Citation Analysis

Debiased Machine Learning when Nuisance Parameters Appear in Indicator Functions
Gyungbae Park
https://arxiv.org/abs/2403.15934
121
Citation mentions
41
Cited references
9
Sections
8,234
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 Kitagawa, T. and Tetenov, A 2018 10 4 17.0 0.083 1.000 100%
2 Chernozhukov, V., Chetverikov, D., Demirer, M., Du... 2018 6 4 7.0 0.050 0.874 67%
3 Armstrong, T. B. and Kolesár, M 2020 5 2 9.0 0.041 0.874 100%
4 Chernozhukov, V., Chetverikov, D., Demirer, M., Du... 2017 4 3 4.5 0.033 0.843 75%
5 Semenova, V. and Chernozhukov, V 2020 3 3 5.0 0.025 0.843 100%
6 Levis, A. W., Bonvini, M., Zeng, Z., Keele, L., an... 2023 3 3 5.0 0.025 0.843 100%
7 Chernozhukov, V., Newey, W. K., and Singh, R 2022b 33 8 38.0 0.273 0.802 52%
8 Chernozhukov, V., Escanciano, J. C., Ichimura, H.,... 2022a 12 4 9.0 0.099 0.693 33%
9 Hirano, K. and Porter, J. R 2012 2 2 3.0 0.017 0.644 100%
10 Chernozhukov, V., Hansen, C., Kallus, N., Spindler... 2024a 2 2 3.0 0.017 0.644 100%
11 Athey, S. and Wager, S 2019 2 2 4.0 0.017 0.644 100%
12 Imai, K., Keele, L., and Tingley, D 2010 2 2 1.5 0.017 0.511 50%
13 Chernozhukov, V., Newey, W. K., and Singh, R 2022c 4 2 2.5 0.033 0.511 25%
14 Horowitz, J. L 1992 2 1 2.0 0.017 0.511 100%
15 Chen, Q., Austern, M., and Syrgkanis, V 2023 2 1 2.0 0.017 0.511 100%
16 Hirshberg, D. A. and Wager, S 2021 2 2 2.5 0.017 0.511 50%
17 Newey, W. K 1994 3 2 3.0 0.025 0.511 33%
18 Bloom, H. S., Orr, L. L., Bell, S. H., Cave, G., D... 1997 1 1 1.0 0.008 0.406 100%
19 1 1 1.0 0.008 0.406 100%
20 Christensen, T., Moon, H. R., and Schorfheide, F 2023 1 1 1.0 0.008 0.406 100%
21 Zhou, X., Mayer-Hamblett, N., Khan, U., and Kosoro... 2017 1 1 1.0 0.008 0.406 100%
22 Chen, X., Linton, O., and Keilegom, I. V 2003 1 1 1.0 0.008 0.406 100%
23 Chen, X. and Pouzo, D 2012 1 1 1.0 0.008 0.406 100%
24 Balke, A. and Pearl, J 1997 1 1 1.0 0.008 0.406 100%
25 Andrews, D. W. K 2000 1 1 1.0 0.008 0.406 100%
26 Fang, Z. and Santos, A 2018 1 1 1.0 0.008 0.406 100%
27 Hong, H. and Li, J 2018 1 1 1.0 0.008 0.406 100%
28 Kitagawa, T., Montiel Olea, J. L., Payne, J., and ... 2020 1 1 1.0 0.008 0.406 100%
29 Luedtke, A. R. and van der Laan, M. J 2016 1 1 1.0 0.008 0.406 100%
30 Semenova, V 2023 1 1 1.0 0.008 0.406 100%
31 Semenova, V 2024 1 1 1.0 0.008 0.406 100%
32 Andrews, I., Kitagawa, T., and McCloskey, A 2023 1 1 1.0 0.008 0.406 100%
33 Manski, C. F 2004 1 1 1.0 0.008 0.406 100%
34 Athey, S. and Wager, S 2021 1 1 1.0 0.008 0.406 100%
35 Künzel, S. R., Sekhon, J. S., Bickel, P. J., and Y... 2019 1 1 2.0 0.008 0.406 100%
36 Klosin, S 2021 1 1 2.0 0.008 0.406 100%
37 Chernozhukov, V., Newey, W. K., Singh, R., and Syr... 2024b 1 1 2.0 0.008 0.406 100%
38 Bickel, P. J., Ritov, Y., and Tsybakov, A. B 2009 1 1 2.0 0.008 0.406 100%
39 Rudelson, M. and Zhou, S 2013 1 1 2.0 0.008 0.406 100%
40 Belloni, A. and Chernozhukov, V 2013 1 1 2.0 0.008 0.406 100%
41 Sanchez-Becerra, A 2023 1 1 2.0 0.008 0.406 100%
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.