Souhaib Ben Taieb : Citation Profile

Monash University

5

H index

4

i10 index

138

Citations

RESEARCH PRODUCTION:

3

Articles

7

Papers

RESEARCH ACTIVITY:

   12 years (2011 - 2023). See details.
   Cites by year: 11
   Journals where Souhaib Ben Taieb has often published
   Relations with other researchers
   Recent citing documents: 10.    Total self citations: 2 (1.43 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pbe791
   Updated: 2025-03-22    RAS profile: 2021-01-04    
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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 Souhaib Ben Taieb.

Is cited by:

Hyndman, Rob (8)

Hong, Tao (5)

Martinez, Andrew (3)

Castle, Jennifer (3)

Sermpinis, Georgios (3)

Guidolin, Massimo (3)

Li, Feng (3)

Grossi, Luigi (3)

Franses, Philip Hans (3)

Paccagnini, Alessia (3)

Clements, Michael (3)

Cites to:

Hyndman, Rob (9)

Chevillon, Guillaume (4)

Patton, Andrew (3)

Diks, Cees (3)

Teräsvirta, Timo (3)

Panchenko, Valentyn (3)

van Dijk, Dick (3)

Chernozhukov, Victor (2)

Galichon, Alfred (2)

Engle, Robert (2)

Athanasopoulos, George (2)

Main data

Production by document typepaperarticle20112012201320142015201620172018201920202021202220230123Documents Highcharts.comExport to raster or vector imagePrint the chart
Cumulative documents published2011201220132014201520162017201820192020202120222023051015Documents Highcharts.comExport to raster or vector imagePrint the chart

Citations received20132014201520162017201820192020202120222023202420250102030Citations Highcharts.comExport to raster or vector imagePrint the chart
Citations by production year20112012201320142015201620172018201920202021202220230255075Citations Highcharts.comExport to raster or vector imagePrint the chart

H-Index: 5Most cited documents12345670255075Number of citations Highcharts.comExport to raster or vector imagePrint the chart
H-Index evolution20131120131220140120140220140320140420140520140620140720140820140920141020141120141220150120150220150320150420150520150620150720150820150920151020151120151220160120160220160320160420160520160620160720160820160920161020161120161220170120170220170320170420170520170620170720170820170920171020171120171220180120180220180320180420180520180620180720180820180920181020181120181220190120190220190320190420190520190620190720190820190920191020191120191220200120200220200320200420200520200620200720200820200920201020201120201220210120210220210320210420210520210620210720210820210920211020211120211220220120220220220320220420220520220620220720220820220920221020221120221220230120230220230320230420230520230620230720230820230920231020231120231220240120240220240320240420240520240620240720240820240920241020241120241220250120250220250302.557.5h-index Highcharts.comExport to raster or vector imagePrint the chart

Where Souhaib Ben Taieb has published?

Journals with more than one article published# docs
International Journal of Forecasting3

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics5

Recent works citing Souhaib Ben Taieb (2025 and 2024)

Year  ↓Title of citing document  ↓
2024Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Umar, Muhammad ; Naqvi, Bushra ; Abbas, Syed Kumail. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704.

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2024Forecast reconciliation: A review. (2024). Panagiotelis, Anastasios ; Kourentzes, Nikolaos ; Hyndman, Rob J ; Athanasopoulos, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:430-456.

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2024Probabilistic hierarchical forecasting with deep Poisson mixtures. (2024). Dicker, Lee ; Cao, Mengfei ; Reddy, Rohan ; Ma, Ruijun ; Meetei, Nganba O ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:470-489.

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2024Instance-based meta-learning for conditionally dependent univariate multi-step forecasting. (2024). Cerqueira, Vitor ; Torgo, Luis ; Bontempi, Gianluca. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1507-1520.

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2024Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1568-1586.

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2024Hierarchical forecasting at scale. (2024). Wadman, Wander ; Schelter, Sebastian ; Sprangers, Olivier ; de Rijke, Maarten. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1689-1700.

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2024Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models. (2024). Yu, Chunyan ; Lee, Kiljae ; Hopfe, David H. In: Journal of Air Transport Management. RePEc:eee:jaitra:v:115:y:2024:i:c:s0969699723001680.

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Works by Souhaib Ben Taieb:

Year  ↓Title  ↓Type  ↓Cited  ↓
2023Scores for Multivariate Distributions and Level Sets In: Papers.
[Full Text][Citation analysis]		paper2
2011Conditionally dependent strategies for multiple-step-ahead prediction in local learning In: International Journal of Forecasting.
[Full Text][Citation analysis]		article13
2011Conditionally dependent strategies for multiple-step-ahead prediction in local learning.(2011) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 13		article
2014A gradient boosting approach to the Kaggle load forecasting competition In: International Journal of Forecasting.
[Full Text][Citation analysis]		article54
2012Recursive and direct multi-step forecasting: the best of both worlds In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper9
2014Boosting multi-step autoregressive forecasts In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper5
2015Probabilistic time series forecasting with boosted additive models: an application to smart meter data In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2017Coherent Probabilistic Forecasts for Hierarchical Time Series In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper23
2020Nonlinear Mixed Effects Models for Time Series Forecasting of Smart Meter Demand In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2013Machine learning strategies for time series forecasting In: ULB Institutional Repository.
[Citation analysis]		paper31

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