Alexander D’Amour

2.7k total citations · 2 hit papers
21 papers, 1.0k citations indexed

About

Alexander D’Amour is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Alexander D’Amour has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 4 papers in Economics and Econometrics. Recurrent topics in Alexander D’Amour's work include Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Alexander D’Amour is often cited by papers focused on Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Alexander D’Amour collaborates with scholars based in United States, France and United Kingdom. Alexander D’Amour's co-authors include Shira Mitchell, Kristian Lum, Eric Potash, Solon Barocas, Lee Fleming, Amy Yu, Ronald Lai, Ye Sun, Vetle I. Torvik and David M. Doolin and has published in prestigious journals such as Journal of the American Statistical Association, Research Policy and Journal of Econometrics.

In The Last Decade

Alexander D’Amour

19 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010)

2014 385 citations Guancheng Li, Ronald Lai et al. Research Policy profile →
Algorithmic Fairness: Choices, Assumptions, and Definitions

2020 286 citations Shira Mitchell, Eric Potash et al. Annual Review of Statistics and Its Application profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander D’Amour United States	11	303	224	217	141	133	21	1.0k
Ganna Pogrebna United Kingdom	15	214 0.7×	191 0.9×	65 0.3×	77 0.5×	30 0.2×	65	824
Yining Chen China	16	74 0.2×	16 0.1×	63 0.3×	58 0.4×	73 0.5×	58	1.1k
Soumyo D. Moitra United States	11	143 0.5×	24 0.1×	90 0.4×	95 0.7×	126 0.9×	26	1.1k
Jonathan Cave United Kingdom	16	152 0.5×	44 0.2×	71 0.3×	65 0.5×	85 0.6×	86	1.0k
José Luís Ortega Spain	23	85 0.3×	52 0.2×	94 0.4×	110 0.8×	55 0.4×	89	1.9k
David Abrams United States	13	404 1.3×	28 0.1×	54 0.2×	32 0.2×	49 0.4×	36	1.1k
Brian W. Rogers United States	13	427 1.4×	390 1.7×	36 0.2×	142 1.0×	20 0.2×	32	1.4k
Maximilian Kasy United States	12	217 0.7×	82 0.4×	57 0.3×	21 0.1×	5 0.0×	32	590
Daniel Rock United States	9	349 1.2×	49 0.2×	44 0.2×	108 0.8×	45 0.3×	13	724
Nicolás Robinson‐García Spain	22	100 0.3×	25 0.1×	58 0.3×	71 0.5×	40 0.3×	86	1.4k

Countries citing papers authored by Alexander D’Amour

Since Specialization

Citations

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

Fields of papers citing papers by Alexander D’Amour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander D’Amour

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lum, Kristian, et al.. (2025). Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation. 137–161. 1 indexed citations

Weng, Wei‐Hung, Atilla P. Kiraly, Alexander D’Amour, et al.. (2024). An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health. 6(2). e126–e130. 6 indexed citations

Suresh, Harini, et al.. (2023). Kaleidoscope: Semantically-grounded, context-specific ML model evaluation. 1–13. 2 indexed citations

D’Amour, Alexander, et al.. (2023). Sensitivity to Unobserved Confounding in Studies with Factor-Structured Outcomes. Journal of the American Statistical Association. 119(547). 2026–2037.

D’Amour, Alexander, Fabrice P. Cordelières, Muriel Faure, et al.. (2023). Anti-SARS-CoV-2 (COVID-19) vaccination efficacy in patients with severe neuromuscular diseases. Revue Neurologique. 179(9). 983–992. 3 indexed citations

Miller, Andrew C., Lauren A. Hannah, Joseph Futoma, et al.. (2022). Statistical Deconvolution for Inference of Infection Time Series. Epidemiology. 33(4). 470–479. 15 indexed citations

Veitch, Victor, Alexander D’Amour, Steve Yadlowsky, & Jacob Eisenstein. (2021). Counterfactual Invariance to Spurious Correlations in Text Classification. Neural Information Processing Systems. 34. 13 indexed citations

Mitchell, Shira, Eric Potash, Solon Barocas, Alexander D’Amour, & Kristian Lum. (2020). Algorithmic Fairness: Choices, Assumptions, and Definitions. Annual Review of Statistics and Its Application. 8(1). 141–163. 286 indexed citations breakdown →

D’Amour, Alexander, Hansa Srinivasan, James Atwood, et al.. (2020). Fairness is not static. 525–534. 85 indexed citations

10.

D’Amour, Alexander, Peng Ding, Avi Feller, Lihua Lei, & Jasjeet S. Sekhon. (2020). Overlap in observational studies with high-dimensional covariates. Journal of Econometrics. 221(2). 644–654. 55 indexed citations

11.

Franks, Alexander, Alexander D’Amour, & Avi Feller. (2019). Flexible Sensitivity Analysis for Observational Studies Without Observable Implications. Journal of the American Statistical Association. 115(532). 1730–1746. 45 indexed citations

12.

D’Amour, Alexander. (2019). On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative. International Conference on Artificial Intelligence and Statistics. 3478–3486. 14 indexed citations

13.

Lin, Alexander, et al.. (2019). Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. Knowledge Discovery and Data Mining. 50–58. 4 indexed citations

14.

D’Amour, Alexander. (2019). Comment: Reflections on the Deconfounder. Journal of the American Statistical Association. 114(528). 1597–1601. 3 indexed citations

15.

Chai, Sen, Alexander D’Amour, & Lee Fleming. (2019). Explaining and predicting the impact of authors within a community: an assessment of the bibliometric literature and application of machine learning. Industrial and Corporate Change. 29(1). 61–80. 2 indexed citations

16.

Miller, Andrew C., Nicholas J. Foti, Alexander D’Amour, & Ryan P. Adams. (2017). Reducing Reparameterization Gradient Variance. arXiv (Cornell University). 30. 3709–3719. 11 indexed citations

17.

Franks, Alexander, Alexander D’Amour, Daniel Cervone, & Luke Bornn. (2016). Meta-analytics: tools for understanding the statistical properties of sports metrics. Journal of Quantitative Analysis in Sports. 12(4). 28 indexed citations

18.

Li, Guancheng, Ronald Lai, Alexander D’Amour, et al.. (2014). Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010). Research Policy. 43(6). 941–955. 385 indexed citations breakdown →

19.

Lipsitch, Marc, Osman Abdullahi, Alexander D’Amour, et al.. (2012). Estimating Rates of Carriage Acquisition and Clearance and Competitive Ability for Pneumococcal Serotypes in Kenya With a Markov Transition Model. Epidemiology. 23(4). 510–519. 72 indexed citations

20.

D’Amour, Alexander, et al.. (2008). Improving Major League Baseball Park Factor Estimates. Journal of Quantitative Analysis in Sports. 4(2). 5 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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