Arlington W. Williams
- Economics and Econometrics top 0.5%
- Safety Research top 0.1%
- Finance top 0.5%
- Management Science and Operations Research top 0.5%
- General Decision Sciences top 0.5%
- Co-authors
- Vernon L. SmithGerry L. SuchanekJames M. WalkerR. Mark IsaacMark Van BoeningRobert ShuppSusan K. LauryDouglas D. Davis
- Topics
- Experimental Behavioral Economics Studies (23 papers)Auction Theory and Applications (14 papers)Financial Markets and Investment Strategies (13 papers)
- Partner nations
- United StatesNew ZealandChina
In The Last Decade
Arlington W. Williams
41 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Economics and Econometrics 1.6k
- Safety Research 1.4k
- Finance 1.1k
- Management Science and Operations Research 752
- General Decision Sciences 657
Countries citing papers authored by Arlington W. Williams
This map shows the geographic impact of Arlington W. Williams'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 Arlington W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arlington W. Williams more than expected).
Fields of papers citing papers by Arlington W. Williams
This network shows the impact of papers produced by Arlington W. Williams. 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 Arlington W. Williams. The network helps show where Arlington W. Williams may publish in the future.
Co-authorship network of co-authors of Arlington W. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Arlington W. Williams. A scholar is included among the top collaborators of Arlington W. Williams 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 Arlington W. Williams. Arlington W. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 130 | |
| 5 | Price and Volume Reactions to Public Information Releases: An Experimental Approach Incorporating Traders' Subjective Beliefs | 7 |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 67 | |
| 9 | 451 | |
| 10 | 49 | |
| 11 | 60 | |
| 12 | The Robustness of Bubbles and Crashes in Experimental Stock Markets | 181 |
| 13 | 160 | |
| 14 | 46 | |
| 15 | 25 | |
| 16 | The Boundaries of Competitive Price Theory: Expectations, Convergence and Transaction Cost | 1 |
| 17 | 14 | |
| 18 | 28 | |
| 19 | 110 | |
| 20 | 54 |
About Arlington W. Williams
Arlington W. Williams is a scholar working on General Decision Sciences, Safety Research and Finance, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (23 papers), Auction Theory and Applications (14 papers) and Financial Markets and Investment Strategies (13 papers). The work is most often cited by research in General Decision Sciences (657 citations), Safety Research (1.4k citations) and Finance (1.1k citations). Arlington W. Williams has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Vernon L. Smith, Gerry L. Suchanek, James M. Walker, R. Mark Isaac, Vernon L. Smith, Mark Van Boening, Robert Shupp, Susan K. Laury, Douglas D. Davis and Robert R. King. Their work appears in journals such as American Economic Review, Econometrica and The 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.