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Citation Analysis

Double machine learning and design in batch adaptive experiments
Harrison H. Li, Art B. Owen
https://arxiv.org/abs/2309.15297
74
Citation mentions
46
Cited references
12
Sections
21,744
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Hahn, J., Hirano, K., and Karlan, D 2011 10 6 14.5 0.135 1.000 100%
2 Tabord-Meehan, M 2022 5 4 8.5 0.068 1.000 100%
3 Chernozhukov, V., Chetverikov, D., Demirer, M., Du... 2018 9 4 15.5 0.122 0.962 89%
4 van der Vaart, A. W. and Wellner, J. A 1996 5 3 7.0 0.068 0.843 60%
5 Blackwell, M., Pashley, N. E., and Valentino, D 2022 2 2 3.0 0.027 0.644 100%
6 Zhao, J 2023 2 2 3.0 0.027 0.644 100%
7 Cytrynbaum, M 2021 2 2 2.5 0.027 0.644 100%
8 Neyman, J 1934 1 1 1.0 0.014 0.406 100%
9 Dai, J., Gradu, P., and Harshaw, C 2023 1 1 1.0 0.014 0.406 100%
10 Rosenbaum, P. R. and Rubin, D. B 1983 1 1 1.0 0.014 0.406 100%
11 Russo, D. J., Van Roy, B., Kazerouni, A., Osband, ... 2018 1 1 0.5 0.014 0.406 100%
12 Hao, B., Lattimore, T., and Szepesvari, C 2020 1 1 0.5 0.014 0.406 100%
13 Xu, L., Honda, J., and Sugiyama, M 2018 1 1 0.5 0.014 0.406 100%
14 Kasy, M. and Sautmann, A 2021 1 1 0.5 0.014 0.406 100%
15 Hadad, V., Hirshberg, D. A., Zhan, R., Wager, S., ... 2021 1 1 0.5 0.014 0.406 100%
16 Zhang, K., Janson, L., and Murphy, S 2020 1 1 0.5 0.014 0.406 100%
17 Zhang, K., Janson, L., and Murphy, S 2021 1 1 0.5 0.014 0.406 100%
18 Owen, A. B. and Varian, H (self) 2020 1 1 0.5 0.014 0.406 100%
19 Morrison, T. P. and Owen, A. B (self) 2022 1 1 0.5 0.014 0.406 100%
20 Li, H. H. and Owen, A. B (self) 2023 1 1 0.5 0.014 0.406 100%
21 Kluger, D. M. and Owen, A. B (self) 2023 1 1 0.5 0.014 0.406 100%
22 Hirano, K., Imbens, G. W., and Ridder, G 2003 1 1 0.5 0.014 0.406 100%
23 Kato, M., Ishihara, T., Honda, J., and Narita, Y 2020 1 1 0.5 0.014 0.406 100%
24 Zhang, L.-X., Hu, F., Cheung, S. H., and Chan, W. ... 2007 1 1 0.5 0.014 0.406 100%
25 Zhu, H. and Zhu, H 2023 1 1 0.5 0.014 0.406 100%
26 Che, E. and Namkoong, H 2023 1 1 2.0 0.014 0.406 100%
27 Robinson, P. M 1988 1 1 2.0 0.014 0.406 100%
28 Chamberlain, G 1992 1 1 2.0 0.014 0.406 100%
29 Ma, Y., Chiou, J.-M., and Wang, N 2006 1 1 2.0 0.014 0.406 100%
30 Slud, E., Vonta, I., and Kagan, A 2018 1 1 2.0 0.014 0.406 100%
31 Atkinson, A., Donev, A., and Tobias, R 2007 1 1 2.0 0.014 0.406 100%
32 Pukelsheim, F 2006 1 1 2.0 0.014 0.406 100%
33 Vapnik, V 1991 1 1 2.0 0.014 0.406 100%
34 Montanari, A. and Saeed, B. N 2022 1 1 2.0 0.014 0.406 100%
35 Kosorok, M. R 2008 1 1 2.0 0.014 0.406 100%
36 Wainwright, M. J 2019 1 1 2.0 0.014 0.406 100%
37 Fu, A., Narasimhan, B., and Boyd, S 2017 1 1 2.0 0.014 0.406 100%
38 MOSEK ApS 2022 1 1 2.0 0.014 0.406 100%
39 Wood, S. N 2003 1 1 2.0 0.014 0.406 100%
40 Wood, S. N 2004 1 1 2.0 0.014 0.406 100%
41 Rosenman, E. T. and Owen, A. B (self) 2021 1 1 2.0 0.014 0.406 100%
42 Gagnon-Bartsch, J., Sales, A., Wu, E., Botelho, A.... 2023 1 1 2.0 0.014 0.406 100%
43 Dudley, R. M 1967 1 1 0.5 0.014 0.087 0%
44 Kitagawa, T. and Tetenov, A 2018 1 1 0.5 0.014 0.087 0%
45 Boyd, S. and Vandenberghe, L 2004 1 1 0.5 0.014 0.087 0%
46 Barbu, V. and Precupanu, T 2012 1 1 0.5 0.014 0.087 0%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.

Citation intensity data generated from LaTeX source analysis.