Elaine Zanutto

1.8k total citations
17 papers, 1.1k citations indexed

About

Elaine Zanutto is a scholar working on Statistics and Probability, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Elaine Zanutto has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Sociology and Political Science and 4 papers in Economics and Econometrics. Recurrent topics in Elaine Zanutto's work include Advanced Causal Inference Techniques (8 papers), School Choice and Performance (4 papers) and Social and Intergroup Psychology (3 papers). Elaine Zanutto is often cited by papers focused on Advanced Causal Inference Techniques (8 papers), School Choice and Performance (4 papers) and Social and Intergroup Psychology (3 papers). Elaine Zanutto collaborates with scholars based in United States, Australia and Netherlands. Elaine Zanutto's co-authors include Karen A. Jehn, Katerina Bezrukova, Robert Hornik, Sherry M. B. Thatcher, Bo Lü, Elizabeth A. Stuart, Donald B. Rubin, Paul R. Rosenbaum, Itzhak Yanovitzky and Eric T. Bradlow and has published in prestigious journals such as Journal of the American Statistical Association, Organization Science and Industrial and Labor Relations Review.

In The Last Decade

Elaine Zanutto

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elaine Zanutto United States 13 247 225 196 184 177 17 1.1k
Catherine Marsh United Kingdom 19 44 0.2× 473 2.1× 61 0.3× 67 0.4× 79 0.4× 44 1.2k
Andrew S. Fullerton United States 17 56 0.2× 391 1.7× 90 0.5× 59 0.3× 39 0.2× 42 1.1k
Spiro Maroulis United States 14 31 0.1× 238 1.1× 28 0.1× 177 1.0× 102 0.6× 32 858
Geert Loosveldt Belgium 24 394 1.6× 1.3k 5.7× 52 0.3× 54 0.3× 101 0.6× 117 1.7k
Kristen Olson United States 21 275 1.1× 974 4.3× 36 0.2× 86 0.5× 71 0.4× 87 1.7k
J. S. Butler United States 25 97 0.4× 430 1.9× 179 0.9× 205 1.1× 14 0.1× 88 1.9k
Abel Brodeur Canada 14 101 0.4× 311 1.4× 48 0.2× 33 0.2× 29 0.2× 39 1.5k
Barry V. Bye United States 6 63 0.3× 311 1.4× 94 0.5× 31 0.2× 91 0.5× 13 1.0k
Clayton Nall United States 11 104 0.4× 352 1.6× 68 0.3× 47 0.3× 26 0.1× 20 987
John C. Hennessey United States 7 51 0.2× 283 1.3× 92 0.5× 26 0.1× 90 0.5× 12 925

Countries citing papers authored by Elaine Zanutto

Since Specialization
Citations

This map shows the geographic impact of Elaine Zanutto'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 Elaine Zanutto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Zanutto more than expected).

Fields of papers citing papers by Elaine Zanutto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elaine Zanutto. 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 Elaine Zanutto. The network helps show where Elaine Zanutto may publish in the future.

Co-authorship network of co-authors of Elaine Zanutto

This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Zanutto. A scholar is included among the top collaborators of Elaine Zanutto 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 Elaine Zanutto. Elaine Zanutto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zanutto, Elaine. (2021). A Comparison of Propensity Score and Linear Regression Analysis of Complex Survey Data. Journal of Data Science. 4(1). 67–91. 23 indexed citations
2.
Schofield, Ryan, Heather Landau, Sergio Giralt, et al.. (2019). Measurement of the DNA alkylating agents busulfan and melphalan in human plasma by mass spectrometry. Journal of Chromatography B. 1125. 121711–121711. 9 indexed citations
3.
Zanutto, Elaine, Katerina Bezrukova, & Karen A. Jehn. (2010). Revisiting faultline conceptualization: measuring faultline strength and distance. Quality & Quantity. 45(3). 701–714. 51 indexed citations
4.
Lichtenstein, Gary R., Heidi C. Waters, Susan McDonald, et al.. (2010). Assessing Drug Treatment Preferences of Patients with Crohnʼs Disease. Patient. 3(2). 113–123. 16 indexed citations
5.
Polster, Michael R., Elaine Zanutto, Susan McDonald, Christopher S. Conner, & Mette Hammer. (2010). A comparison of preferences for two GLP-1 products – liraglutide and exenatide – for the treatment of type 2 diabetes. Journal of Medical Economics. 13(4). 655–661. 53 indexed citations
6.
Bezrukova, Katerina, Karen A. Jehn, Elaine Zanutto, & Sherry M. B. Thatcher. (2008). Do Workgroup Faultlines Help or Hurt? A Moderated Model of Faultlines, Team Identification, and Group Performance. Organization Science. 20(1). 35–50. 340 indexed citations
7.
Zanutto, Elaine & Eric T. Bradlow. (2006). Data pruning in consumer choice models. Quantitative Marketing and Economics. 4(3). 267–287. 31 indexed citations
8.
Yanovitzky, Itzhak, Elaine Zanutto, & Robert Hornik. (2005). Estimating causal effects of public health education campaigns using propensity score methodology. Evaluation and Program Planning. 28(2). 209–220. 90 indexed citations
9.
Reiter, Jerome P., Elaine Zanutto, & Larry W. Hunter. (2005). Analytical Modeling in Complex Surveys of Work Practices. Industrial and Labor Relations Review. 59(1). 82–100. 19 indexed citations
10.
Bezrukova, Katerina, Karen A. Jehn, Elaine Zanutto, & Sherry M. B. Thatcher. (2005). Do Faultlines Hurt or Help? Exploring Distance, Identity, Task Conflict, and Individual Performance in Diverse Groups. SSRN Electronic Journal. 3 indexed citations
11.
Zanutto, Elaine, Bo Lü, & Robert Hornik. (2005). Using Propensity Score Subclassification for Multiple Treatment Doses to Evaluate a National Antidrug Media Campaign. Journal of Educational and Behavioral Statistics. 30(1). 59–73. 83 indexed citations
12.
Marcus, Sue M., et al.. (2004). Effects of Advanced Course-taking on Math and Science Achievement: Addressing Selection Bias Using Propensity Scores. American Journal of Evaluation. 25(4). 461–478. 36 indexed citations
13.
Elliott, Michael R., et al.. (2004). Causal Models for Randomized Physician Encouragement Trials in Treating Primary Care Depression. Journal of the American Statistical Association. 99(465). 16–25. 36 indexed citations
14.
Rubin, Donald B., Elizabeth A. Stuart, & Elaine Zanutto. (2004). A Potential Outcomes View of Value-Added Assessment in Education. Journal of Educational and Behavioral Statistics. 29(1). 103–116. 141 indexed citations
15.
Hornik, Robert, Lela Jacobsohn, Robert G. Orwin, et al.. (2003). Evaluation of the National Youth Anti-Drug Campaign: Fourth Semi-Annual Report of Findings. Executive Summary.. 5 indexed citations
16.
Bezrukova, Katerina, Karen A. Jehn, & Elaine Zanutto. (2002). A Field Study of Group Faultlines, Team Identity, Conflict, and Performance in Organizational Groups. SSRN Electronic Journal. 6 indexed citations
17.
Lü, Bo, Elaine Zanutto, Robert Hornik, & Paul R. Rosenbaum. (2001). Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse. Journal of the American Statistical Association. 96(456). 1245–1253. 152 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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