Alexander Volfovsky

2.4k total citations · 1 hit paper
30 papers, 1.2k citations indexed

About

Alexander Volfovsky is a scholar working on Statistics and Probability, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Alexander Volfovsky has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Sociology and Political Science and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Alexander Volfovsky's work include Advanced Causal Inference Techniques (7 papers), Social Media and Politics (5 papers) and Electoral Systems and Political Participation (4 papers). Alexander Volfovsky is often cited by papers focused on Advanced Causal Inference Techniques (7 papers), Social Media and Politics (5 papers) and Electoral Systems and Political Participation (4 papers). Alexander Volfovsky collaborates with scholars based in United States, Denmark and China. Alexander Volfovsky's co-authors include Christopher A. Bail, Friedolin Merhout, Marcus Mann, Lisa P. Argyle, M. B. Fallin Hunzaker, Haohan Chen, Taylor Brown, Jaemin Lee, D. Sunshine Hillygus and Brian Guay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Alexander Volfovsky

27 papers receiving 1.1k citations

Hit Papers

Exposure to opposing views on social media can increase p... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Volfovsky United States 10 770 646 282 228 211 30 1.2k
Friedolin Merhout United States 7 764 1.0× 650 1.0× 275 1.0× 204 0.9× 209 1.0× 8 1.1k
Marcus Mann United States 6 768 1.0× 579 0.9× 241 0.9× 179 0.8× 222 1.1× 12 1.1k
Lisa P. Argyle United States 6 726 0.9× 587 0.9× 258 0.9× 304 1.3× 210 1.0× 19 1.3k
Taylor Brown United States 8 684 0.9× 567 0.9× 245 0.9× 175 0.8× 191 0.9× 9 1.1k
M. B. Fallin Hunzaker United States 5 734 1.0× 562 0.9× 246 0.9× 172 0.8× 200 0.9× 6 1.1k
Elizabeth Dubois Canada 14 741 1.0× 691 1.1× 214 0.8× 178 0.8× 148 0.7× 47 1.4k
Kevin Munger United States 17 685 0.9× 576 0.9× 104 0.4× 288 1.3× 180 0.9× 42 1.1k
Alexandra Siegel United States 11 769 1.0× 616 1.0× 123 0.4× 304 1.3× 219 1.0× 20 1.1k
Hal Roberts United States 14 1.0k 1.3× 882 1.4× 123 0.4× 362 1.6× 299 1.4× 31 1.7k
Alberto Ardèvol‐Abreu Spain 15 926 1.2× 1.1k 1.6× 128 0.5× 186 0.8× 160 0.8× 39 1.4k

Countries citing papers authored by Alexander Volfovsky

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Volfovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Volfovsky

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

All Works

20 of 20 papers shown
1.
Toulis, Panos, Alexander Volfovsky, & Edoardo M. Airoldi. (2024). Estimating causal effects under non-individualistic treatments due to network entanglement. Biometrika. 112(1).
2.
Sun, Haoqi, Eric S. Rosenthal, Alexander Volfovsky, et al.. (2024). How many patients do you need? Investigating trial designs for anti‐seizure treatment in acute brain injury patients. Annals of Clinical and Translational Neurology. 11(7). 1681–1690. 2 indexed citations
3.
Bu, Fan, Allison E. Aiello, Alexander Volfovsky, & Jason Xu. (2024). Stochastic EM algorithm for partially observed stochastic epidemics with individual heterogeneity. Biostatistics. 26(1).
4.
Argyle, Lisa P., et al.. (2023). Perceived gender and political persuasion: a social media field experiment during the 2020 US Democratic presidential primary election. Scientific Reports. 13(1). 14051–14051. 2 indexed citations
5.
Guay, Brian, et al.. (2023). Reducing political polarization in the United States with a mobile chat platform. Nature Human Behaviour. 7(9). 1454–1461. 24 indexed citations
6.
Sun, Haoqi, Sahar F. Zafar, Wendong Ge, et al.. (2023). Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study. The Lancet Digital Health. 5(8). e495–e502. 14 indexed citations
7.
Volfovsky, Alexander, et al.. (2023). Community informed experimental design. Statistical Methods & Applications. 32(4). 1141–1166. 1 indexed citations
8.
Volfovsky, Alexander, et al.. (2022). Reinforcement Learning Methods in Public Health. Clinical Therapeutics. 44(1). 139–154. 17 indexed citations
9.
Liu, Yameng, et al.. (2021). FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. arXiv (Cornell University). 22(31). 1–41. 15 indexed citations
10.
Brinkley‐Rubinstein, Lauren, et al.. (2021). The association between intersystem prison transfers and COVID-19 incidence in a state prison system. PLoS ONE. 16(8). e0256185–e0256185. 3 indexed citations
12.
Chauhan, Dhaval, et al.. (2021). Postoperative Outcomes in Infants Undergoing ABO-incompatible Heart Transplantation in the United States. The Annals of Thoracic Surgery. 114(5). 1746–1752. 3 indexed citations
13.
Zivich, Paul N., Alexander Volfovsky, James Moody, & Allison E. Aiello. (2021). Assortativity and Bias in Epidemiologic Studies of Contagious Outcomes: A Simulated Example in the Context of Vaccination. American Journal of Epidemiology. 190(11). 2442–2452. 4 indexed citations
14.
Metternich, Nils W., et al.. (2019). Multiple Imputation Using Gaussian Copulas. UCL Discovery (University College London). 4 indexed citations
15.
Hollenbach, Florian M, Iavor Bojinov, Shahryar Minhas, et al.. (2018). Multiple Imputation Using Gaussian Copulas. Sociological Methods & Research. 50(3). 1259–1283. 20 indexed citations
16.
Hollenbach, Florian M, Iavor Bojinov, Shahryar Minhas, et al.. (2014). Principled Imputation Made Simple: Multiple Imputation Using Gaussian Copulas. arXiv (Cornell University). 1 indexed citations
17.
Volfovsky, Alexander & Peter D. Hoff. (2014). Hierarchical array priors for ANOVA decompositions of cross-classified data. The Annals of Applied Statistics. 8(1). 19–47. 4 indexed citations
18.
Volfovsky, Alexander & Peter D. Hoff. (2014). Testing for Nodal Dependence in Relational Data Matrices. Journal of the American Statistical Association. 110(511). 1037–1046. 1 indexed citations
19.
Hoff, Peter D., Bailey K. Fosdick, Alexander Volfovsky, & Katherine Stovel. (2013). Likelihoods for fixed rank nomination networks. Network Science. 1(3). 253–277. 21 indexed citations
20.
Volfovsky, Alexander & Peter D. Hoff. (2012). Hierarchical array priors for ANOVA decompositions. arXiv (Cornell University). 2 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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