Citation Analysis

Inference for an Algorithmic Fairness-Accuracy Frontier
Yiqi Liu, Francesca Molinari
https://arxiv.org/abs/2402.08879
125
Citation mentions
51
Cited references
12
Sections
12,580
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 Obermeyer, Ziad and Powers, Brian and Vogeli, Chri... 2019 6 4 9.0 0.048 1.000 100%
2 Arie Beresteanu and Francesca Molinari (self) 2008 5 4 8.0 0.040 1.000 100%
3 Vira Semenova 2023 7 5 12.0 0.056 1.000 100%
4 Fang, Zheng and Santos, Andres 2019 16 6 31.0 0.128 1.000 100%
5 Hiroaki Kaido 2016 11 4 21.0 0.088 1.000 100%
6 Ilya Molchanov and Francesca Molinari (self) 2018 8 4 16.0 0.064 1.000 100%
7 Schneider, Rolf 1993 5 4 10.0 0.040 1.000 100%
8 Javier Ca 2020 7 3 14.0 0.056 1.000 100%
9 Chandrasekhar, Arun and Chernozhukov, Victor and M... (self) 2018 4 3 6.0 0.032 0.928 100%
10 Alexander Shapiro 1990 4 3 8.0 0.032 0.928 100%
11 Rockafellar, R. T. 1997 3 3 6.0 0.024 0.843 100%
12 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 3 2 6.0 0.024 0.737 100%
13 Bontemps, Christian and Magnac, Thierry and Maurin... 2012 2 2 3.0 0.016 0.644 100%
14 Yiqi Liu and Francesca Molinari (self) 2024 2 2 4.0 0.016 0.644 100%
15 Donald W. K. Andrews and Xiaoxia Shi 2013 2 2 4.0 0.016 0.644 100%
16 Chernozhukov, Victor and Hong, Han and Tamer, Elie 2007 2 2 4.0 0.016 0.644 100%
17 Li, Zoey and Lin, Katie and Obermeyer, Ziad 2019 2 2 4.0 0.016 0.644 100%
18 van der Vaart, Aad W. and Wellner, Jon A. 1996 2 2 4.0 0.016 0.644 100%
19 Annie Liang and Jay Lu and Xiaosheng Mu and Kyohei... 2024 2 2 2.0 0.016 0.511 50%
20 Angwin, Julia and Larson, Jeff and Mattu, Surya an... 2016 1 1 1.0 0.008 0.406 100%
21 Arnold, David and Dobbie, Will and Hull, Peter 2021 1 1 1.0 0.008 0.406 100%
22 Richard Berk and Hoda Heidari and Shahin Jabbari a... 2021 1 1 1.0 0.008 0.406 100%
23 Cowgill, Bo and Tucker, Catherine E. 2020 1 1 1.0 0.008 0.406 100%
24 Kleinberg, Jon and Ludwig, Jens and Mullainathan, ... 2018 1 1 1.0 0.008 0.406 100%
25 Blattner, Laura and Spiess, Jann 2022 1 1 1.0 0.008 0.406 100%
26 Kaido, Hiroaki and Santos, Andres 2014 1 1 1.0 0.008 0.406 100%
27 Molinari, Francesca (self) 2020 1 1 1.0 0.008 0.406 100%
28 Alexandra Chouldechova and Aaron Roth 2018 1 1 1.0 0.008 0.406 100%
29 Barocas, Solon and Hardt, Moritz and Narayanan, Ar... 1 1 1.0 0.008 0.406 100%
30 Corbett-Davies, Sam and Gaebler, Johann D. and Nil... 2024 1 1 1.0 0.008 0.406 100%
31 Rambachan, Ashesh and Kleinberg, Jon and Ludwig, J... 2020 1 1 1.0 0.008 0.406 100%
32 Rambachan, Ashesh and Roth, Jonathan 2020 1 1 1.0 0.008 0.406 100%
33 Dwork, Cynthia and Hardt, Moritz and Pitassi, Toni... 2012 1 1 1.0 0.008 0.406 100%
34 Berk, Richard and Heidari, Hoda and Jabbari, Shahi... 2017 1 1 1.0 0.008 0.406 100%
35 Kleinberg, Jon and Ludwig, Jens and Mullainathan, ... 2018 1 1 1.0 0.008 0.406 100%
36 Rambachan, Ashesh and Kleinberg, Jon and Mullainat... 2020 1 1 1.0 0.008 0.406 100%
37 Viviano, Davide and Bradic, Jelena 2023 1 1 1.0 0.008 0.406 100%
38 Kallus, Nathan and Mao, Xiaojie and Zhou, Angela 2022 1 1 1.0 0.008 0.406 100%
39 Eric Auerbach and Annie Liang and Max Tabord-Meeha... 2024 1 1 1.0 0.008 0.406 100%
40 Neyman, Jerzy 1979 1 1 2.0 0.008 0.406 100%
41 Neyman, Jerzy 1959 1 1 2.0 0.008 0.406 100%
42 Bickel, Peter J 1982 1 1 2.0 0.008 0.406 100%
43 Robins, James and Li, Lingling and Tchetgen Tchetg... 2008 1 1 2.0 0.008 0.406 100%
44 Robins, James M and Li, Lingling and Mukherjee, Ra... 2017 1 1 2.0 0.008 0.406 100%
45 Robinson, Peter M 1988 1 1 2.0 0.008 0.406 100%
46 Belloni, Alexandre and Chernozhukov, Victor and Fe... 2017 1 1 2.0 0.008 0.406 100%
47 Chen, Qizhao and Austern, Morgane and Syrgkanis, V... 2023 1 1 2.0 0.008 0.406 100%
48 Park, Gyungbae 2024 1 1 2.0 0.008 0.406 100%
49 Charles F. Manski and John Mullahy and Atheendar S... 2023 1 1 2.0 0.008 0.406 100%
50 Donald W. K. Andrews 1994 1 1 2.0 0.008 0.406 100%
51 Molchanov, I. 2017 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.