Jonathan Auerbach

833 total citations
33 papers, 287 citations indexed

About

Jonathan Auerbach is a scholar working on Economics and Econometrics, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Jonathan Auerbach has authored 33 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 6 papers in Statistics and Probability and 5 papers in Sociology and Political Science. Recurrent topics in Jonathan Auerbach's work include Genetic Associations and Epidemiology (5 papers), Cinema and Media Studies (4 papers) and Advanced Causal Inference Techniques (3 papers). Jonathan Auerbach is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Cinema and Media Studies (4 papers) and Advanced Causal Inference Techniques (3 papers). Jonathan Auerbach collaborates with scholars based in United States, Canada and Spain. Jonathan Auerbach's co-authors include Russ Castronovo, Andrew Gelman, C. J. Chamberlain, Ailene K. Ettinger, E. M. Wolkovich, Ignacio Morales‐Castilla, D. M. Buonaiuto, Owen Rambow, H.E. Evans and Hsin‐Chou Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Change Biology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Jonathan Auerbach

29 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Auerbach United States 11 60 48 44 31 24 33 287
S. Ravi Rajan United States 8 160 2.7× 26 0.5× 19 0.4× 25 0.8× 15 0.6× 13 406
Erik M. Conway United States 9 247 4.1× 30 0.6× 39 0.9× 30 1.0× 32 1.3× 24 505
Wolfgang Behringer Germany 8 65 1.1× 29 0.6× 35 0.8× 38 1.2× 19 0.8× 36 249
John Mack Faragher United States 11 149 2.5× 42 0.9× 31 0.7× 62 2.0× 12 0.5× 54 404
Edward Watts United States 12 53 0.9× 43 0.9× 25 0.6× 37 1.2× 53 2.2× 46 355
John Pilger United States 10 112 1.9× 10 0.2× 13 0.3× 66 2.1× 11 0.5× 22 268
Paul Josephson United States 12 195 3.3× 20 0.4× 17 0.4× 199 6.4× 14 0.6× 64 480
Douglas M. Peers Canada 10 187 3.1× 37 0.8× 36 0.8× 91 2.9× 15 0.6× 25 463
Brendan Smith Australia 6 118 2.0× 17 0.4× 6 0.1× 61 2.0× 8 0.3× 26 329
Matthew Dillon United States 11 72 1.2× 17 0.4× 20 0.5× 13 0.4× 28 1.2× 58 337

Countries citing papers authored by Jonathan Auerbach

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Auerbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Auerbach

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Auerbach. A scholar is included among the top collaborators of Jonathan Auerbach 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 Jonathan Auerbach. Jonathan Auerbach 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.
Auerbach, Jonathan, et al.. (2024). The Nation’s Data at Risk: The First Annual Report on the Federal Statistical System. Harvard Data Science Review. 7(1).
2.
Auerbach, Jonathan, et al.. (2024). Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’. Biometrika. 111(1). 21–24. 1 indexed citations
3.
4.
Auerbach, Jonathan. (2023). Safeguarding Facts in an Era of Disinformation: The Case for Independently Monitoring the U.S. Statistical System. SHILAP Revista de lepidopterología. 5(3). 1 indexed citations
5.
Wolkovich, E. M., Jonathan Auerbach, C. J. Chamberlain, et al.. (2021). A simple explanation for declining temperature sensitivity with warming. Global Change Biology. 27(20). 4947–4949. 38 indexed citations
6.
Auerbach, Jonathan, et al.. (2021). Does Voting by Mail Increase Fraud? Estimating the Change in Reported Voter Fraud When States Switch to Elections By Mail. SHILAP Revista de lepidopterología. 8(1). 18–41. 4 indexed citations
7.
Auerbach, Jonathan, et al.. (2020). Forecasting the urban skyline with extreme value theory. International Journal of Forecasting. 36(3). 814–828. 5 indexed citations
8.
Auerbach, Jonathan, et al.. (2018). Coping with family structure in genome-wide association studies: a comparative evaluation. BMC Proceedings. 12(S9). 42–42. 1 indexed citations
9.
Patton, Desmond U., et al.. (2018). Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago. npj Digital Medicine. 1(1). 11–11. 12 indexed citations
10.
Auerbach, Jonathan, Richard Howey, Lai Jiang, et al.. (2018). Causal modeling in a multi-omic setting: insights from GAW20. BMC Genetics. 19(S1). 74–74. 7 indexed citations
11.
Auerbach, Jonathan. (2017). Are New York City Drivers more Likely to get a Ticket at the End of the Month?. Significance. 14(4). 20–25. 2 indexed citations
12.
Lo, Adeline, Jonathan Auerbach, Rachel Y. Y. Fan, et al.. (2016). Network-guided interaction mining for the blood pressure phenotype of unrelated individuals in genetic analysis workshop 19. BMC Proceedings. 10(S7). 333–336.
13.
Auerbach, Jonathan, et al.. (2016). Identifying regions of disease-related variants in admixed populations with the summation partition approach. BMC Proceedings. 10(S7). 131–134. 1 indexed citations
14.
König, Inke R., Jonathan Auerbach, Damian Gola, et al.. (2016). Machine learning and data mining in complex genomic data—a review on the lessons learned in Genetic Analysis Workshop 19. BMC Genetics. 17(S2). 1–1. 14 indexed citations
15.
Auerbach, Jonathan. (2014). Does New York City Really have as Many Rats as People?. Significance. 11(4). 22–27. 8 indexed citations
16.
Auerbach, Jonathan & Russ Castronovo. (2013). The Oxford Handbook of Propaganda Studies. Oxford University Press eBooks. 33 indexed citations
17.
Auerbach, Jonathan, et al.. (2009). The Economic Crisis and the Fiscal Crisis: 2009 and Beyond. SSRN Electronic Journal. 42 indexed citations
18.
Auerbach, Jonathan. (2000). Chasing Film Narrative: Repetition, Recursion, and the Body in Early Cinema. Critical Inquiry. 26(4). 798–820. 8 indexed citations
19.
Auerbach, Jonathan. (1994). “The Nation Organized”: Utopian Impotence in Edward Bellamy's Looking Backward. American Literary History. 6(1). 24–47. 7 indexed citations
20.
Auerbach, Jonathan. (1980). Executing the Model: Painting, Sculpture, and Romance-Writing in Hawthorne's The Marble Faun. ELH. 47(1). 103–103. 11 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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