John Liechty

3.4k total citations
47 papers, 1.9k citations indexed

About

John Liechty is a scholar working on Economics and Econometrics, Finance and Marketing. According to data from OpenAlex, John Liechty has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 12 papers in Finance and 11 papers in Marketing. Recurrent topics in John Liechty's work include Consumer Market Behavior and Pricing (11 papers), Economic and Environmental Valuation (9 papers) and Financial Markets and Investment Strategies (8 papers). John Liechty is often cited by papers focused on Consumer Market Behavior and Pricing (11 papers), Economic and Environmental Valuation (9 papers) and Financial Markets and Investment Strategies (8 papers). John Liechty collaborates with scholars based in United States, Netherlands and France. John Liechty's co-authors include Merrill W. Liechty, Alan L. Montgomery, Kannan Srinivasan, Shibo Li, Campbell R. Harvey, Min Ding, Rajdeep Grewal, Peter Müller, Steven H. Cohen and Venkatram Ramaswamy and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Management Science.

In The Last Decade

John Liechty

45 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Liechty United States 17 746 592 383 352 272 47 1.9k
Tom Wansbeek Netherlands 23 381 0.5× 693 1.2× 71 0.2× 186 0.5× 210 0.8× 78 1.7k
Alan L. Montgomery United States 22 1.8k 2.5× 765 1.3× 69 0.2× 494 1.4× 624 2.3× 39 2.8k
Robert F. Bordley United States 18 167 0.2× 345 0.6× 76 0.2× 498 1.4× 134 0.5× 87 1.2k
Peter H. Farquhar United States 16 1.0k 1.4× 435 0.7× 48 0.1× 381 1.1× 472 1.7× 26 1.8k
Antti Kanto Finland 11 342 0.5× 664 1.1× 315 0.8× 126 0.4× 208 0.8× 36 1.3k
Sam K. Hui United States 17 992 1.3× 275 0.5× 55 0.1× 153 0.4× 384 1.4× 36 1.6k
Min Ding United States 20 686 0.9× 465 0.8× 26 0.1× 195 0.6× 195 0.7× 57 1.4k
Sharad Borle United States 14 500 0.7× 155 0.3× 39 0.1× 157 0.4× 235 0.9× 25 1.5k
Chris Shannon United States 13 249 0.3× 1.2k 2.0× 184 0.5× 762 2.2× 117 0.4× 20 2.0k
Maytal Saar‐Tsechansky United States 17 140 0.2× 630 1.1× 1.2k 3.0× 705 2.0× 311 1.1× 47 3.0k

Countries citing papers authored by John Liechty

Since Specialization
Citations

This map shows the geographic impact of John Liechty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Liechty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Liechty more than expected).

Fields of papers citing papers by John Liechty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Liechty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Liechty. The network helps show where John Liechty may publish in the future.

Co-authorship network of co-authors of John Liechty

This figure shows the co-authorship network connecting the top 25 collaborators of John Liechty. A scholar is included among the top collaborators of John Liechty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Liechty. John Liechty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Shibo, John Liechty, & Alan L. Montgomery. (2018). Modeling Category Viewership of Web Users with Multivariate Count Models. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 2 indexed citations
2.
Howell, John R., et al.. (2017). Gremlins in the Data: Identifying the Information Content of Research Subjects. SSRN Electronic Journal. 2 indexed citations
3.
Tibbits, M., et al.. (2013). Automated Factor Slice Sampling. Journal of Computational and Graphical Statistics. 23(2). 543–563. 28 indexed citations
4.
Liechty, John & Richard J. Foster. (2011). Financial Hurricanes. Significance. 8(4). 172–174. 1 indexed citations
5.
Harvey, Campbell R., John Liechty, Merrill W. Liechty, & Peter Müller. (2010). Portfolio selection with higher moments. Quantitative Finance. 10(5). 469–485. 252 indexed citations
6.
Klyachko, A., D.L. Friesel, C. Kline, et al.. (2010). Dose imaging detectors for radiotherapy based on gas electron multipliers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 628(1). 434–439. 8 indexed citations
7.
Liechty, John, et al.. (2009). Bayesian Quadrature Approaches to State-Price Density Estimation. 2 indexed citations
8.
Liechty, Merrill W., John Liechty, & Peter Müller. (2009). The Shadow Prior. Journal of Computational and Graphical Statistics. 18(2). 368–383. 10 indexed citations
9.
Huang, Jing‐Zhi, John Liechty, & Marco Rossi. (2009). Return Smoothing and its Implications for Performance Analysis of Hedge Funds. SSRN Electronic Journal. 1 indexed citations
10.
Wedel, Michel, Rik Pieters, & John Liechty. (2008). Attention switching during scene perception: How goals influence the time course of eye movements across advertisements.. Journal of Experimental Psychology Applied. 14(2). 129–138. 40 indexed citations
11.
Liechty, John, Duncan Κ. H. Fong, K.R.E. Huizingh, & Arnaud De Bruyn. (2008). Hierarchical Bayesian conjoint models incorporating measurement uncertainty. Marketing Letters. 19(2). 141–155. 1 indexed citations
12.
Harvey, Campbell R., John Liechty, & Merrill W. Liechty. (2008). BAYES VS. RESAMPLING: A REMATCH ∗. 24 indexed citations
13.
Bruyn, Arnaud De, John Liechty, K.R.E. Huizingh, & Gary L. Lilien. (2008). Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids. Marketing Science. 27(3). 443–460. 53 indexed citations
14.
Babu, G. Jogesh, et al.. (2007). Data skeletons: simultaneous estimation of multiple quantiles for massive streaming datasets with applications to density estimation. Statistics and Computing. 17(4). 311–321. 7 indexed citations
15.
DeSarbo, Wayne S., et al.. (2005). Evolutionary Preference/Utility Functions: A Dynamic Perspective. SSRN Electronic Journal. 1 indexed citations
16.
Liechty, John, Duncan Κ. H. Fong, & Wayne S. DeSarbo. (2005). Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis. SSRN Electronic Journal. 2 indexed citations
17.
Liechty, John, Duncan Κ. H. Fong, & Wayne S. DeSarbo. (2005). Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis. Marketing Science. 24(2). 285–293. 63 indexed citations
18.
DeSarbo, Wayne S., Duncan Κ. H. Fong, John Liechty, & M. Kim Saxton. (2004). A Hierarchical Bayesian Procedure for Two-Mode Cluster Analysis. SSRN Electronic Journal. 1 indexed citations
19.
Roming, Peter W. A., et al.. (2002). Markov chain Monte Carlo algorithms for optimizing grazing incidence optics for wide-field x-ray survey imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4496. 146–146. 4 indexed citations
20.
Liechty, John, Venkatram Ramaswamy, & Steven H. Cohen. (2001). Choice Menus for Mass Customization: An Experimental Approach for Analyzing Customer Demand with an Application to a Web-Based Information Service. Journal of Marketing Research. 38(2). 183–196. 151 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tom Wansbeek Breakdown of academic impact, for papers by Alan L. Montgomery Breakdown of academic impact, for papers by Robert F. Bordley Breakdown of academic impact, for papers by Peter H. Farquhar Breakdown of academic impact, for papers by Antti Kanto Breakdown of academic impact, for papers by Sam K. Hui Breakdown of academic impact, for papers by Min Ding Breakdown of academic impact, for papers by Sharad Borle Breakdown of academic impact, for papers by Chris Shannon Breakdown of academic impact, for papers by Maytal Saar‐Tsechansky
Rankless by CCL
2026