John Liechty
Impact in
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics
- Marketing top 1%
- Consumer Market Behavior and Pricing
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
Papers in
-
- Economic and Environmental Valuation 9
- Market Dynamics and Volatility 5
- Finance 14
- Financial Markets and Investment Strategies 8
- Financial Risk and Volatility Modeling 6
- Stochastic processes and financial applications 4
- Co-authors
- Alan L. Montgomery (2 shared papers)Merrill W. Liechty (4 shared papers)Shibo Li (2 shared papers)Kannan Srinivasan (1 shared paper)Campbell R. Harvey (3 shared papers)Min Ding (2 shared papers)Rajdeep Grewal (2 shared papers)Peter Müller (2 shared papers)
- Journals
- Psychometrika (5 papers)Journal of Marketing Research (3 papers)Statistics and Computing (3 papers)Marketing Science (3 papers)Marketing Letters (2 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
John Liechty
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 124
- General Decision Sciences 175
- Marketing 823
- Finance 410
- Management Science and Operations Research 382
- Economics and Econometrics 655
Countries citing papers authored by John Liechty
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
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-authors
The 25 scholars most cited alongside John Liechty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 453 | |
| 2 | 2010 | 264 | |
| 3 | 2005 | 261 | |
| 4 | 2001 | 170 | |
| 5 | 2004 | 144 | |
| 6 | 2003 | 110 | |
| 7 | 2008 | 102 | |
| 8 | 2004 | 79 | |
| 9 | 2005 | 69 | |
| 10 | 2008 | 59 | |
| 11 | 2008 | 44 | |
| 12 | 2008 | 35 | |
| 13 | 2013 | 29 | |
| 14 | BAYES VS. RESAMPLING: A REMATCH ∗ | 2008 | 25 |
| 15 | 2011 | 22 | |
| 16 | 2001 | 21 | |
| 17 | 2010 | 20 | |
| 18 | 2005 | 19 | |
| 19 | 2008 | 16 | |
| 20 | 2014 | 15 |
About John Liechty
John Liechty is a scholar working on Economics and Econometrics, Finance, Marketing, Artificial Intelligence and Statistics and Probability, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (11 papers), Economic and Environmental Valuation (9 papers), Financial Markets and Investment Strategies (8 papers), Bayesian Methods and Mixture Models (7 papers), Financial Risk and Volatility Modeling (6 papers), Market Dynamics and Volatility (5 papers), Stochastic processes and financial applications (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in General Decision Sciences (175 citations), Marketing (823 citations), Finance (410 citations), Management Science and Operations Research (382 citations) and Economics and Econometrics (655 citations). John Liechty has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Alan L. Montgomery, Merrill W. Liechty, Shibo Li, Kannan Srinivasan, Campbell R. Harvey, Min Ding, Rajdeep Grewal, Peter Müller, Steven H. Cohen and Venkatram Ramaswamy. Their work appears in journals such as Psychometrika, Journal of Marketing Research, Statistics and Computing, Marketing Science and Marketing Letters.
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.