Len Hamey
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Co-authors
- Mahmood Yousefi‐AzarVijay VaradharajanUdaya TupakulaKevin Ho‐ShonSarvnaz KarimiSonit SinghTahereh HassanzadehShiping Chen
- Topics
- Advanced Neural Network Applications (8 papers)Neural Networks and Applications (8 papers)Advanced Malware Detection Techniques (6 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Len Hamey
57 papers receiving 877 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 494
- Computer Networks and Communications 283
- Computer Vision and Pattern Recognition 224
- Signal Processing 194
- Information Systems 104
Countries citing papers authored by Len Hamey
This map shows the geographic impact of Len Hamey'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 Len Hamey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Len Hamey more than expected).
Fields of papers citing papers by Len Hamey
This network shows the impact of papers produced by Len Hamey. 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 Len Hamey. The network helps show where Len Hamey may publish in the future.
Co-authorship network of co-authors of Len Hamey
This figure shows the co-authorship network connecting the top 25 collaborators of Len Hamey. A scholar is included among the top collaborators of Len Hamey 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 Len Hamey. Len Hamey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | Deep Learning for Domain Adaption: Engagement Recognition. | 4 |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Semi-Supervised Detection of Student Engagement | 0 |
| 10 | Using the Security Protocol Game to teach computer network security | 3 |
| 11 | Teaching secure communication protocols using a game representation | 17 |
| 12 | Teaching Secure Data Communications Using a Game Representation. | 3 |
| 13 | 22 | |
| 14 | A simulation game for teaching secure data communications protocols | 1 |
| 15 | 3 | |
| 16 | 7 | |
| 17 | Neural Network Control Using Active Learning | 3 |
| 18 | A connectionist approach to quality assessment of food products | 5 |
| 19 | 7 | |
| 20 | 31 |
About Len Hamey
Len Hamey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 61 papers that have together received 936 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Neural Networks and Applications (8 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Signal Processing (194 citations), Artificial Intelligence (494 citations) and Computer Networks and Communications (283 citations). Len Hamey has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Mahmood Yousefi‐Azar, Vijay Varadharajan, Udaya Tupakula, Kevin Ho‐Shon, Sarvnaz Karimi, Sonit Singh, Tahereh Hassanzadeh, Shiping Chen, Xi Zheng and Dongjin Yu. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.
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.