Leaderboards/Forecasting Techniques and Applications

Forecasting Techniques and Applications

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Bryan Lim
University of Oxford
2
Bingzi Jin
Advanced Micro Devices (Canada)
3
Akshit Kurani
Indus University
4
Dulakshi Santhusitha Kumari Karunasingha
University of Peradeniya
5
Kyung Keun Yun
Binghamton University
6
Chaojie Wang
Wuhan University of Technology
7
Zonglei Chen
Southwest Jiaotong University
8
Estee Y. Cramer
University of Massachusetts Amherst
9
Hum Nath Bhandari
Roger Williams University
10
Julian Senoner
ETH Zurich

Rising Stars Papers

1
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Neural Computing and Applications|2024
268 cit.
2
Price forecasting through neural networks for crude oil, heating oil, and natural gas
Measurement Energy|2024
237 cit.
3
Wholesale price forecasts of green grams using the neural network
Asian Journal of Economics and Banking|2024
236 cit.
4
Carbon emission allowance price forecasting for China Guangdong carbon emission exchange via the neural network
Global Finance Review|2024
204 cit.
5
Thermal coal futures trading volume predictions through the neural network
Journal of Modelling in Management|2024
204 cit.
6
Forecasts of coking coal futures price indices through Gaussian process regressions
Mineral Economics|2024
201 cit.
7
Peanut oil price change forecasts through the neural network
foresight|2025
195 cit.
8
Pre-owned housing price index forecasts using Gaussian process regressions
Journal of Modelling in Management|2024
171 cit.
9
Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Journal of Clean Energy and Energy Storage|2024
168 cit.
10
Regional steel price index predictions for North China through machine learning
International Journal of Mining and Mineral Engineering|2024
167 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Evangelos Spiliotis
National Technical University of Athens
2
Benjamin Letham
Meta (Israel)
3
Kasun Bandara
Monash University
4
Hung-yi Lee
National Taiwan University
5
Florian Ziel
University of Duisburg-Essen
6
Yanfei Kang
Chongqing University
7
Mhamed Hamiche
Abdelmalek Essaâdi University
8
Fereshteh Mafakheri
Université du Québec à Montréal
9
Sun Aijun
Jiangsu Second Normal University
10
Kim Phuc Tran
Université de Lille

Emerging Leaders Papers

1
Forecasting: theory and practice
BOA (University of Milano-Bicocca)|2022
830 cit.
2
Can Large Language Models Be an Alternative to Human Evaluations?
Unknown Journal|2023
260 cit.
3
Forecast combinations: An over 50-year review
International Journal of Forecasting|2022
248 cit.
4
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
Computers in Industry|2022
129 cit.
5
Distilhubert: Speech Representation Learning by Layer-Wise Distillation of Hidden-Unit Bert
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)|2022
107 cit.
6
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
IEEE Access|2022
102 cit.
7
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
International Journal of Operational Research|2022
96 cit.
8
Distributional neural networks for electricity price forecasting
Energy Economics|2023
83 cit.
9
Large Language Models: Their Success and Impact
Forecasting|2023
79 cit.
10
Explainable Anomaly Detection for Industrial Control System Cybersecurity
IFAC-PapersOnLine|2022
64 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Daniel Kahneman
Princeton University
2
Robert L. Winkler
Technische Universität Darmstadt
3
Adrian E. Raftery
University of Washington
4
Roberto S. Mariano
Singapore Management University
5
Giuseppe Jurman
Humanitas University
6
Mark W. Watson
Princeton University
7
Vassilios Assimakopoulos
National Technical University of Athens
8
Michael Y. Hu
Kent State University
9
Joseph E. Stiglitz
National Bureau of Economic Research
10
Rob J. Hyndman
Monash University

Current Senior Leaders Papers

1
Prospect Theory: An Analysis of Decision under Risk
Econometrica|1979
47k cit.
2
Judgment under Uncertainty: Heuristics and Biases
Science|1974
28k cit.
3
Judgment under Uncertainty: Heuristics and Biases
Unknown Journal|1975
23.1k cit.
4
The Framing of Decisions and the Psychology of Choice
Science|1981
17.3k cit.
5
Advances in prospect theory: Cumulative representation of uncertainty
Journal of Risk and Uncertainty|1992
15.6k cit.
6
Credit Rationing in Markets with Imperfect Information
American Economic Review|1981
12.9k cit.
7
Bayes Factors
Journal of the American Statistical Association|1995
12.3k cit.
8
Availability: A heuristic for judging frequency and probability
Cognitive Psychology|1973
9.9k cit.
9
Attention and Effort
The American Journal of Psychology|1975
7.1k cit.
10
Bayesian Model Selection in Social Research
Sociological Methodology|1995
6.9k cit.

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