Jeremy J. Michalek

Marketing · 2004–2016

A researcher in the Science corpus: 10 papers; trusts 19 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Marketing — 42 citations into it; #5,491 of 6,289 by trust here, #5,117 by citations
• Economics and Econometrics — 36 citations into it; #21,126 of 23,481 by trust here, #7,096 by citations
• Electrical and Electronic Engineering — 26 citations into it; #3,633 of 16,539 by trust here, #3,822 by citations
• Automotive Engineering — 25 citations into it; #783 of 3,081 by trust here, #958 by citations
• Renewable Energy, Sustainability and the Environment — 23 citations into it; #1,567 of 5,212 by trust here, #1,789 by citations
• Management Science and Operations Research — 14 citations into it; #10,978 of 11,946 by trust here, #8,469 by citations
• Management of Technology and Innovation — 11 citations into it
• Artificial Intelligence — 9 citations into it

Whom Jeremy J. Michalek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Panos Y. Papalambros
2. S. B. Peterson
3. Rick L. Andrews
4. Wiebke Kuklys
5. John K. Kruschke
6. Timothy W. Simpson
7. Kenneth Train
8. Jordan J. Louviere
9. Peter E. Rossi
10. Jay Apt

Who trusts Jeremy J. Michalek overall

1. Panos Y. Papalambros
2. S. Tosserams
3. Joaquim R. Martins
4. Fred M. Feinberg
5. Orkun Karabasoglu
6. Mustafa Kemal Kulekci
7. L. Etman
8. Nuri Cihat Onat
9. Andrew B. Lambe
10. Harrison M. Kim

Papers from Jeremy J. Michalek's perspective

Ordered by how strongly the researchers Jeremy J. Michalek trusts endorse each paper. Same corpus, a different order for every researcher.

1. MIXED MNL MODELS FOR DISCRETE RESPONSE
2. Bayesian measures of model complexity and fit
3. Bayesian Statistics and Marketing
4. Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery
5. Product platform design and customization: Status and promise (Artificial intelligence for engineering design, analysis and manufacturing)
6. Bayesian data analysis.
7. Automobile Prices in Market Equilibrium
8. Cross-Functional Product Development Teams, Creativity, and the Innovativeness of New Consumer Products
9. Stated choice methods: analysis and application, Jordan J. Louviere, David A. Hensher and Joffre D. Swait, Cambridge University Press, ISBN: 0-521-78830-7
10. Platform driven development of product families: Linking theory with practice

Their papers

• Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China (2015) — 518 citations
• Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading (2005) — 299 citations
• Impact of Battery Weight and Charging Patterns on the Economic and Environmental Benefits of Plug-in Hybrid Vehicles (2009) — 337 citations
• Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains (2013) — 235 citations
• Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption (2013) — 146 citations
• A Study of Fuel Efficiency and Emission Policy Impact on Optimal Vehicle Design Decisions (2004) — 144 citations
• An Efficient Weighting Update Method to Achieve Acceptable Consistency Deviation in Analytical Target Cascading (2005) — 106 citations
• A techno-economic analysis and optimization of Li-ion batteries for light-duty passenger vehicle electrification (2015) — 164 citations
• Effect of regional grid mix, driving patterns and climate on the comparative carbon footprint of gasoline and plug-in electric vehicles in the United States (2016) — 150 citations
• Enhancing Marketing with Engineering: Optimal Product Line Design for Heterogeneous Markets (2011) — 120 citations