Sallie Keller‐McNulty

827 total citations
49 papers, 421 citations indexed

About

Sallie Keller‐McNulty is a scholar working on Management Science and Operations Research, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Sallie Keller‐McNulty has authored 49 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 6 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Sallie Keller‐McNulty's work include Privacy-Preserving Technologies in Data (5 papers), Data Quality and Management (5 papers) and Privacy, Security, and Data Protection (3 papers). Sallie Keller‐McNulty is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Data Quality and Management (5 papers) and Privacy, Security, and Data Protection (3 papers). Sallie Keller‐McNulty collaborates with scholars based in United States, Netherlands and France. Sallie Keller‐McNulty's co-authors include Stephanie Shipp, Vicki Lancaster, Gizem Korkmaz, James J. Higgins, James Gattiker, Leslie M. Moore, Dave Higdon, Michael D. McKay, Brian J. Williams and Alyson G. Wilson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sallie Keller‐McNulty

46 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sallie Keller‐McNulty United States	11	98	74	66	63	36	49	421
Xue‐Feng Ding China	11	79 0.8×	56 0.8×	276 4.2×	34 0.5×	44 1.2×	20	456
Guglielmo D’Amico Italy	17	74 0.8×	62 0.8×	137 2.1×	56 0.9×	35 1.0×	122	955
Raimondo Manca Italy	15	69 0.7×	51 0.7×	176 2.7×	91 1.4×	49 1.4×	74	823
Yuzhen Han China	6	44 0.4×	118 1.6×	243 3.7×	65 1.0×	70 1.9×	7	416
Peter Morgan United Kingdom	10	27 0.3×	142 1.9×	179 2.7×	25 0.4×	77 2.1×	28	600
Kandethody M. Ramachandran United States	8	27 0.3×	57 0.8×	50 0.8×	62 1.0×	46 1.3×	27	564
Nicholas R. Farnum United States	9	129 1.3×	44 0.6×	113 1.7×	127 2.0×	15 0.4×	32	420
Roberto Szechtman United States	12	55 0.6×	47 0.6×	149 2.3×	20 0.3×	51 1.4×	32	354
H. Grant Canada	4	31 0.3×	34 0.5×	162 2.5×	27 0.4×	38 1.1×	7	477

Countries citing papers authored by Sallie Keller‐McNulty

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Jarmin, Ron S., John M. Abowd, Nathan Goldschlag, et al.. (2023). An in-depth examination of requirements for disclosure risk assessment. Proceedings of the National Academy of Sciences. 120(43). e2220558120–e2220558120. 3 indexed citations

Lancaster, Vicki, et al.. (2021). Examining the population level and individual level longitudinal stability of psychosocial measures in the US Army’s Global Assessment Tool (GAT). Military Psychology. 34(2). 197–210. 1 indexed citations

Goldstein, Joshua, et al.. (2019). Modeling Response Time to Structure Fires. The American Statistician. 75(1). 92–100. 3 indexed citations

Duncan, George T., Sallie Keller‐McNulty, & S. Lynne Stokes. (2018). Disclosure Risk vs. Data Utility through the R-U Confidentiality Map in Multivariate Settings. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).

Duncan, George T., Sallie Keller‐McNulty, & S. Lynne Stokes. (2018). Disclosure Risk vs. Data Utility: The R-U Confidentiality Map. Figshare. 8 indexed citations

Keller‐McNulty, Sallie, Gizem Korkmaz, Carol A. Robbins, & Stephanie Shipp. (2018). Opportunities to observe and measure intangible inputs to innovation: Definitions, operationalization, and examples. Proceedings of the National Academy of Sciences. 115(50). 12638–12645. 12 indexed citations

Korkmaz, Gizem, et al.. (2018). Modeling the Impact of R Packages Using Dependency and Contributor Networks. 511–514. 7 indexed citations

Lancaster, Vicki, et al.. (2017). A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System. The American Statistician. 72(2). 191–198. 2 indexed citations

Korkmaz, Gizem, et al.. (2017). Can Administrative Housing Data Replace Survey Data. VTechWorks (Virginia Tech). 19(1). 265. 5 indexed citations

10.

Goldstein, Joshua, Dave Higdon, Gizem Korkmaz, et al.. (2017). A Bayesian simulation approach for supply chain synchronization. 2017 Winter Simulation Conference (WSC). 1571–1582. 3 indexed citations

11.

Korkmaz, Gizem, et al.. (2015). Towards an in silico Experimental Platform for Air Quality: Houston, TX as a Case Study. VTechWorks (Virginia Tech). 2 indexed citations

12.

Keller‐McNulty, Sallie, Charles Nakhleh, & Nozer D. Singpurwalla. (2006). A Paradigm for Masking (Camouflaging) Information. International Statistical Review. 73(3). 331–349. 5 indexed citations

13.

Keller‐McNulty, Sallie, Alyson G. Wilson, & Christine M. Anderson‐Cook. (2006). Reliability. Statistical Science. 21(4). 1 indexed citations

14.

Wilson, Alyson G., et al.. (2005). Modern Statistical and Mathematical Methods in Reliability. 32 indexed citations

15.

Keller‐McNulty, Sallie, et al.. (2005). The Impact of Technology on the Scientific Method. CHANCE. 18(4). 4–8. 1 indexed citations

16.

Booker, Jane M., et al.. (2003). Testing the untestable: reliability in the 21st century. IEEE Transactions on Reliability. 52(1). 118–124. 14 indexed citations

17.

Lancaster, Vicki & Sallie Keller‐McNulty. (1998). A Review of Composite Sampling Methods. Journal of the American Statistical Association. 93(443). 1216–1230. 32 indexed citations

18.

Becker, Richard A. & Sallie Keller‐McNulty. (1996). Presentation Myths. The American Statistician. 50(2). 112–115. 1 indexed citations

19.

Keller‐McNulty, Sallie, M. S. McNulty, & Ewald Unger. (1989). The protection of confidential data.. 215–219. 3 indexed citations

20.

Keller‐McNulty, Sallie & William J. Kennedy. (1985). Error-free computation of a reflesive generalized inverse. Linear Algebra and its Applications. 67. 157–167. 1 indexed citations

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.

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