Andrew Forney

843 total citations · 1 hit paper
8 papers, 403 citations indexed

About

Andrew Forney is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Andrew Forney has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. Recurrent topics in Andrew Forney's work include Advanced Causal Inference Techniques (3 papers), Statistical Methods and Inference (2 papers) and Advanced Bandit Algorithms Research (2 papers). Andrew Forney is often cited by papers focused on Advanced Causal Inference Techniques (3 papers), Statistical Methods and Inference (2 papers) and Advanced Bandit Algorithms Research (2 papers). Andrew Forney collaborates with scholars based in United States. Andrew Forney's co-authors include Judea Pearl, Carlos Cinelli, Elias Bareinboim and Richard Gilbert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Political Science Quarterly and International Journal of Human-Computer Studies.

In The Last Decade

Andrew Forney

8 papers receiving 393 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.

A Crash Course in Good and Bad Controls

2022 254 citations Carlos Cinelli, Andrew Forney et al. Sociological Methods & Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Forney United States	6	80	79	68	58	34	8	403
Richard Sedlmayr United Kingdom	3	70 0.9×	50 0.6×	31 0.5×	27 0.5×	19 0.6×	8	342
A. Jackson Stenner United States	14	55 0.7×	67 0.8×	101 1.5×	64 1.1×	83 2.4×	43	608
Siegfried Gabler Germany	14	138 1.7×	98 1.2×	33 0.5×	137 2.4×	60 1.8×	55	574
Lawrence C. Marsh United States	8	74 0.9×	137 1.7×	19 0.3×	52 0.9×	72 2.1×	26	548
Scott Fricker United States	9	319 4.0×	81 1.0×	28 0.4×	61 1.1×	16 0.5×	15	509
Susanne Rässler Germany	13	121 1.5×	133 1.7×	118 1.7×	194 3.3×	113 3.3×	26	551
Nick Huntington‐Klein United States	11	72 0.9×	81 1.0×	18 0.3×	26 0.4×	8 0.2×	26	392
Hsiu‐Ting Yu Taiwan	11	71 0.9×	54 0.7×	46 0.7×	40 0.7×	110 3.2×	23	400
Geoffrey Woodhouse United Kingdom	9	101 1.3×	65 0.8×	18 0.3×	87 1.5×	78 2.3×	13	529

Countries citing papers authored by Andrew Forney

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Forney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Forney

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

All Works

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8 of 8 papers shown

1.

Forney, Andrew, et al.. (2022). Causal inference in AI education: A primer. SHILAP Revista de lepidopterología. 10(1). 141–173. 4 indexed citations

2.

Cinelli, Carlos, Andrew Forney, & Judea Pearl. (2022). A Crash Course in Good and Bad Controls. Sociological Methods & Research. 53(3). 1071–1104. 254 indexed citations breakdown →

3.

Cinelli, Carlos, Andrew Forney, & Judea Pearl. (2020). A Crash Course in Good and Bad Controls. SSRN Electronic Journal. 75 indexed citations

4.

Forney, Andrew & Elias Bareinboim. (2019). Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2454–2461. 6 indexed citations

5.

Forney, Andrew, Judea Pearl, & Elias Bareinboim. (2017). Counterfactual Data-Fusion for Online Reinforcement Learners.. International Conference on Machine Learning. 1156–1164. 17 indexed citations

6.

Forney, Andrew. (2016). Inside Reagan’s Navy: The Pentagon Journals. Political Science Quarterly. 131(3). 663–665. 1 indexed citations

7.

Bareinboim, Elias, Andrew Forney, & Judea Pearl. (2015). Bandits with unobserved confounders: a causal approach. neural information processing systems. 28. 1342–1350. 33 indexed citations

8.

Gilbert, Richard & Andrew Forney. (2014). Can avatars pass the Turing test? Intelligent agent perception in a 3D virtual environment. International Journal of Human-Computer Studies. 73. 30–36. 13 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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