Julie Greensmith
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Immunology
- Molecular Biology
- Co-authors
- Uwe AickelinJamie TwycrossJan FeyereislFeng GuSteve CayzerJungwon KimQunwei WangPoulam M. Patel
- Topics
- Artificial Immune Systems Applications (26 papers)T-cell and B-cell Immunology (12 papers)Immunotherapy and Immune Responses (11 papers)
- Partner nations
- United KingdomAustraliaCanada
In The Last Decade
Julie Greensmith
28 papers receiving 465 citations
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 405
- Computer Networks and Communications 204
- Artificial Intelligence 151
- Immunology 107
- Molecular Biology 102
Countries citing papers authored by Julie Greensmith
This map shows the geographic impact of Julie Greensmith'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 Julie Greensmith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Greensmith more than expected).
Fields of papers citing papers by Julie Greensmith
This network shows the impact of papers produced by Julie Greensmith. 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 Julie Greensmith. The network helps show where Julie Greensmith may publish in the future.
Co-authorship network of co-authors of Julie Greensmith
This figure shows the co-authorship network connecting the top 25 collaborators of Julie Greensmith. A scholar is included among the top collaborators of Julie Greensmith 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 Julie Greensmith. Julie Greensmith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | The Dendritic Cell Algorithm for Intrusion Detection | 1 |
| 8 | 2 | |
| 9 | Multipath Detection Using the Dendritic Cell Algorithm | 2 |
| 10 | Performance Evaluation of DCA and SRC on a Single Bot Detection | 0 |
| 11 | Exploration Of The Dendritic Cell Algorithm With The Duration Calculus | 1 |
| 12 | 69 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 33 | |
| 16 | 46 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 106 | |
| 20 | New Frontiers For An Artificial Immune System | 4 |
About Julie Greensmith
Julie Greensmith is a scholar working on Immunology, Biomedical Engineering and Signal Processing, having authored 31 papers that have together received 519 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (26 papers), T-cell and B-cell Immunology (12 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Biomedical Engineering (405 citations), Computer Networks and Communications (204 citations) and Signal Processing (95 citations). Julie Greensmith has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Uwe Aickelin, Jamie Twycross, Jan Feyereisl, Feng Gu, Steve Cayzer, Jungwon Kim, Feng Gu, Qunwei Wang, Poulam M. Patel and Ian Spendlove. Their work appears in journals such as Journal of Leukocyte Biology, Information Fusion and Lecture notes in computer science.
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.