Uwe Aickelin
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Computer Networks and Communications top 2%
- Management Science and Operations Research top 1%
- Signal Processing top 2%
- Co-authors
- Julie GreensmithHadi Akbarzadeh KhorshidiJamie TwycrossSteve CayzerPeer‐Olaf SiebersJingpeng LiMahdi AziziMilad Baghalzadeh Shishehgarkhaneh
- Topics
- Artificial Immune Systems Applications (52 papers)T-cell and B-cell Immunology (19 papers)Scheduling and Timetabling Solutions (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Cleaner Production
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
Uwe Aickelin
230 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 1.0k
- Biomedical Engineering 777
- Computer Networks and Communications 537
- Management Science and Operations Research 411
- Signal Processing 321
Countries citing papers authored by Uwe Aickelin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 63 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 15 | |
| 16 | Performance Evaluation of DCA and SRC on a Single Bot Detection | 0 |
| 17 | 14 | |
| 18 | SELF-ORGANISING MAPS IN COMPUTER SECURITY | 2 |
| 19 | The Motif Tracking Algorithm | 0 |
| 20 | Modelling Immunological Memory | 3 |
About Uwe Aickelin
Uwe Aickelin is a scholar working on Management Science and Operations Research, Toxicology and Artificial Intelligence, having authored 248 papers that have together received 3.2k indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (52 papers), T-cell and B-cell Immunology (19 papers) and Scheduling and Timetabling Solutions (18 papers). The work is most often cited by research in Management Science and Operations Research (411 citations), Artificial Intelligence (1.0k citations) and Signal Processing (321 citations). Uwe Aickelin has collaborated with scholars based in United Kingdom, Australia and China. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.
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.