Sallie Keller‐McNulty
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Stephanie ShippVicki LancasterGizem KorkmazJames J. HigginsLeslie M. MooreMichael D. McKayBrian J. WilliamsDave Higdon
- Topics
- Privacy-Preserving Technologies in Data (5 papers)Data Quality and Management (5 papers)Privacy, Security, and Data Protection (3 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Sallie Keller‐McNulty
46 papers receiving 397 citations
Peers
Comparison fields: 5 of 125
- Statistics, Probability and Uncertainty 98
- Artificial Intelligence 74
- Management Science and Operations Research 66
- Statistics and Probability 63
- Computational Theory and Mathematics 36
Countries citing papers authored by Sallie Keller‐McNulty
This map shows the geographic impact of Sallie Keller‐McNulty'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 Sallie Keller‐McNulty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sallie Keller‐McNulty more than expected).
Fields of papers citing papers by Sallie Keller‐McNulty
This network shows the impact of papers produced by Sallie Keller‐McNulty. 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 Sallie Keller‐McNulty. The network helps show where Sallie Keller‐McNulty may publish in the future.
Co-authorship network of co-authors of Sallie Keller‐McNulty
This figure shows the co-authorship network connecting the top 25 collaborators of Sallie Keller‐McNulty. A scholar is included among the top collaborators of Sallie Keller‐McNulty 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 Sallie Keller‐McNulty. Sallie Keller‐McNulty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | Can Administrative Housing Data Replace Survey Data | 5 |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 9 | |
| 12 | Towards an in silico Experimental Platform for Air Quality: Houston, TX as a Case Study | 2 |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 32 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 1 | |
| 19 | The protection of confidential data. | 3 |
| 20 | 1 |
About Sallie Keller‐McNulty
Sallie Keller‐McNulty is a scholar working on Computer Science Applications, Software and Management Science and Operations Research, having authored 49 papers that have together received 421 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Data Quality and Management (5 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (98 citations), Statistics and Probability (63 citations) and Management Science and Operations Research (66 citations). Sallie Keller‐McNulty has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Stephanie Shipp, Vicki Lancaster, Gizem Korkmaz, James J. Higgins, Leslie M. Moore, Michael D. McKay, Brian J. Williams, Dave Higdon, James Gattiker and Nikolaos Limnios. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.