Ann Marie Hibbert
- Finance top 2%
- Economics and Econometrics top 5%
- Accounting top 5%
- General Economics, Econometrics and Finance top 10%
- Strategy and Management
- Co-authors
- Robert T. DaiglerBrice V. DupoyetEdward R. LawrenceArun J. PrakashIvelina PavlovaKrishnan DandapaniChen GuAlok Kumar
- Topics
- Financial Markets and Investment Strategies (11 papers)Corporate Finance and Governance (7 papers)Market Dynamics and Volatility (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Financial EconomicsJournal of Banking & Finance
- Partner nations
- United StatesChina
In The Last Decade
Ann Marie Hibbert
23 papers receiving 412 citations
Peers
Comparison fields: 5 of 37
- Finance 286
- Economics and Econometrics 276
- Accounting 139
- General Economics, Econometrics and Finance 72
- Strategy and Management 25
Countries citing papers authored by Ann Marie Hibbert
This map shows the geographic impact of Ann Marie Hibbert'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 Ann Marie Hibbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Marie Hibbert more than expected).
Fields of papers citing papers by Ann Marie Hibbert
This network shows the impact of papers produced by Ann Marie Hibbert. 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 Ann Marie Hibbert. The network helps show where Ann Marie Hibbert may publish in the future.
Co-authorship network of co-authors of Ann Marie Hibbert
This figure shows the co-authorship network connecting the top 25 collaborators of Ann Marie Hibbert. A scholar is included among the top collaborators of Ann Marie Hibbert 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 Ann Marie Hibbert. Ann Marie Hibbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 27 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | ARE WOMEN MORE RISK-AVERSE THAN MEN? | 0 |
| 20 | 13 |
About Ann Marie Hibbert
Ann Marie Hibbert is a scholar working on Finance, General Decision Sciences and Accounting, having authored 24 papers that have together received 430 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (11 papers), Corporate Finance and Governance (7 papers) and Market Dynamics and Volatility (6 papers). The work is most often cited by research in Finance (286 citations), Accounting (139 citations) and General Decision Sciences (21 citations). Ann Marie Hibbert has collaborated with scholars based in United States and China. Frequent co-authors include Robert T. Daigler, Brice V. Dupoyet, Edward R. Lawrence, Arun J. Prakash, Ivelina Pavlova, Krishnan Dandapani, Chen Gu, Alok Kumar, Suchismita Mishra and Qiang Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Financial Economics and Journal of Banking & Finance.
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.