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Marcello R. Napolitano

Marcello R. Napolitano

Marcello R. Napolitano publications per year

The chart shows the history of publications by Marcello R. Napolitano between 1989 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marcello R. Napolitano published across 35 years, from 1989 to 2023, averaging 2.9 papers a year. Output peaked at 9 publications in 2003. 1 of the 103 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1989 to 2023. Vertical axis: number of publications, 0 to 9. Peak 9 publications in 2003. 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 1 publication 1994: 3 publications 1995: 1 publication 1996: 5 publications 1997: 3 publications 1998: 1 publication 1999: 3 publications 2000: 2 publications 2001: 3 publications 2002: 6 publications 2003: 9 publications 2004: 7 publications 2005: 1 publication 2006: 3 publications 2007: 3 publications 2008: 9 publications 2009: 3 publications 2010: 6 publications 2011: 5 publications 2012: 4 publications 2013: 7 publications 2014: 4 publications 2015: 0 publications 2016: 2 publications 2017: 2 publications 2018: 2 publications 2019: 3 publications 2020: 1 publication 2021: 1 publication 2022: 0 publications 2023: 1 publication
1989 2023

103 publications in total across all disciplines

View publications per year as a table
Marcello R. Napolitano: publications per year, 1989 to 2023
Year Publications
1989 1
1990 0
1991 1
1992 0
1993 1
1994 3
1995 1
1996 5
1997 3
1998 1
1999 3
2000 2
2001 3
2002 6
2003 9
2004 7
2005 1
2006 3
2007 3
2008 9
2009 3
2010 6
2011 5
2012 4
2013 7
2014 4
2015 0
2016 2
2017 2
2018 2
2019 3
2020 1
2021 1
2022 0
2023 1
Total 103
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. 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
47–56 publications 659+

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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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