William J. Luther
- Information Systems top 1%
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 2%
- Finance top 5%
- Strategy and Management top 5%
- Co-authors
- Joshua R. HendricksonAlexander William SalterThomas L. HoganLawrence H. WhiteMark R. CohenSean Stein SmithRoger KopplJerry L. Jordan
- Topics
- Economic theories and models (40 papers)Economic Theory and Policy (33 papers)Blockchain Technology Applications and Security (27 papers)
- Partner nations
- United StatesItaly
In The Last Decade
William J. Luther
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 56
- Information Systems 634
- Economics and Econometrics 634
- General Economics, Econometrics and Finance 262
- Finance 207
- Strategy and Management 156
Countries citing papers authored by William J. Luther
This map shows the geographic impact of William J. Luther'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 William J. Luther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Luther more than expected).
Fields of papers citing papers by William J. Luther
This network shows the impact of papers produced by William J. Luther. 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 William J. Luther. The network helps show where William J. Luther may publish in the future.
Co-authorship network of co-authors of William J. Luther
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Luther. A scholar is included among the top collaborators of William J. Luther 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 William J. Luther. William J. Luther is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Legal Factors Affecting the Establishment of Township SMMEs in South Africa: Are They Killing Small Businesses? | 1 |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 43 | |
| 7 | Austrian Macroeconomics in Search of Its Uniqueness | 3 |
| 8 | Is Bitcoin Intrinsically Worthless | 8 |
| 9 | 0 | |
| 10 | 93 | |
| 11 | 2 | |
| 12 | Using NPR's Planet Money Podcast in Principles of Macroeconomics | 0 |
| 13 | 60 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About William J. Luther
William J. Luther is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Economic theories and models (40 papers), Economic Theory and Policy (33 papers) and Blockchain Technology Applications and Security (27 papers). The work is most often cited by research in General Economics, Econometrics and Finance (262 citations), Information Systems (634 citations) and Economics and Econometrics (634 citations). William J. Luther has collaborated with scholars based in United States and Italy. Frequent co-authors include Joshua R. Hendrickson, Alexander William Salter, Thomas L. Hogan, Lawrence H. White, Mark R. Cohen, Sean Stein Smith, Roger Koppl, Jerry L. Jordan, Steven Horwitz and Nicolás Cachanosky. Their work appears in journals such as Journal of Economic Behavior & Organization, Economics Letters and Southern Economic 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.