Plagiocefalia non sinostosica," 2020, NSC Nursing

Their research topics cover a range of subjects, including:

  • Aerospace and Aviation Technology
  • Target Tracking and Data Fusion in Sensor Networks
  • Fault Detection and Control Systems
  • Craniofacial Disorders and Treatments
  • Cleft Lip and Palate Research

Frequent collaborators in their published work include Angelo Lerro, Piero Gili, Mario Luca Fravolini, Teresa Ferola, and Franca Sarracino.

Best Publications

  • A fault tolerant flight control system for sensor and actuator failures using neural networks

    Marcello R. Napolitano;Younghwan An;Brad A. Seanor

  • Design and Flight Testing Evaluation of Formation Control Laws

    Yu Gu;B. Seanor;G. Campa;M.R. Napolitano

  • Kalman filters and neural-network schemes for sensor validation in flight control systems

    M.R. Napolitano;D.A. Windon;J.L. Casanova;M. Innocenti

  • A Survey of Optical Flow Techniques for Robotics Navigation Applications

    Haiyang Chao;Yu Gu;Marcello Napolitano

  • Flight-Test Evaluation of Sensor Fusion Algorithms for Attitude Estimation

    J. N. Gross;Yu Gu;M. B. Rhudy;S. Gururajan

  • Aircraft failure detection and identification using neural networks

    Marcello R. Napolitano;Ching I. Chen;Steve Naylor

  • Design and flight-testing of non-linear formation control laws

    Giampiero Campa;Yu Gu;Brad Seanor;Marcello R. Napolitano

  • Modeling and control issues for autonomous aerial refueling for UAVs using a probe–drogue refueling system

    Mario Luca Fravolini;Antonio Ficola;Giampiero Campa;Marcello Rosario Napolitano

  • Experimental application of extended Kalman filtering for sensor validation

    D. Del Gobbo;M. Napolitano;P. Famouri;M. Innocenti

  • Dynamic and control issues of formation flight

    Fabrizio Giulietti;Mario Innocenti;Marcello Napolitano;Lorenzo Pollini

  • Evaluation of Matrix Square Root Operations for UKF within a UAV GPS/INS Sensor Fusion Application

    Matthew Rhudy;Yu Gu;Jason Gross;Marcello R. Napolitano

  • On-Line Learning Nonlinear Direct Neurocontrollers for Restructurable Control Systems

    Marcello R. Napolitano;Steve Naylor;Charles Neppach;Van Casdorph

  • On-line learning neural-network controllers for autopilot systems

    Marsello R. Napolitano;Michael Kincheloe

  • New technique for aircraft flight control reconfiguration

    Marcello R. Napolitano;Robert L. Swaim

  • Online Parameter Estimation Techniques Comparison Within a Fault Tolerant Flight Control System

    Giampiero Campa;Marcello Napolitano;Brad Seanor;Mario G. Perhinschi

  • AUTONOMOUS AERIAL REFUELING FOR UAVS USING A COMBINED GPS-MACHINE VISION GUIDANCE

    Giampiero Campa;Mario Luca Fravolini;Antonio Ficola;Marcello R. Napolitano

  • Online learning neural architectures and cross-correlation analysis for actuator failure detection and identification

    Marcello R. Napolitano;Van Casdorph;Charles Neppach;Steve Naylor

  • Data-Driven Schemes for Robust Fault Detection of Air Data System Sensors

    Mario L. Fravolini;Giuseppe Del Core;Umberto Papa;Paolo Valigi

  • A Comparison of Extended Kalman Filter, Sigma-Point Kalman Filter, and Particle Filter in GPS/INS Sensor Fusion

    Jason Gross;Yu Gu;Srikanth Gururajan;Brad Seanor

  • Development of Modelling and Control Tools for Aerial Refueling for Uavs

    Mario Fravolini;Antonio Ficola;Marcello Napolitano;Giampiero Campa

Frequent Co-Authors

Bojan Cukic
Bojan Cukic University of North Carolina at Charlotte
Guodong Guo
Guodong Guo West Virginia University
Steve Chien
Steve Chien Jet Propulsion Lab
Tim Menzies
Tim Menzies North Carolina State University

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