Citation Analysis

Inference for Batched Adaptive Experiments\tnotereft1
Jan Kemper, Davud Rostam-Afschar
https://arxiv.org/abs/2512.10156
16
Citation mentions
10
Cited references
7
Sections
1,851
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 Zhang, Kelly and Janson, Lucas and Murphy, Susan 2020 5 5 9.0 0.312 1.000 100%
2 Hadad, Vitor and Hirshberg, David A. and Zhan, Ruo... 2021 2 2 3.0 0.125 0.644 100%
3 Hirano, Keisuke and Porter, Jack R. 2025 2 2 3.0 0.125 0.644 100%
4 Kasy, Maximilian and Sautmann, Anja 2021 1 1 1.0 0.062 0.406 100%
5 Caria, A. Stefano and Gordon, Grant and Kasy, Maxi... 2023 1 1 1.0 0.062 0.406 100%
6 Offer-Westort, Molly and Coppock, Alexander and Gr... 2021 1 1 1.0 0.062 0.406 100%
7 Avivi, Hadar and Kline, Patrick and Rose, Evan and... 2021 1 1 1.0 0.062 0.406 100%
8 Tabord-Meehan, Max 2023 1 1 1.0 0.062 0.406 100%
9 Hoffmann, M. and Picard, Bertille and Marie, C. an... 2023 1 1 1.0 0.062 0.406 100%
10 Gaul, Johannes J. and Keusch, Florian and Rostam-A... (self) 2025 1 1 1.0 0.062 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.