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
- Topic Modeling
- Data Stream Mining Techniques
Papers in
-
- Anomaly Detection Techniques and Applications 16
- Machine Learning and Data Classification 14
- Topic Modeling 13
- Data Stream Mining Techniques 12
- Artificial Intelligence in Games 10
- Machine Learning and Algorithms 10
- Co-authors
- John D. Kelleher (31 shared papers)Sarah Jane Delany (22 shared papers)Elizabeth Hunter (7 shared papers)Pádraig Cunningham (6 shared papers)Quan Le (1 shared paper)Oisín Boydell (1 shared paper)Mark Scanlon (1 shared paper)Derek Greene (6 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 (20 papers)Applied Network Science (1 paper)
- Partner nations
- IrelandUnited KingdomSwitzerland
In The Last Decade
Brian Mac Namee
121 papers receiving 1.8k citations
Brian Mac Namee's Hit Papers
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 181
- Artificial Intelligence 879
- Signal Processing 248
- Health Informatics 27
- Computer Science Applications 112
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 146 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 | 449 |
| 2 | 2018 | 156 | |
| 3 | 2017 | 103 | |
| 4 | 2018 | 81 | |
| 5 | 2002 | 67 | |
| 6 | 2017 | 66 | |
| 7 | Research Directions for AI in Computer Games | 2001 | 49 |
| 8 | Fundamentals of Machine Learning for Predictive Data Analytics | 2021 | 46 |
| 9 | 2020 | 43 | |
| 10 | 2019 | 41 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2012 | 31 | |
| 15 | 2020 | 30 | |
| 16 | 2014 | 29 | |
| 17 | 2012 | 28 | |
| 18 | 2010 | 25 | |
| 19 | Smart Objects for Attentive Agents | 2003 | 23 |
| 20 | 2010 | 23 |
About Brian Mac Namee
Brian Mac Namee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Control and Systems Engineering and Information Systems, having authored 146 papers that have together received 2.0k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (16 papers), Machine Learning and Data Classification (14 papers), Topic Modeling (13 papers), Data Stream Mining Techniques (12 papers), Artificial Intelligence in Games (10 papers), Machine Learning and Algorithms (10 papers), Human Motion and Animation (8 papers) and Social Robot Interaction and HRI (8 papers). The work is most often cited by research in Modeling and Simulation (181 citations), Artificial Intelligence (879 citations), Signal Processing (248 citations), Health Informatics (27 citations) and Computer Science Applications (112 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, Pádraig Cunningham, Quan Le, Oisín Boydell, Mark Scanlon, Derek Greene, 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 Applied Network 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.