Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.271 Topics available

To Map

884 Locations available

467.600 PEOPLE
467.600 People People

467.600 People

Show results for 467.600 people that are selected by your search filters.

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PeopleLocationsStatistics
Serhiienko, Serhii
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Schmalz, Ulrike
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Oliveira, Marisa
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Ribeiro Pereira, Maria Teresa
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Bellér, Gábor
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Araujo, M.
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Frey, MichaelKarlsruhe
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Coutinho-Rodrigues, JoãoCoimbra
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Wouters, Christian Guillaume LouiseAachen
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Kessel, Paul J. Van Van
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Árpád, István
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Fontul, Simona
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Kocsis, Dénes
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Cigada, AlfredoMilan
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Oort, Neils VanDelft
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Agárdi, AnitaMiskolc
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Andrews, Gordon E.
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Sousa, Nuno
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Witlox, Frank Jacomina AlbertGhent
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Dobruszkes, Frederic
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Kiss, Judit T.
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Hadachi, AmnirSaint-Étienne-du-Rouvray
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Hamilton, Carl J.Kunovice
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Misiura, Serhii
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Schimpf, Marina
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PALUMBO, Biagio

  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

  • ship
  • contaminant
  • monitoring
  • regression analysis
  • vehicle
  • passenger
  • vehicle occupant
  • neural network
  • data
  • data analysis
  • automobile industry
  • resistance
  • spot welding
  • industry
  • reliability
  • safety
  • estimating
  • decision making
  • fuel consumption
  • fuel
  • sensor
  • engineering
  • supporting
  • shipping
  • cladding
  • regulation
  • operations research
  • air pollution
  • corporation
  • supervisor
  • cruise ship
  • management science
  • least squares method
  • forecasting
  • estimate
  • variable
  • tree
  • machinery
  • learning
  • machine learning
  • alternatives analysis
  • benchmark
  • assessment
  • Statistic
  • carbon
  • engineer
  • locomotive engineer
  • stakeholder
  • implementation
  • diagnosis
  • ocean shipping
  • marine engineer
  • data collection
  • climate change
  • sea
  • ocean
  • temperature
  • gas
  • duct
  • market
  • port
  • face
  • air quality
  • wind
  • generator
  • time interval
  • carbon dioxide
  • variance
  • boating
  • greenhouse gas
  • global warming
  • multiple regression analysis
  • driving
  • design
  • fee
  • experiment
  • pH value
  • designer
  • thesis
  • complex system
  • executive
  • maritime industry
  • high speed craft
  • hull
  • sail
  • show 55 more
  • show less

Publications

  • 2022Functional regression control chart for monitoring ship CO2 emissions5citations
  • 2022Neural network based control charting for multiple stream processes with an application to HVAC systems in passenger railway vehiclescitations
  • 2022Functional regression control chart for monitoring ship CO2$_{2}$ emissions5citations
  • 2021A functional data analysis approach for the monitoring of ship CO2 emissions1citations
  • 2021Functional clustering methods for resistance spot welding process data in the automotive industry7citations
  • 2020Control charts for monitoring ship operating conditions and CO 2 emissions based on scalar‐on‐function regression15citations
  • 2019Orthogonal LS-PLS approach to ship fuel-speed curves for supporting decisions based on operational data5citations
  • 2018Analysis of profiles for monitoring of modern ship performance via partial least squares methods10citations
  • 2017A comparison of advanced regression techniques for predicting ship CO2 emissions20citations
  • 2017On the use of predictive methods for ship fuel consumption analysis from massive on-board operational datacitations
  • 2017A comparison of advanced regression techniques for predicting ship CO<inf>2</inf> emissions20citations
  • 2017Normalized Ship Fuel-Speed Curve for Monitoring CO₂ Emissions by Multi-Sensor System Datacitations
  • 2016CO2 emissions monitoring and fault-detection based on big navigation datacitations
  • 2015A Procedure for Predicting and Controlling the Ship Fuel Consumption: Its Implementation and Test29citations
  • 2015A statistical approach to ship fuel consumption monitoring35citations
  • 2014SIGNIFICANT IMPROVEMENT OF THE SHIP ENERGY EFFICIENCY VIA DESIGN OF EXPERIMENTS AND REGRESSION ANALYSIScitations
  • 2013A statistical control of the ship fuel consumptioncitations

Places of action

Chart of shared publication
MENAFOGLIO, ALESSANDRA
3 / 5 shared
Vantini, Simone
3 / 7 shared
Capezza, Christian
12 / 13 shared
Centofanti, Fabio
5 / 5 shared
LEPORE, Antonio
12 / 12 shared
Sposito, Gianluca
1 / 1 shared
Reis, Marco Seabra Dos
2 / 3 shared
Rendall, Ricardo
2 / 2 shared
Dos Reis, M. S.
1 / 2 shared
Rendall, R.
1 / 2 shared
Lepore, A.
4 / 9 shared
Bocchetti, Dario
2 / 2 shared
Vitiello, Luigi
5 / 6 shared
Erto, P.
1 / 1 shared
Bocchetti, D.
2 / 2 shared
Miranda, Salvatore
1 / 3 shared
Chart of publication period
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013

Co-Authors (by relevance)

  • MENAFOGLIO, ALESSANDRA
  • Vantini, Simone
  • Capezza, Christian
  • Centofanti, Fabio
  • LEPORE, Antonio
  • Sposito, Gianluca
  • Reis, Marco Seabra Dos
  • Rendall, Ricardo
  • Dos Reis, M. S.
  • Rendall, R.
  • Lepore, A.
  • Bocchetti, Dario
  • Vitiello, Luigi
  • Erto, P.
  • Bocchetti, D.
  • Miranda, Salvatore