Susan McKeever
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- Video Surveillance and Tracking Methods 7
- Context-Aware Activity Recognition Systems 6
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 5
- Signal Processing top 10%
- Management Information Systems top 10%
- Human-Computer Interaction top 10%
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- Hate Speech and Cyberbullying Detection 7
- Anomaly Detection Techniques and Applications 6
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- Spam and Phishing Detection 5
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- Phonocardiography and Auscultation Techniques 5
- Co-authors
- Simon DobsonJuan YeJane CourtneyAyman TahaLorcan CoyleSarah Jane DelanyChris J. BleakleyIhsan Ullah
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- IrelandEgyptUnited Kingdom
In The Last Decade
Susan McKeever
44 papers receiving 786 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 364
- Signal Processing 96
- Computer Networks and Communications 179
- Management Information Systems 65
- Human-Computer Interaction 38
Countries citing papers authored by Susan McKeever
This map shows the geographic impact of Susan McKeever'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 Susan McKeever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan McKeever more than expected).
Fields of papers citing papers by Susan McKeever
This network shows the impact of papers produced by Susan McKeever. 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 Susan McKeever. The network helps show where Susan McKeever may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan McKeever, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 60 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 57 | |
| 16 | Exploring Composite Dataset Biases for Heart Sound Classification. | 2020 | 1 |
| 17 | Detecting Hacker Threats: Performance of Word and Sentence Embedding Models in Identifying Hacker Communications | 2019 | 5 |
| 18 | 2018 | 2 | |
| 19 | 2011 | 273 | |
| 20 | 2003 | 68 |
About Susan McKeever
Susan McKeever is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 52 papers that have together received 848 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (7 papers), Video Surveillance and Tracking Methods (7 papers), Context-Aware Activity Recognition Systems (6 papers), Anomaly Detection Techniques and Applications (6 papers), Spam and Phishing Detection (5 papers), Phonocardiography and Auscultation Techniques (5 papers), Human Pose and Action Recognition (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (364 citations), Signal Processing (96 citations) and Computer Networks and Communications (179 citations). Susan McKeever has collaborated with scholars based in Ireland, Egypt and United Kingdom. Frequent co-authors include Simon Dobson, Juan Ye, Jane Courtney, Ayman Taha, Lorcan Coyle, Sarah Jane Delany, Chris J. Bleakley, Ihsan Ullah, Dympna O’Sullivan and Hao Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.