OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Forecasting is 35. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting	701
Recurrent Neural Networks for Time Series Forecasting: Current status and future directions	549
Forecasting: theory and practice	354
Forecasting for COVID-19 has failed	213
M5 accuracy competition: Results, findings, and conclusions	145
Kaggle forecasting competitions: An overlooked learning opportunity	140
Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants	118
Retail forecasting: Research and practice	114
The impact of the COVID-19 pandemic on business expectations	108
A novel text-based framework for forecasting agricultural futures using massive online news headlines	86
Principles and algorithms for forecasting groups of time series: Locality and globality	86
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx	67
Forecast combinations: An over 50-year review	63
Predicting monthly biofuel production using a hybrid ensemble forecasting methodology	56
Forecast reconciliation: A geometric view with new insights on bias correction	52
The M5 competition: Background, organization, and implementation	51
Forecasting crude oil market volatility using variable selection and common factor	50
Nowcasting GDP using machine-learning algorithms: A real-time assessment	49
Forecasting with trees	48
COVID-19: Forecasting confirmed cases and deaths with a simple time series model	45
Forecasting recovery rates on non-performing loans with machine learning	45
The power of text-based indicators in forecasting Italian economic activity	44
Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods	44
Measuring the Connectedness of the Global Economy	43
Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models	40

Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis	40
Targeting predictors in random forest regression	39
Stock market volatility forecasting: Do we need high-frequency data?	39
Crude oil price forecasting incorporating news text	39
Big data from dynamic pricing: A smart approach to tourism demand forecasting	38
Forecasting sales using online review and search engine data: A method based on PCA–DSFOA–BPNN	38
Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates	38
Preventing rather than punishing: An early warning model of malfeasance in public procurement	38
Artificial bee colony-based combination approach to forecasting agricultural commodity prices	35
The M5 uncertainty competition: Results, findings and conclusions	35
Forecasting macroeconomic risks	35