Citation Analysis

Detecting Spatial Outliers: the Role of the Local Influence Function
Giuseppe Arbia, Vincenzo Nardelli
https://arxiv.org/abs/2410.18261
14
Citation mentions
9
Cited references
5
Sections
4,156
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 Nardelli, Vincenzo and Arbia, Giuseppe (self) 2024 5 2 7.0 0.357 0.874 100%
2 Hampel, Frank R 1974 2 2 3.0 0.143 0.644 100%
3 Moran, Patrick AP 1950 1 1 1.0 0.071 0.406 100%
4 Anselin, Luc 1995 1 1 1.0 0.071 0.406 100%
5 Rousseeuw, Peter J and Leroy, Annick M 1897 1 1 1.0 0.071 0.406 100%
6 Huber, Peter J. 1981 1 1 1.0 0.071 0.406 100%
7 Hampel, Frank R. and Ronchetti, Elvezio M. and Rou... 1986 1 1 1.0 0.071 0.406 100%
8 Maronna, Ricardo A. and Martin, R. Douglas and Yoh... 2006 1 1 1.0 0.071 0.406 100%
9 Pesaran, M Hashem and Yang, Cynthia Fan 2020 1 1 2.0 0.071 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.