2026 Uwe Aickelin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4806	4671	142	141	395	11954

Overview

Uwe Aickelin is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of computer science. Their research mainly spans across artificial intelligence, management science and operations research, computational theory and mathematics, statistics and probability, and signal processing.

Their recent publications include:

Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization, 2023, Scientific Reports
Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem, 2020, Minerva Access (University of Melbourne)
RETRACTED: Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients, 2021, Journal of Infection and Public Health
Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature, 2021, International Journal of Intelligent Systems
A Comprehensive Survey on Imputation of Missing Data in Internet of Things, 2022, ACM Computing Surveys

Their frequent co-authors include:

Hadi Akbarzadeh Khorshidi
Xuetong Wu
Jonathan H. Manton
Jingge Zhu
Hassan A. Alsattar

Uwe Aickelin publishes regularly in a range of venues such as:

arXiv (Cornell University)
Minerva Access (University of Melbourne)
International Journal of Intelligent Systems
ACM Computing Surveys
Journal of Advanced Research

Their main fields of study focus on computer science with a strong emphasis on artificial intelligence. Key subfields in their work include:

Artificial Intelligence
Management Science and Operations Research
Computational Theory and Mathematics
Statistics and Probability
Signal Processing

Their research topics cover various facets within computer science, especially:

Multi-Criteria Decision Making
Imbalanced Data Classification Techniques
Advanced Multi-Objective Optimization Algorithms
Fuzzy Systems and Optimization
Fuzzy Logic and Control Systems
Time Series Analysis and Forecasting
Metaheuristic Optimization Algorithms Research

Best Publications

Parallel Problem Solving from Nature - PPSN VIII

Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

1520
Citations
Danger theory: The link between AIS and IDS?

Uwe Aickelin;Peter J. Bentley;Steve Cayzer;Jungwon Kim

569
Citations
An indirect genetic algorithm for a nurse-scheduling problem

Uwe Aickelin;Kathryn A. Dowsland

549
Citations
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection

Julie Greensmith;Uwe Aickelin;Steve Cayzer

476
Citations
Immune system approaches to intrusion detection --- a review

Jungwon Kim;Peter J. Bentley;Uwe Aickelin;Julie Greensmith

417
Citations
Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem

Uwe Aickelin;Kathryn A. Dowsland

343
Citations
The Danger Theory and Its Application to Artificial Immune Systems

Uwe Aickelin;Steve Cayzer

279
Citations
Immune System Approaches to Intrusion Detection – A Review

Uwe Aickelin;Julie Greensmith;Jamie Twycross

274
Citations
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization

Unknown

266
Citations
Articulation and clarification of the dendritic cell algorithm

Julie Greensmith;Uwe Aickelin;Jamie Twycross

249
Citations
The Deterministic Dendritic Cell Algorithm

Julie Greensmith;Uwe Aickelin

200
Citations
An Indirect Genetic Algorithm for Set Covering Problems

Uwe Aickelin

196
Citations
Building Better Nurse Scheduling Algorithms

Uwe Aickelin;Paul White

174
Citations
Information fusion for anomaly detection with the dendritic cell algorithm

Julie Greensmith;Uwe Aickelin;Gianni Tedesco

172
Citations
Tailored RF Pulse for Magnetization Inversion at Ultrahigh Field

Aaron C. Hurley;Ali Al-Radaideh;Li Bai;Uwe Aickelin

153
Citations
Dendritic Cells for Anomaly Detection

J. Greensmith;J. Twycross;U. Aickelin

141
Citations
Dendritic cells for SYN scan detection

Julie Greensmith;Uwe Aickelin

138
Citations
An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering

Uwe Aickelin;Edmund K. Burke;Jingpeng Li

123
Citations
A New Graphical Password Scheme Resistant to Shoulder-Surfing

Haichang Gao;Zhongjie Ren;Xiuling Chang;Xiyang Liu

117
Citations
Idiotypic Immune Networks in Mobile-Robot Control

A.M. Whitbrook;U. Aickelin;J.M. Garibaldi

114
Citations
A recommender system based on the immune network

S. Cayzer;U. Aickelin

114
Citations
Danger Theory: The Link between AIS and IDS?

Uwe Aickelin;Peter Bentley;Steve Cayzer;Kim Jungwon

12
Citations
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems

Steve Cayzer;Uwe Aickelin

9
Citations

Frequent Co-Authors

Jonathan M. Garibaldi University of Nottingham

Chris W. Clegg University of Leeds

Tom Rodden University of Nottingham

Lindy G. Durrant University of Nottingham

Yanchun Zhang Victoria University

Edmund K. Burke Bangor University

Larry Bull University of the West of England

Rong Qu University of Nottingham

Eamonn Ferguson University of Nottingham

Peter J. Bentley University College London

External Links

Personal website of Uwe Aickelin Google Scholar page

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