Michael Schukat
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Enda BarrettMarcus KeaneHugh MelvinMohammad Amzad HossainMichael McMahonEdmond HolohanMd Sipon MiahPeter Corcoran
- Topics
- Advanced Malware Detection Techniques (11 papers)Network Security and Intrusion Detection (10 papers)Cognitive Radio Networks and Spectrum Sensing (9 papers)
- Journals
- IEEE AccessSensorsNeural Networks
- Partner nations
- IrelandBangladeshAustralia
In The Last Decade
Michael Schukat
61 papers receiving 662 citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 311
- Electrical and Electronic Engineering 256
- Control and Systems Engineering 117
- Artificial Intelligence 108
- Information Systems 107
Countries citing papers authored by Michael Schukat
This map shows the geographic impact of Michael Schukat'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 Michael Schukat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schukat more than expected).
Fields of papers citing papers by Michael Schukat
This network shows the impact of papers produced by Michael Schukat. 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 Michael Schukat. The network helps show where Michael Schukat may publish in the future.
Co-authorship network of co-authors of Michael Schukat
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schukat. A scholar is included among the top collaborators of Michael Schukat 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 Michael Schukat. Michael Schukat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach. | 1 |
| 13 | Machine Learning Methods Applied to Building Energy Production and Consumption Prediction. | 2 |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 41 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Exploration and Object Recognition Using Cooperative Robots. | 0 |
About Michael Schukat
Michael Schukat is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 694 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers) and Cognitive Radio Networks and Spectrum Sensing (9 papers). The work is most often cited by research in Computer Networks and Communications (311 citations), Signal Processing (95 citations) and Building and Construction (106 citations). Michael Schukat has collaborated with scholars based in Ireland, Bangladesh and Australia. Frequent co-authors include Enda Barrett, Marcus Keane, Hugh Melvin, Mohammad Amzad Hossain, Michael McMahon, Edmond Holohan, Md Sipon Miah, Peter Corcoran, Stephen J. Redmond and Will Ke Wang. Their work appears in journals such as IEEE Access, Sensors and Neural Networks.
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.