Citation profile for Paul Smith

Paul Smith : Citation Profile

University of Strathclyde

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Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   5 years (2014 - 2019). See details.
   Cites by year: 7
   Journals where Paul Smith has often published
   Relations with other researchers
   Recent citing documents: 9.    Total self citations: 0 (0 %)

MORE DETAILS IN:

EconPapers

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/psm201
   Updated: 2024-11-08    RAS profile: 2023-02-24
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Paul Smith.

Is cited by:

Bhattacharjee, Arnab (4)

Urtasun, Alberto (3)

Pérez, Javier (3)

Geraci, Andrea (2)

Kohns, David (2)

Knotek, Edward (2)

Havranek, Tomas (2)

Mazzarella, Gianluca (2)

Colagrossi, Marco (2)

Maas, Benedikt (2)

Blanchflower, David (1)

Cites to:

Giannone, Domenico (11)

Reichlin, Lucrezia (11)

Marcellino, Massimiliano (9)

Banbura, Marta (7)

Camacho, Maximo (6)

Rünstler, Gerhard (6)

Perez Quiros, Gabriel (6)

Foroni, Claudia (6)

Poncela, Pilar (6)

Modugno, Michele (6)

Valkanov, Rossen (5)

Main data

Where Paul Smith has published?

Working Papers Series with more than one paper published	# docs
Working Papers / University of Strathclyde Business School, Department of Economics	2

Recent works citing Paul Smith (2024 and 2023)

Year	Title of citing document
2024	A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting. (2024). Sun, Jingyun ; Zhao, Zhengling ; Wang, Shouyang. In: Energy. RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031341. Full description at Econpapers \|\| Download paper
2023	Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model. (2023). Bhattacharjee, Arnab ; Kohns, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1384-1412. Full description at Econpapers \|\| Download paper
2023	Real-time density nowcasts of US inflation: A model combination approach. (2023). Zaman, Saeed ; Knotek, Edward S. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1736-1760. Full description at Econpapers \|\| Download paper
2024	Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications. (2024). Scornavacca, Eusebio ; Bastos, Julio Cesar ; Takahashi, Carlos Kazunari. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006765. Full description at Econpapers \|\| Download paper
2023	Nowcasting Unemployment Using Neural Networks and Multi-Dimensional Google Trends Data. (2023). Stundien, Alina ; Lukauskas, Mantas ; Pilinkien, Vaida ; Grybauskas, Andrius ; Bruneckien, Jurgita. In: Economies. RePEc:gam:jecomi:v:11:y:2023:i:5:p:130-:d:1132215. Full description at Econpapers \|\| Download paper
2023	Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data. (2023). Li, Zongwei ; Han, Huijian. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3100-:d:1062002. Full description at Econpapers \|\| Download paper
2024	Online Monitoring of Policy Optimality. (2024). Einarsson, Bjarni G. In: Economics. RePEc:ice:wpaper:wp95. Full description at Econpapers \|\| Download paper
2023	Short?term forecasting of the US unemployment rate. (2020). Maas, Benedikt. In: Journal of Forecasting. RePEc:wly:jforec:v:39:y:2020:i:3:p:394-411. Full description at Econpapers \|\| Download paper

Works by Paul Smith:

Year	Title	Type	Cited
2014	Nowcasting Scottish GDP Growth In: SIRE Discussion Papers. [Full Text][Citation analysis]	paper	3
2014	Nowcasting Scottish GDP Growth.(2014) In: Working Paper series. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 3	paper
2014	Nowcasting Scottish GDP growth.(2014) In: Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 3	paper
2019	Nowcasting Using Mixed Frequency Methods: An Application to the Scottish Economy In: Sankhya B: The Indian Journal of Statistics. [Full Text][Citation analysis]	article	1
2016	Nowcasting UK GDP during the depression In: Working Papers. [Full Text][Citation analysis]	paper	0
2016	Googles MIDAS Touch: Predicting UK Unemployment with Internet Search Data In: Journal of Forecasting. [Full Text][Citation analysis]	article	32