Christopher L. Skeels
- Economics and Econometrics top 10%
- General Economics, Econometrics and Finance top 10%
- Statistics and Probability top 5%
- Accounting top 10%
- Finance top 10%
- Co-authors
- David A. HarrisFrancis VellaKent LyonsThad StarnerBruce NealCliona Ní MhurchúTony BlakelyKevin E. Staub
- Topics
- Statistical Methods and Inference (9 papers)Monetary Policy and Economic Impact (8 papers)Advanced Statistical Methods and Models (6 papers)
- Cited by
- General Economics, Econometrics and FinanceStatistics and ProbabilityHuman-Computer Interaction
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Christopher L. Skeels
31 papers receiving 300 citations
Peers
Comparison fields: 5 of 93
- Economics and Econometrics 107
- General Economics, Econometrics and Finance 57
- Statistics and Probability 54
- Accounting 48
- Finance 45
Countries citing papers authored by Christopher L. Skeels
This map shows the geographic impact of Christopher L. Skeels'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 Christopher L. Skeels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher L. Skeels more than expected).
Fields of papers citing papers by Christopher L. Skeels
This network shows the impact of papers produced by Christopher L. Skeels. 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 Christopher L. Skeels. The network helps show where Christopher L. Skeels may publish in the future.
Co-authorship network of co-authors of Christopher L. Skeels
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher L. Skeels. A scholar is included among the top collaborators of Christopher L. Skeels 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 Christopher L. Skeels. Christopher L. Skeels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 32 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | 17 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | The effect of estimator behaviour on conditional moment tests in Tobit and Probit models. | 1 |
| 20 | 22 |
About Christopher L. Skeels
Christopher L. Skeels is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 33 papers that have together received 337 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Monetary Policy and Economic Impact (8 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (57 citations), Statistics and Probability (54 citations) and Human-Computer Interaction (27 citations). Christopher L. Skeels has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David A. Harris, Francis Vella, Kent Lyons, Thad Starner, Bruce Neal, Cliona Ní Mhurchú, Tony Blakely, Kevin E. Staub, Larry W. Taylor and Roger Koenker. Their work appears in journals such as PLoS Medicine, Journal of Econometrics and Economics Letters.
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.