Donald B. Hausch
- Economics and Econometrics top 2%
- Management Science and Operations Research top 1%
- Marketing top 2%
- Accounting top 5%
- Finance top 5%
- Co-authors
- Yeon‐Koo CheWilliam T. ZiembaMark RubinsteinIan GaleLode LiJames K. SewardVictor S. Y. LoMark Stegeman
- Topics
- Auction Theory and Applications (8 papers)Corporate Finance and Governance (7 papers)Consumer Market Behavior and Pricing (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Donald B. Hausch
23 papers receiving 844 citations
Peers
Comparison fields: 5 of 68
- Economics and Econometrics 595
- Management Science and Operations Research 465
- Marketing 292
- Accounting 149
- Finance 148
Countries citing papers authored by Donald B. Hausch
This map shows the geographic impact of Donald B. Hausch'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 Donald B. Hausch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald B. Hausch more than expected).
Fields of papers citing papers by Donald B. Hausch
This network shows the impact of papers produced by Donald B. Hausch. 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 Donald B. Hausch. The network helps show where Donald B. Hausch may publish in the future.
Co-authorship network of co-authors of Donald B. Hausch
This figure shows the co-authorship network connecting the top 25 collaborators of Donald B. Hausch. A scholar is included among the top collaborators of Donald B. Hausch 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 Donald B. Hausch. Donald B. Hausch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | 321 | |
| 7 | 1 | |
| 8 | Mitigating the Corporate Valuation Problem in Chapter 11 Reorganizations: Transferable Put Rights and Contingent Value Rights | 1 |
| 9 | 57 | |
| 10 | 44 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 30 | |
| 14 | 37 | |
| 15 | 18 | |
| 16 | 84 | |
| 17 | 40 | |
| 18 | Dr. Z's Beat the Racetrack | 11 |
| 19 | 26 | |
| 20 | 136 |
About Donald B. Hausch
Donald B. Hausch is a scholar working on Marketing, Management Science and Operations Research and Accounting, having authored 25 papers that have together received 961 indexed citations. Recurring topics across this work include Auction Theory and Applications (8 papers), Corporate Finance and Governance (7 papers) and Consumer Market Behavior and Pricing (7 papers). The work is most often cited by research in Management Science and Operations Research (465 citations), General Decision Sciences (63 citations) and Marketing (292 citations). Donald B. Hausch has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yeon‐Koo Che, William T. Ziemba, Mark Rubinstein, Ian Gale, Lode Li, James K. Seward, Victor S. Y. Lo, Mark Stegeman, Danny Samson and Dennis E. Logue. Their work appears in journals such as Journal of the American Statistical Association, American Economic Review and Management Science.
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.