D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 43 Citations 6,293 163 World Ranking 1575 National Ranking 25

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Mechanical engineering
  • Artificial intelligence

His primary scientific interests are in Proton exchange membrane fuel cell, Stack, Control engineering, Prognostics and Durability. His study on Proton exchange membrane fuel cell is covered under Fuel cells. His Control engineering research integrates issues from Artificial neural network, Fuzzy logic, Fuel efficiency, Electricity generation and Nonlinear system.

His Fuzzy logic research is multidisciplinary, incorporating elements of Electric vehicle, Automotive engineering and Energy management. His research in Prognostics intersects with topics in Data-driven and Operations research. The various areas that Daniel Hissel examines in his Durability study include Constant current and Limit.

His most cited work include:

  • A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: Causes, consequences and diagnostic for mitigation (288 citations)
  • A review on PEM voltage degradation associated with water management: Impacts, influent factors and characterization (261 citations)
  • A review on model-based diagnosis methodologies for PEMFCs (171 citations)

What are the main themes of his work throughout his whole career to date?

Daniel Hissel mainly investigates Proton exchange membrane fuel cell, Automotive engineering, Stack, Fuel cells and Energy management. His Proton exchange membrane fuel cell research is multidisciplinary, incorporating perspectives in Durability, Prognostics, Reliability engineering, Voltage and Electronic engineering. His Durability research includes elements of Process engineering and Reliability.

His Voltage research is multidisciplinary, relying on both Feature extraction and Control theory. His Automotive engineering research incorporates themes from Battery, Electric vehicle, Electrical engineering and Powertrain. In his work, Fuzzy logic and Energetic macroscopic representation is strongly intertwined with Control engineering, which is a subfield of Energy management.

He most often published in these fields:

  • Proton exchange membrane fuel cell (53.24%)
  • Automotive engineering (26.18%)
  • Stack (27.94%)

What were the highlights of his more recent work (between 2017-2021)?

  • Proton exchange membrane fuel cell (53.24%)
  • Automotive engineering (26.18%)
  • Fuel cells (20.88%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Proton exchange membrane fuel cell, Automotive engineering, Fuel cells, Durability and Energy management. Daniel Hissel integrates many fields in his works, including Proton exchange membrane fuel cell and Stack. His Automotive engineering research incorporates elements of Electric vehicle and Boost converter.

His work carried out in the field of Durability brings together such families of science as Leakage, Load cycling, Detector and Reliability. In his research on the topic of Energy management, Dynamic programming is strongly related with Battery. His biological study spans a wide range of topics, including Membrane thickness and Energy storage.

Between 2017 and 2021, his most popular works were:

  • Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method (35 citations)
  • A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles (33 citations)
  • Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review (24 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Mechanical engineering
  • Artificial intelligence

Proton exchange membrane fuel cell, Automotive engineering, Durability, Process engineering and Voltage are his primary areas of study. The Proton exchange membrane fuel cell study combines topics in areas such as Artificial neural network, Prognostics, Reliability engineering and Membrane thickness. His Automotive engineering research incorporates themes from Battery, Powertrain, Boost converter and High voltage.

As a part of the same scientific study, Daniel Hissel usually deals with the Durability, concentrating on Reliability and frequently concerns with Purge and Internal combustion engine. Daniel Hissel has included themes like Fault and Feature extraction in his Voltage study. The concepts of his Feature extraction study are interwoven with issues in Data-driven and Multiplexing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: Causes, consequences and diagnostic for mitigation

N. Yousfi-Steiner;N. Yousfi-Steiner;Ph. Moçotéguy;D. Candusso;D. Hissel.
Journal of Power Sources (2009)

381 Citations

A review on PEM voltage degradation associated with water management: Impacts, influent factors and characterization

N. Yousfi-Steiner;N. Yousfi-Steiner;Ph. Moçotéguy;D. Candusso;D. Hissel.
Journal of Power Sources (2008)

350 Citations

A review on model-based diagnosis methodologies for PEMFCs

R. Petrone;R. Petrone;Z. Zheng;D. Hissel;M.C. Péra.
International Journal of Hydrogen Energy (2013)

233 Citations

Prognostics of PEM fuel cell in a particle filtering framework

Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra.
International Journal of Hydrogen Energy (2014)

193 Citations

Particle filter-based prognostics: Review, discussion and perspectives

Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra.
Mechanical Systems and Signal Processing (2016)

189 Citations

A Review on solid oxide fuel cell models

K. Wang;D. Hissel;M.C. Péra;N. Steiner.
International Journal of Hydrogen Energy (2011)

185 Citations

Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems .

R.E. Silva;R.E. Silva;R.E. Silva;R. Gouriveau;R. Gouriveau;S. Jemeï;S. Jemeï;D. Hissel;D. Hissel.
International Journal of Hydrogen Energy (2014)

180 Citations

On-line fuzzy energy management for hybrid fuel cell systems

S. Caux;W. Hankache;M. Fadel;D. Hissel.
International Journal of Hydrogen Energy (2010)

159 Citations

Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modeling

N. Yousfi Steiner;D. Hissel;Ph. Moçotéguy;D. Candusso.
International Journal of Hydrogen Energy (2011)

155 Citations

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.
International Journal of Hydrogen Energy (2013)

151 Citations

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