Joseph Antonelli

507 citations
23 papers · 270 · h-index 8

Impact in

Papers in

Joseph Antonelli

22 papers receiving 266 citations

Peers

Joseph Antonelli
Comparison fields: 5 of 97
  • Statistics and Probability 56
  • Health, Toxicology and Mutagenesis 93
  • Developmental and Educational Psychology 27
  • Environmental Engineering 20
  • Pollution 15
Replace Chanmin Kim with:
Chanmin Kim South Korea
Valérie Garès France
Jiabei Yang United States
Elizabeth A. Gibson United States
Matthieu Marbac France
M. Mushfiqur Rashid United States
Takashi Funatogawa Japan
David Díez United States
Guillaume Chauvet France
Xiaona Yin China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Joseph Antonelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joseph Antonelli Line = papers co-authored together Joseph Antonelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 201959
3 201928
4 201825
5 202210
6 201610
7 20229
8 20179
9 20176
10 20226
11 20205
12 20164
13 20223
14 20243
15 20232
16 20212
17 20192
18 20232
19 20242
20 20221

About Joseph Antonelli

Joseph Antonelli is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis, Sociology and Political Science, Artificial Intelligence and Environmental Engineering, having authored 23 papers that have together received 270 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers), Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (3 papers), Climate Change and Health Impacts (3 papers), Crime Patterns and Interventions (2 papers) and Policing Practices and Perceptions (2 papers). The work is most often cited by research in Statistics and Probability (56 citations), Health, Toxicology and Mutagenesis (93 citations), Developmental and Educational Psychology (27 citations), Environmental Engineering (20 citations) and Pollution (15 citations). Joseph Antonelli has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Maggie Makar, Joel Schwartz, Francesca Dominici, David Cutler, Qian Di, Matthew Cefalu, Joanna H. Lowenstein, Susan Nittrouer, Brent A. Coull and Denis Agniel. Their work appears in journals such as Biostatistics, Biometrics, Journal of the Royal Statistical Society Series A (Statistics in Society), The Annals of Applied Statistics and Police Quarterly.

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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