Merrill W. Liechty
- Finance top 2%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- General Economics, Econometrics and Finance top 5%
- Strategy and Management top 10%
- Co-authors
- John LiechtyCampbell R. HarveyPeter MüllerCarlos MenaBelarmino Adenso‐DíazBenjamin LevYan TuXiaoyang Zhou
- Topics
- Risk and Portfolio Optimization (5 papers)Financial Markets and Investment Strategies (4 papers)Monetary Policy and Economic Impact (3 papers)
- Cited by
- FinanceManagement Science and Operations ResearchGeneral Economics, Econometrics and Finance
- Journals
- Resources Conservation and RecyclingKnowledge-Based SystemsSupply Chain Management An International Journal
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Merrill W. Liechty
10 papers receiving 545 citations
Peers
Comparison fields: 5 of 62
- Finance 325
- Economics and Econometrics 215
- Management Science and Operations Research 189
- General Economics, Econometrics and Finance 88
- Strategy and Management 66
Countries citing papers authored by Merrill W. Liechty
This map shows the geographic impact of Merrill W. 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 Merrill W. Liechty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merrill W. Liechty more than expected).
Fields of papers citing papers by Merrill W. Liechty
This network shows the impact of papers produced by Merrill W. 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 Merrill W. Liechty. The network helps show where Merrill W. Liechty may publish in the future.
Co-authorship network of co-authors of Merrill W. Liechty
This figure shows the co-authorship network connecting the top 25 collaborators of Merrill W. Liechty. A scholar is included among the top collaborators of Merrill W. 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 Merrill W. Liechty. Merrill W. Liechty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 59 | |
| 4 | 14 | |
| 5 | 59 | |
| 6 | 252 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | BAYES VS. RESAMPLING: A REMATCH ∗ | 24 |
| 10 | 2 | |
| 11 | 131 | |
| 12 | COVARIANCE MATRICES AND SKEWNESS: MODELING AND APPLICATIONS IN FINANCE | 1 |
About Merrill W. Liechty
Merrill W. Liechty is a scholar working on Finance, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (5 papers), Financial Markets and Investment Strategies (4 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Finance (325 citations), Management Science and Operations Research (189 citations) and General Economics, Econometrics and Finance (88 citations). Merrill W. Liechty has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John Liechty, Campbell R. Harvey, Peter Müller, Carlos Mena, Belarmino Adenso‐Díaz, Benjamin Lev, Yan Tu, Xiaoyang Zhou, Jingjing Lu and Zongmin Li. Their work appears in journals such as Resources Conservation and Recycling, Knowledge-Based Systems and Supply Chain Management An International Journal.
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.