Uwe Aickelin

7.6k total citations · 1 hit paper
248 papers, 3.2k citations indexed

About

Uwe Aickelin is a scholar working on Artificial Intelligence, Management Science and Operations Research and Biomedical Engineering. According to data from OpenAlex, Uwe Aickelin has authored 248 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 59 papers in Management Science and Operations Research and 52 papers in Biomedical Engineering. Recurrent topics in Uwe Aickelin's work include Artificial Immune Systems Applications (52 papers), T-cell and B-cell Immunology (19 papers) and Scheduling and Timetabling Solutions (18 papers). Uwe Aickelin is often cited by papers focused on Artificial Immune Systems Applications (52 papers), T-cell and B-cell Immunology (19 papers) and Scheduling and Timetabling Solutions (18 papers). Uwe Aickelin collaborates with scholars based in United Kingdom, Australia and China. Uwe Aickelin's co-authors include Julie Greensmith, Hadi Akbarzadeh Khorshidi, Jamie Twycross, Steve Cayzer, Peer‐Olaf Siebers, Jingpeng Li, Mahdi Azizi, Milad Baghalzadeh Shishehgarkhaneh, Jonathan M. Garibaldi and Jan Feyereisl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Uwe Aickelin

230 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2023 164 citations Uwe Aickelin, Hadi Akbarzadeh Khorshidi et al. profile →

Peers

Uwe Aickelin

AI

BE

CNC

MSOR

SP

Bogdan Gabryś United Kingdom

Ali Ahmadian Malaysia

Shaker El–Sappagh Egypt

Bo Yang China

Chao‐Hsien Chu United States

Ilias Maglogiannis Greece

Janmenjoy Nayak India

Tarik A. Rashid Iraq

Zijiang Yang China

Ahamad Tajudin Khader Malaysia

Bogdan Gabryś United Kingdom

Uwe Aickelin

2.1k ×2.0

AI

248 ×0.3

BE

303 ×0.6

CNC

307 ×0.7

MSOR

338 ×1.1

SP

Citations per year, relative to Uwe Aickelin Uwe Aickelin (= 1×) peers Bogdan Gabryś

Countries citing papers authored by Uwe Aickelin

Since Specialization

Citations

This map shows the geographic impact of Uwe Aickelin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uwe Aickelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Aickelin more than expected).

Fields of papers citing papers by Uwe Aickelin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe Aickelin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uwe Aickelin. The network helps show where Uwe Aickelin may publish in the future.

Co-authorship network of co-authors of Uwe Aickelin

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Aickelin. A scholar is included among the top collaborators of Uwe Aickelin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uwe Aickelin. Uwe Aickelin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Aickelin, Uwe, et al.. (2025). Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments. BMJ Health & Care Informatics. 32(1). e101152–e101152.

2.

Wang, Jinxi, Ling Luo, Uwe Aickelin, David J. Berlowitz, & Mark E. Howard. (2025). Breathing Cycle-Aware Segmentation for Patient-Ventilator Asynchrony Detection. IEEE Journal of Biomedical and Health Informatics. 29(12). 8655–8662.

3.

Yang, Yuxuan, Hadi Akbarzadeh Khorshidi, & Uwe Aickelin. (2024). A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems. Frontiers in Digital Health. 6. 1430245–1430245. 16 indexed citations

4.

Manton, Jonathan H., et al.. (2024). On the Generalization for Transfer Learning: An Information-Theoretic Analysis. IEEE Transactions on Information Theory. 70(10). 7089–7124. 3 indexed citations

5.

Sun, Yuan, Su Nguyen, Dhananjay Thiruvady, et al.. (2024). Enhancing constraint programming via supervised learning for job shop scheduling. Knowledge-Based Systems. 293. 111698–111698. 4 indexed citations

6.

Mohammed, R. T., A. H. Alamoodi, O. S. Albahri, et al.. (2023). A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment. Applied Soft Computing. 143. 110297–110297. 25 indexed citations

7.

Noori-daryan, Mahsa, Ata Allah Taleizadeh, & Uwe Aickelin. (2023). Time-sensitive cancellation refund in advance booking: Effect of online-to-offline marketing policy. Computers & Industrial Engineering. 183. 109445–109445. 3 indexed citations

8.

Manton, Jonathan H., et al.. (2023). A Bayesian approach to (online) transfer learning: Theory and algorithms. Artificial Intelligence. 324. 103991–103991. 12 indexed citations

9.

Aickelin, Uwe, et al.. (2022). Pharmaceutical process optimisation: Decision support under high uncertainty. Computers & Chemical Engineering. 170. 108100–108100. 6 indexed citations

10.

Fahmideh, Mahdi, John Grundy, Aakash Ahmad, et al.. (2022). Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions. ACM Computing Surveys. 55(6). 1–44. 22 indexed citations

11.

Alsalem, M. A., R. T. Mohammed, O. S. Albahri, et al.. (2021). Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature. International Journal of Intelligent Systems. 37(6). 3514–3624. 63 indexed citations

12.

Aickelin, Uwe. (2020). Handbook of metaheuristics (International series in operations research and management science). Minerva Access (University of Melbourne). 9 indexed citations

13.

Aickelin, Uwe & Kathryn A. Dowsland. (2020). Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem. Minerva Access (University of Melbourne). 5 indexed citations

14.

Xue, Ning, Ruibin Bai, Rong Qu, & Uwe Aickelin. (2020). A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem. European Journal of Operational Research. 292(2). 500–514. 14 indexed citations

15.

Khorshidi, Hadi Akbarzadeh, et al.. (2019). Imputation techniques on missing values in breast cancer treatment and fertility data. Health Information Science and Systems. 7(1). 19–19. 15 indexed citations

16.

Al-Hammadi, Yousof, Uwe Aickelin, & Julie Greensmith. (2009). Performance Evaluation of DCA and SRC on a Single Bot Detection. Nottingham ePrints (University of Nottingham). 5(1).

17.

Majid, Mazlina Abdul, Uwe Aickelin, & Peer‐Olaf Siebers. (2009). Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach. arXiv (Cornell University). 2009(3). 177–184. 14 indexed citations

18.

Feyereisl, Jan & Uwe Aickelin. (2009). SELF-ORGANISING MAPS IN COMPUTER SECURITY. SSRN Electronic Journal. 2 indexed citations

19.

Aickelin, Uwe, et al.. (2008). The Motif Tracking Algorithm. SSRN Electronic Journal.

20.

Garrett, Simon, et al.. (2006). Modelling Immunological Memory. SSRN Electronic Journal. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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