Citation profile for Javier Bas

Javier Bas : Citation Profile

Universidad Autónoma de Madrid

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Citations

RESEARCH PRODUCTION:

Articles

RESEARCH ACTIVITY:

   1 years (2021 - 2022). See details.
   Cites by year: 15
   Journals where Javier Bas has often published
   Relations with other researchers
   Recent citing documents: 7.    Total self citations: 0 (0 %)

MORE DETAILS IN:

EconPapers

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pba1851
   Updated: 2025-12-13    RAS profile: 2022-10-21
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Javier Bas.

Is cited by:

Lamperti, Fabio (1)

Mirza, Nawazish (1)

Cites to:

Parsons, George (2)

Ida, Takanori (1)

van Ommeren, Jos (1)

Tanaka, Makoto (1)

Murakami, Kayo (1)

Dimitropoulos, Alexandros (1)

Hensher, David (1)

Main data

Where Javier Bas has published?

Recent works citing Javier Bas (2025 and 2024)

Year	Title of citing document
2024	Unlocking machine learning for social sciences: The case for identifying Industry 4.0 adoption across business restructuring events. (2024). Lamperti, Fabio. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:207:y:2024:i:c:s0040162524004256. Full description at Econpapers \|\| Download paper
2025	The energy efficiency paradox in electric vehicle adoption: Estimating the internal discount rate and the influences of behavioural factors. (2025). Kumar, Rajeev Ranjan ; Raj, Alok. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:192:y:2025:i:c:s0965856424004154. Full description at Econpapers \|\| Download paper
2025	A machine learning technique embedded reference-dependent choice model for explanatory power improvement: Shifting of reference point as a key factor in vehicle purchase decision-making. (2025). Kim, Junghun ; Park, Subin ; Lee, Jongsu. In: Transportation Research Part B: Methodological. RePEc:eee:transb:v:191:y:2025:i:c:s0191261524002546. Full description at Econpapers \|\| Download paper
2024	Who is more likely to buy electric vehicles?. (2024). Patterson, Zachary ; Waygood, E. O. D., ; Naseri, Hamed ; Wang, Bobin. In: Transport Policy. RePEc:eee:trapol:v:155:y:2024:i:c:p:15-28. Full description at Econpapers \|\| Download paper
2025	A fuzzy evaluation approach to determine superiority of deep learning network system in terms of recognition capability: case study of lung cancer imaging. (2025). Chang, Tsang-Chuan. In: Annals of Operations Research. RePEc:spr:annopr:v:349:y:2025:i:1:d:10.1007_s10479-023-05299-1. Full description at Econpapers \|\| Download paper
2025	Investigating Consumer Behaviour Towards Electric Vehicles: A Systematic Literature Review. (2025). Fraccascia, Luca ; Mercuri, Francesco ; Quaglieri, Luca. In: Circular Economy and Sustainability. RePEc:spr:circec:v:5:y:2025:i:2:d:10.1007_s43615-024-00461-8. Full description at Econpapers \|\| Download paper
2025	Predictive analysis of electric vehicle prices across various car brands in Germany. (2025). Lee, Zhi Lin ; Abd, Nur Haizum ; Chong, Jim. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-025-02055-4. Full description at Econpapers \|\| Download paper

Works by Javier Bas:

Year	Title	Type	Cited
2021	Classification of potential electric vehicle purchasers: A machine learning approach In: Technological Forecasting and Social Change. [Full Text][Citation analysis]	article	12
2022	Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control In: Transportation Research Part A: Policy and Practice. [Full Text][Citation analysis]	article	3