World's Best Scientists 2026 revealed!
Cesare Pianese

Cesare Pianese

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
34
Citations
4509
World Ranking
2861
National Ranking
101

Cesare Pianese 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 Cesare Pianese 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+

This scientist: 194 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Cesare Pianese 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 Cesare Pianese 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+

This scientist: 34 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Cesare Pianese is affiliated with the University of Salerno in Italy. Their research spans multiple areas within engineering and materials science, with a focus on applied topics related to energy systems and automotive technologies.

The primary fields of study in Cesare Pianese's work include:

  • Engineering
  • Materials Science

Within these areas, the subfields of study covered are:

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Fluid Flow and Transfer Processes
  • Control and Systems Engineering

Key topics researched by Cesare Pianese involve:

  • Electric and Hybrid Vehicle Technologies
  • Vehicle emissions and performance
  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Advancements in Solid Oxide Fuel Cells
  • Fuel Cells and Related Materials
  • Advanced Combustion Engine Technologies

Recent published papers demonstrating their research focus include:

  • On the use of dynamic programming for optimal energy management of grid-connected reversible solid oxide cell-based renewable microgrids, 2021, Energy
  • A survey study on Industry 4.0 readiness level of Italian small and medium enterprises, 2021, Procedia Computer Science
  • Optimal Energy Management for Hybrid Electric Vehicles Based on Dynamic Programming and Receding Horizon, 2021, Energies
  • Coupling electrochemical impedance spectroscopy and model-based aging estimation for solid oxide fuel cell stacks lifetime prediction, 2020, Applied Energy
  • Optimal heat and power management of a reversible solid oxide cell based microgrid for effective technoeconomic hydrogen consumption and storage, 2022, Applied Energy

The frequent coauthors with whom Cesare Pianese has collaborated include:

  • Pierpaolo Polverino
  • Ivan Arsie
  • Marco Sorrentino
  • Davide Cervone
  • Nunzia Coppola

Cesare Pianese's work has appeared regularly in scientific venues such as:

  • SAE technical papers on CD-ROM/SAE technical paper series
  • Energies
  • International Journal of Hydrogen Energy
  • IFAC-PapersOnLine
  • Energy Conversion and Management

Best Publications

  • A review on model-based diagnosis methodologies for PEMFCs

    R. Petrone;R. Petrone;Z. Zheng;D. Hissel;M.C. Péra

  • Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale

    Thomas Jahnke;Georg Futter;Arnulf Latz;Thomas Malkow

  • A Review on solid oxide fuel cell models

    K. Wang;D. Hissel;M.C. Péra;N. Steiner

  • A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems

    Z. Zheng;R. Petrone;R. Petrone;M.C. Péra;D. Hissel

  • On-line sensor fault detection, isolation, and accommodation in automotive engines

    D. Capriglione;C. Liguori;C. Pianese;A. Pietrosanto

  • A hierarchical modeling approach to the simulation and control of planar solid oxide fuel cells

    Marco Sorrentino;Cesare Pianese;Yann G. Guezennec

  • A neural network estimator of Solid Oxide Fuel Cell performance for on-field diagnostics and prognostics applications

    Dario Marra;Marco Sorrentino;Cesare Pianese;Boris Iwanschitz

  • Optimization of Supervisory Control Strategy for Parallel Hybrid Vehicle with Provisional Load Estimate

    Ivan Arsie;Graziosi Marco;Cesare Pianese;Gianfranco Rizzo

  • Models for the Prediction of Performance and Emissions in a Spark Ignition Engine - A Sequentially Structured Approach

    Ivan Arsie;Cesare Pianese;Gianfranco Rizzo

  • Application of Fault Tree Analysis to Fuel Cell diagnosis

    N. Yousfi Steiner;D. Hissel;P. Moçotéguy;D. Candusso

  • Model-based development of a fault signature matrix to improve solid oxide fuel cell systems on-site diagnosis

    Pierpaolo Polverino;Cesare Pianese;Marco Sorrentino;Dario Marra

  • AN ADAPTIVE ESTIMATOR OF FUEL FILM DYNAMICS IN THE INTAKE PORT OF A SPARK IGNITION ENGINE

    I. Arsie;C. Pianese;G. Rizzo;V. Cioffi

  • Model-based development of low-level control strategies for transient operation of solid oxide fuel cell systems

    Marco Sorrentino;Cesare Pianese

  • A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines

    Ivan Arsie;Cesare Pianese;Marco Sorrentino

  • Study of the energetic needs for the on-board production of Oxy-Hydrogen as fuel additive in internal combustion engines

    Pierpaolo Polverino;Federica D’Aniello;Ivan Arsie;Cesare Pianese

  • A Computer Code for S.I. Engine Control and Powertrain Simulation

    Ivan Arsie;Cesare Pianese;Gianfranco Rizzo;Roberto Flora

  • Model-based diagnosis through Structural Analysis and Causal Computation for automotive Polymer Electrolyte Membrane Fuel Cell systems

    Pierpaolo Polverino;Erik Frisk;Daniel Jung;Mattias Krysander

  • On the use of dynamic programming for optimal energy management of grid-connected reversible solid oxide cell-based renewable microgrids

    F. Vitale;N. Rispoli;M. Sorrentino;M.A. Rosen

  • A model-based diagnostic technique to enhance faults isolability in Solid Oxide Fuel Cell systems

    Pierpaolo Polverino;Marco Sorrentino;Cesare Pianese

  • An integrated mathematical tool aimed at developing highly performing and cost-effective fuel cell hybrid vehicles

    Marco Sorrentino;Cesare Pianese;Mario Maiorino

  • Application of Willans Line Method for Internal Combustion Engines Scalability towards the Design and Optimization of Eco-Innovation Solutions

    Marco Sorrentino;Fabrizio Mauramati;Ivan Arsie;Andrea Cricchio

  • Neural network models for virtual sensing of NOx emissions in automotive diesel engines with least square-based adaptation

    Ivan Arsie;Andrea Cricchio;Matteo De Cesare;Francesco Lazzarini

  • Experimental investigation of water droplet–air flow interaction in a non-reacting PEM fuel cell channel

    Angelo Esposito;Angelo Esposito;Aaron D. Montello;Yann G. Guezennec;Cesare Pianese

Frequent Co-Authors

Yann G. Guezennec
Yann G. Guezennec The Ohio State University
Daniel Hissel
Daniel Hissel University of Franche-Comté
Marie-Cécile Péra
Marie-Cécile Péra Centre national de la recherche scientifique, CNRS
Giovanni Petrone
Giovanni Petrone University of Salerno
Giovanni Spagnuolo
Giovanni Spagnuolo University of Salerno
Denis Candusso
Denis Candusso Université Gustave Eiffel
Massimo Vitelli
Massimo Vitelli University of Campania "Luigi Vanvitelli"
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Vincenzo Palma
Vincenzo Palma University of Salerno
Alejandro A. Franco
Alejandro A. Franco University of Picardie Jules Verne

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