Joseph Antonelli

507 total citations
23 papers, 270 citations indexed

About

Joseph Antonelli is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Sociology and Political Science. According to data from OpenAlex, Joseph Antonelli has authored 23 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Health, Toxicology and Mutagenesis and 3 papers in Sociology and Political Science. Recurrent topics in Joseph Antonelli's work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Joseph Antonelli is often cited by papers focused on Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Joseph Antonelli collaborates with scholars based in United States, Canada and Israel. Joseph Antonelli's co-authors include Qian Di, Joel Schwartz, Francesca Dominici, David Cutler, Maggie Makar, Susan Nittrouer, Matthew Cefalu, Joanna H. Lowenstein, Denis Agniel and Brent A. Coull and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and American Journal of Epidemiology.

In The Last Decade

Joseph Antonelli

22 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Antonelli United States 8 93 56 51 27 20 23 270
Chanmin Kim South Korea 10 43 0.5× 85 1.5× 11 0.2× 3 0.1× 23 1.1× 28 268
Matthieu Marbac France 9 23 0.2× 33 0.6× 17 0.3× 8 0.3× 21 1.1× 21 236
Elizabeth A. Gibson United States 13 350 3.8× 13 0.2× 18 0.4× 1 0.0× 14 0.7× 18 490
Valérie Garès France 8 66 0.7× 39 0.7× 7 0.1× 1 0.0× 33 1.6× 19 280
Jiabei Yang United States 7 121 1.3× 27 0.5× 11 0.2× 1 0.0× 35 1.8× 12 236
Takashi Funatogawa Japan 10 17 0.2× 59 1.1× 21 0.4× 3 0.1× 33 1.6× 26 305
M. Mushfiqur Rashid United States 4 7 0.1× 101 1.8× 10 0.2× 6 0.2× 16 0.8× 13 289
Brianna Heggeseth United States 9 80 0.9× 12 0.2× 11 0.2× 1 0.0× 9 0.5× 18 275
Xiaona Yin China 12 63 0.7× 3 0.1× 42 0.8× 2 0.1× 3 0.1× 40 330
G E Dinse United States 11 160 1.7× 51 0.9× 19 0.4× 14 0.7× 13 400

Countries citing papers authored by Joseph Antonelli

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Antonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Antonelli

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Antonelli. A scholar is included among the top collaborators of Joseph Antonelli 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 Joseph Antonelli. Joseph Antonelli 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.
Beck, Brenden, et al.. (2024). Neck‐restraint bans, law enforcement officer unions, and police killings. Criminology & Public Policy. 23(3). 663–688. 3 indexed citations
2.
Rudolph, Kara E., et al.. (2023). All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples. SHILAP Revista de lepidopterología. 11(1). 2 indexed citations
3.
Antonelli, Joseph, et al.. (2023). Improved Inference for Doubly Robust Estimators of Heterogeneous Treatment Effects. Biometrics. 79(4). 3140–3152. 1 indexed citations
4.
Antonelli, Joseph & Brenden Beck. (2023). Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 772–787. 2 indexed citations
5.
Beck, Brenden, et al.. (2022). Effects of New York City’s Neighborhood Policing Policy. Police Quarterly. 25(4). 470–496. 1 indexed citations
6.
Antonelli, Joseph, Ander Wilson, & Brent A. Coull. (2022). Multiple exposure distributed lag models with variable selection. Biostatistics. 25(1). 1–19. 10 indexed citations
7.
Nittrouer, Susan, Joseph Antonelli, & Joanna H. Lowenstein. (2022). The emergence of bifurcated structure in children’s language.. Journal of Experimental Psychology General. 151(12). 3045–3059. 3 indexed citations
8.
Linero, Antonio R. & Joseph Antonelli. (2022). The how and why of Bayesian nonparametric causal inference. Wiley Interdisciplinary Reviews Computational Statistics. 15(1). 9 indexed citations
9.
Henglin, Mir, Brian Claggett, Joseph Antonelli, et al.. (2022). Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data. Metabolites. 12(6). 519–519. 6 indexed citations
10.
Antonelli, Joseph, Ander Wilson, & Brent A. Coull. (2021). Bayesian distributed lag interaction models using spike and slab priors. ISEE Conference Abstracts. 2021(1). 2 indexed citations
11.
Antonelli, Joseph & Matthew Cefalu. (2020). Averaging causal estimators in high dimensions. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Antonelli, Joseph, Brian Claggett, Mir Henglin, et al.. (2019). Statistical Workflow for Feature Selection in Human Metabolomics Data. Metabolites. 9(7). 143–143. 59 indexed citations
13.
Nittrouer, Susan, Joanna H. Lowenstein, & Joseph Antonelli. (2019). Parental Language Input to Children With Hearing Loss: Does It Matter in the End?. Journal of Speech Language and Hearing Research. 63(1). 234–258. 28 indexed citations
14.
Antonelli, Joseph & Michael J. Daniels. (2019). Discussion of PENCOMP. Journal of the American Statistical Association. 114(525). 24–27. 2 indexed citations
15.
Antonelli, Joseph & Francesca Dominici. (2018). A Bayesian semiparametric framework for causal inference in high-dimensional data. arXiv (Cornell University).
16.
Antonelli, Joseph, Matthew Cefalu, Nathan Palmer, & Denis Agniel. (2018). Doubly Robust Matching Estimators for High Dimensional Confounding Adjustment. Biometrics. 74(4). 1171–1179. 25 indexed citations
17.
Makar, Maggie, Joseph Antonelli, Qian Di, et al.. (2017). Estimating the Causal Effect of Low Levels of Fine Particulate Matter on Hospitalization. Epidemiology. 28(5). 627–634. 80 indexed citations
18.
Antonelli, Joseph, Joel Schwartz, Itai Kloog, & Brent A. Coull. (2017). Spatial multiresolution analysis of the effect of $\text{PM}_{2.5}$ on birth weights. The Annals of Applied Statistics. 11(2). 792–807. 6 indexed citations
19.
Antonelli, Joseph, et al.. (2016). Mitigating Bias in Generalized Linear Mixed Models: The Case for Bayesian Nonparametrics. Statistical Science. 31(1). 80–95. 10 indexed citations
20.
Antonelli, Joseph, Matthew Cefalu, & Luke Bornn. (2016). The positive effects of population-based preferential sampling in environmental epidemiology. Biostatistics. 17(4). 764–778. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chanmin Kim Breakdown of academic impact, for papers by Matthieu Marbac Breakdown of academic impact, for papers by Elizabeth A. Gibson Breakdown of academic impact, for papers by Valérie Garès Breakdown of academic impact, for papers by Jiabei Yang Breakdown of academic impact, for papers by Takashi Funatogawa Breakdown of academic impact, for papers by M. Mushfiqur Rashid Breakdown of academic impact, for papers by Brianna Heggeseth Breakdown of academic impact, for papers by Xiaona Yin Breakdown of academic impact, for papers by G E Dinse
Rankless by CCL
2026