Brian Mac Namee
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Topic Modeling
Papers in
-
- Anomaly Detection Techniques and Applications 14
- Machine Learning and Data Classification 14
- Data Stream Mining Techniques 12
- Topic Modeling 11
- Machine Learning and Algorithms 10
- Text and Document Classification Technologies 7
- Co-authors
- John D. Kelleher (29 shared papers)Sarah Jane Delany (21 shared papers)Elizabeth Hunter (7 shared papers)Mark Scanlon (1 shared paper)Oisín Boydell (1 shared paper)Quan Le (1 shared paper)Derek Greene (4 shared papers)Pádraig Cunningham (4 shared papers)
- Journals
- IEEE Access (4 papers)Expert Systems with Applications (4 papers)Journal of Artificial Societies and Social Simulation (3 papers)Lecture notes in computer science (19 papers)Scientific Reports (2 papers)
- Partner nations
- IrelandUnited KingdomSwitzerland
In The Last Decade
Brian Mac Namee
114 papers receiving 1.8k citations
Brian Mac Namee's Hit Papers
Peers
Comparison fields: 5 of 179
- Modeling and Simulation 186
- Artificial Intelligence 773
- Signal Processing 241
- Computer Science Applications 113
- Health Informatics 28
Countries citing papers authored by Brian Mac Namee
This map shows the geographic impact of Brian Mac Namee'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 Brian Mac Namee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Mac Namee more than expected).
Fields of papers citing papers by Brian Mac Namee
This network shows the impact of papers produced by Brian Mac Namee. 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 Brian Mac Namee. The network helps show where Brian Mac Namee may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Mac Namee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies Hit paper breakdown → | 2015 | 451 |
| 2 | 2018 | 157 | |
| 3 | 2017 | 107 | |
| 4 | 2018 | 84 | |
| 5 | 2017 | 72 | |
| 6 | 2002 | 66 | |
| 7 | Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device Hit paper breakdown → | 2024 | 51 |
| 8 | 2020 | 46 | |
| 9 | Fundamentals of Machine Learning for Predictive Data Analytics | 2021 | 43 |
| 10 | 2012 | 42 | |
| 11 | 2019 | 42 | |
| 12 | 2012 | 35 | |
| 13 | 2015 | 35 | |
| 14 | 2020 | 33 | |
| 15 | 2012 | 30 | |
| 16 | 2012 | 28 | |
| 17 | 2014 | 28 | |
| 18 | 2010 | 24 | |
| 19 | 2023 | 23 | |
| 20 | 2010 | 22 |
About Brian Mac Namee
Brian Mac Namee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Modeling and Simulation and Human-Computer Interaction, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (14 papers), Machine Learning and Data Classification (14 papers), Data Stream Mining Techniques (12 papers), Topic Modeling (11 papers), Machine Learning and Algorithms (10 papers), Social Robot Interaction and HRI (8 papers), Text and Document Classification Technologies (7 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (186 citations), Artificial Intelligence (773 citations), Signal Processing (241 citations), Computer Science Applications (113 citations) and Health Informatics (28 citations). Brian Mac Namee has collaborated with scholars based in Ireland, United Kingdom and Switzerland. Frequent co-authors include John D. Kelleher, Sarah Jane Delany, Elizabeth Hunter, Mark Scanlon, Oisín Boydell, Quan Le, Derek Greene, Pádraig Cunningham, Arjun Pakrashi and Owen I. Corrigan. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Journal of Artificial Societies and Social Simulation, Lecture notes in computer science and Scientific Reports.
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.