Probability and Statistical Research Leaderboard

Rising Stars

New and hot

Rising Stars Researchers

1

Sébastien Farkas

Centre National de la Recherche Scientifique

2

3

4

Istanbul 29 Mayis University

5

Fatma Hilal Yağın

Malatya Turgut Özal Üniversitesi

6

Josh Armstrong

University of California, Los Angeles

7

Per Gösta Andersson

Statistics Sweden

8

Benjamin Holmes

University of Liverpool

9

Thomas Freud

Universidade Federal de Pernambuco

10

Abdelmjid Benmerrous

Laboratoire de Recherche Scientifique

Rising Stars Papers

1

ddml: Double/debiased machine learning in Stata

The Stata Journal Promoting communications on statistics and Stata|2024

48 cit.

2

Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy

Diagnostics|2024

19 cit.

3

Turing.jl: A General-Purpose Probabilistic Programming Language

ACM transactions on probabilistic machine learning.|2025

19 cit.

4

Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence

Diagnostics|2024

15 cit.

5

Model Averaging and Double Machine Learning

Journal of Applied Econometrics|2025

15 cit.

6

Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery

Nutrients|2024

13 cit.

7

Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome

PeerJ Computer Science|2024

12 cit.

8

Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach

Journal of Clinical Medicine|2024

10 cit.

9

Model Averaging and Double Machine Learning

SSRN Electronic Journal|2024

7 cit.

10

Generalized solutions for time $\psi$-fractional evolution equations

Boletim da Sociedade Paranaense de Matemática|2024

6 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Papers

1

Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model

Applied Sciences|2023

126 cit.

2

Feature engineering and deep learning-based intrusion detection framework for securing edge IoT

The Journal of Supercomputing|2022

67 cit.

3

Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning

Journal of Healthcare Engineering|2022

52 cit.

4

Teaching and learning of probability

ZDM|2023

46 cit.

5

On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events

Diagnostics|2023

41 cit.

6

A Novel Probabilistic Approach Based on Trigonometric Function: Model, Theory with Practical Applications

Symmetry|2023

35 cit.

7

A New Modification of the Weibull Distribution: Model, Theory, and Analyzing Engineering Data Sets

Symmetry|2024

35 cit.

8

The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models

Energy Economics|2023

34 cit.

9

A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applications

Heliyon|2023

28 cit.

10

An Innovative Clustering Hierarchical Protocol for Data Collection from Remote Wireless Sensor Networks Based Internet of Things Applications

Sensors|2023

28 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Papers

1

Quantifying heterogeneity in a meta‐analysis

Statistics in Medicine|2002

36.7k cit.

2

The Cochrane Collaboration's tool for assessing risk of bias in randomised trials

BMJ|2011

34.2k cit.

3

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

BMJ|2016

19k cit.

4

Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

BMJ|2011

7.4k cit.

5

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

Research Synthesis Methods|2020

5k cit.

6

Introduction to Probability Models.

Journal of the Royal Statistical Society Series A (Statistics in Society)|1995

4.6k cit.

7

Chapter 8: Assessing risk of bias in included studies

Unknown Journal|2008

3.8k cit.

8

Probability: Theory and Examples.

Journal of the American Statistical Association|1992

3.3k cit.

9

Quantum-mechanical noise in an interferometer

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields|1981

3.2k cit.

10

Statistical distance and the geometry of quantum states

Physical Review Letters|1994

3.2k cit.

Probability and Statistical Research