Athanasios K. Noulas
Impact in
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- Context-Aware Activity Recognition Systems
- Signal Processing top 5%
- Speech and Audio Processing
Papers in
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- Speech and Audio Processing 3
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- Context-Aware Activity Recognition Systems 2
- Video Analysis and Summarization 1
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Ben Kröse (8 shared papers)Gwenn Englebienne (2 shared papers)Tim L. M. van Kasteren (3 shared papers)Dick H. J. Epema (1 shared paper)Nikos A. Vlassis (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (1 paper)UvA-DARE (University of Amsterdam) (4 papers)International Conference on Multimodal Interfaces (2 papers)
- Partner nations
- Netherlands
In The Last Decade
Athanasios K. Noulas
8 papers receiving 801 citations
Athanasios K. Noulas's Hit Papers
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 629
- Signal Processing 66
- Artificial Intelligence 128
- Human-Computer Interaction 18
- Management Information Systems 13
Countries citing papers authored by Athanasios K. Noulas
This map shows the geographic impact of Athanasios K. Noulas'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 Athanasios K. Noulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athanasios K. Noulas more than expected).
Fields of papers citing papers by Athanasios K. Noulas
This network shows the impact of papers produced by Athanasios K. Noulas. 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 Athanasios K. Noulas. The network helps show where Athanasios K. Noulas may publish in the future.
Co-authors
The 5 scholars most cited alongside Athanasios K. Noulas, 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 | Accurate activity recognition in a home setting Hit paper breakdown → | 2008 | 723 |
| 2 | 2011 | 54 | |
| 3 | 2007 | 22 | |
| 4 | 2006 | 21 | |
| 5 | Conditional Random Fields versus Hidden Markov Models for activity recognition in temporal sensor data | 2008 | 6 |
| 6 | Unsupervised Visual Object Class Recognition | 2006 | 3 |
| 7 | Cross Entropy for learning in Multi-Modal Streams | 2007 | 2 |
| 8 | 2008 | 1 |
About Athanasios K. Noulas
Athanasios K. Noulas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 832 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (3 papers), Context-Aware Activity Recognition Systems (2 papers), Video Analysis and Summarization (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (629 citations), Signal Processing (66 citations), Artificial Intelligence (128 citations), Human-Computer Interaction (18 citations) and Management Information Systems (13 citations). Athanasios K. Noulas has collaborated with scholars based in Netherlands. Frequent co-authors include Ben Kröse, Gwenn Englebienne, Tim L. M. van Kasteren, Dick H. J. Epema and Nikos A. Vlassis. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, UvA-DARE (University of Amsterdam) and International Conference on Multimodal Interfaces.
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.