On the public citation graph

Lower Co2 Emissions by Hybrid Vehicles than by Electric Vehicles in Certain Temperature Ranges

https://doi.org/10.2139/ssrn.4822996
0 signed · 33 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sim.1545openalex-extracted
Estimating regression models with unknown break‐points
inferredcites →https://doi.org/10.1016/0140-6701(00)94764-7openalex-extracted
00/03703 Energy efficiency and consumption - the rebound effect - a survey
inferredcites →https://doi.org/10.1016/j.apenergy.2019.114196openalex-extracted
Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy
inferredcites →https://doi.org/10.1016/j.cjpre.2022.01.002openalex-extracted
Spatial network structure of transportation carbon emission efficiency in China and its influencing factors
inferredcites →https://doi.org/10.1016/j.ecolecon.2005.08.009openalex-extracted
Does the hybrid Toyota Prius lead to rebound effects? Analysis of size and number of cars previously owned by Swiss Prius buyers
inferredcites →https://doi.org/10.1016/j.enpol.2012.08.061openalex-extracted
Optimal design and allocation of electrified vehicles and dedicated charging infrastructure for minimum life cycle greenhouse gas emissions and cost
inferredcites →https://doi.org/10.1016/j.enpol.2013.03.047openalex-extracted
Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains
inferredcites →https://doi.org/10.1016/j.jclepro.2006.05.025openalex-extracted
Reducing energy consumption in road transport through hybrid vehicles: investigation of rebound effects, and possible effects of tax rebates
inferredcites →https://doi.org/10.1016/j.jclepro.2017.10.194openalex-extracted
Urban traffic infrastructure investment and air pollution: Evidence from the 83 cities in China
inferredcites →https://doi.org/10.1016/j.spc.2021.03.002openalex-extracted
Have electric vehicles effectively addressed CO2 emissions? Analysis of eight leading countries using quantile-on-quantile regression approach
inferredcites →https://doi.org/10.1016/j.tra.2018.09.018openalex-extracted
The impact of daily and annual driving on fuel economy and CO2 emissions of plug-in hybrid electric vehicles
inferredcites →https://doi.org/10.1016/j.trd.2014.10.007openalex-extracted
Electric vehicles’ energy consumption measurement and estimation
inferredcites →https://doi.org/10.1016/j.trd.2016.11.019openalex-extracted
Are potential reductions in CO2 emissions via hybrid electric vehicles actualized in real traffic? The case of Japan
inferredcites →https://doi.org/10.1016/j.trd.2016.11.027openalex-extracted
Path analysis of factors in energy-related CO2 emissions from Beijing’s transportation sector
inferredcites →https://doi.org/10.1016/j.trd.2017.02.015openalex-extracted
Electric vehicle users and their travel patterns in Greater Stockholm
inferredcites →https://doi.org/10.1016/j.trd.2019.04.008openalex-extracted
Machine learning estimates of plug-in hybrid electric vehicle utility factors
inferredcites →https://doi.org/10.1016/j.trd.2021.103132openalex-extracted
Optimal electrification level of passenger cars in Europe in a battery-constrained future
inferredcites →https://doi.org/10.1016/j.trd.2023.103721openalex-extracted
Evaluation of plug-in hybrid vehicles in real-world conditions by simulation
inferredcites →https://doi.org/10.1016/s0301-4215(00)00021-5openalex-extracted
Energy efficiency and consumption — the rebound effect — a survey
inferredcites →https://doi.org/10.1021/es505621sopenalex-extracted
Effects of Regional Temperature on Electric Vehicle Efficiency, Range, and Emissions in the United States
inferredcites →https://doi.org/10.1049/iet-its.2013.0122openalex-extracted
Routing systems to extend the driving range of electric vehicles
inferredcites →https://doi.org/10.1063/1.4993945openalex-extracted
Driving range estimation for electric vehicles based on driving condition identification and forecast
inferredcites →https://doi.org/10.1088/1748-9326/ac4293openalex-extracted
Spatial-temporal variation of CO2emissions from private vehicle use in Japan
inferredcites →https://doi.org/10.1088/1757-899x/421/4/042046openalex-extracted
Comparison of CO2 emissions and fuel consumption of a hybrid vehicle and a vehicle with a direct gasoline injection engine
inferredcites →https://doi.org/10.1109/bigdata.2017.8258382openalex-extracted
Application of machine learning for fuel consumption modelling of trucks
inferredcites →https://doi.org/10.1111/j.1530-9290.2012.00526.xopenalex-extracted
Fuel Economy and Greenhouse Gas Emissions Labeling for Plug‐In Hybrid Vehicles from a Life Cycle Perspective
inferredcites →https://doi.org/10.1111/jiec.12072openalex-extracted
Life Cycle Assessment of a Lithium‐Ion Battery Vehicle Pack
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-extracted
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.3390/atmos13101588openalex-extracted
CO2 and CH4 Emission Factors from Light-Duty Vehicles by Fuel Types in Thailand
inferredcites →https://doi.org/10.3390/en10050608openalex-extracted
A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions
inferredcites →https://doi.org/10.3390/en8088573openalex-extracted
Energy Consumption Prediction for Electric Vehicles Based on Real-World Data
inferredcites →https://doi.org/10.3390/ijerph15040566openalex-extracted
Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data
inferredcites →https://doi.org/10.3390/wevj7030447openalex-extracted
Electric Vehicle Energy Consumption Modelling and Prediction Based on Road Information
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.