Citation Analysis

Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies
Theophilus G. Baidoo, Ashley Obeng
https://arxiv.org/abs/2410.05630

Citation mentions

Cited references

Sections

2,864

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	Appiah, ST and Adetunde, IA	2011	1	1	0.5	0.083	0.406	100%
2	Iddrisu, Abdul-Karim and Otoo, Dominic and Abdul, ...	2019	1	1	0.5	0.083	0.406	100%
3	Okyere, Francis and Mahama, F and Yemidi, Solomon ...	2015	1	1	0.5	0.083	0.406	100%
4	Omane-Adjepong, Maurice and Oduro, Francis T and O...	2013	1	1	0.5	0.083	0.406	100%
5	Nortey, Ezekiel NN and Mbeah-Baiden, Benedict and ...	2014	1	1	0.5	0.083	0.406	100%
6	Klutse, Senanu Kwasi	2020	1	1	0.5	0.083	0.406	100%
7	Dickey, David A and Fuller, Wayne A	1979	1	1	2.0	0.083	0.406	100%
8	Kwiatkowski, Denis and Phillips, Peter CB and Schm...	1992	1	1	2.0	0.083	0.406	100%
9	Peter J.. Brockwell and Davis, Richard A	2016	1	1	2.0	0.083	0.406	100%
10	Box, George EP and Jenkins, Gwilym M and Reinsel, ...	2015	1	1	2.0	0.083	0.406	100%
11	Medsker, Larry and Jain, Lakhmi C	1999	1	1	2.0	0.083	0.406	100%
12	Hochreiter, S	1997	1	1	2.0	0.083	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.