Matthew A. Carlton
- Artificial Intelligence
- Electrical and Electronic Engineering
- Statistics and Probability top 10%
- Statistics, Probability and Uncertainty top 10%
- Aerospace Engineering
- Topics
- Demographic Trends and Gender Preferences (4 papers)Statistics Education and Methodologies (3 papers)Global Maternal and Child Health (3 papers)
- Cited by
- Nuclear Energy and EngineeringStatistics, Probability and UncertaintyStatistics and Probability
- Journals
- Journal of the American Statistical AssociationThe American StatisticianJournal of Applied Probability
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew A. Carlton
15 papers receiving 258 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 49
- Electrical and Electronic Engineering 27
- Statistics and Probability 26
- Statistics, Probability and Uncertainty 24
- Aerospace Engineering 23
Countries citing papers authored by Matthew A. Carlton
This map shows the geographic impact of Matthew A. Carlton'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 Matthew A. Carlton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Carlton more than expected).
Fields of papers citing papers by Matthew A. Carlton
This network shows the impact of papers produced by Matthew A. Carlton. 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 Matthew A. Carlton. The network helps show where Matthew A. Carlton may publish in the future.
Co-authorship network of co-authors of Matthew A. Carlton
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Carlton. A scholar is included among the top collaborators of Matthew A. Carlton 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 Matthew A. Carlton. Matthew A. Carlton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | 161 |
About Matthew A. Carlton
Matthew A. Carlton is a scholar working on Gender Studies, Statistics and Probability and Demography, having authored 18 papers that have together received 281 indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (4 papers), Statistics Education and Methodologies (3 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Nuclear Energy and Engineering (3 citations), Statistics, Probability and Uncertainty (24 citations) and Statistics and Probability (26 citations). Matthew A. Carlton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Siegmund Brandt, Jay L. Devore, William D. Stansfield, Kenneth N. Berk and John Campbell. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician and Journal of Applied Probability.
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.