Andreas Floros

78 papers receiving 441 citations

Peers

Andreas Floros
Comparison fields: 5 of 64
  • Human-Computer Interaction 99
  • Signal Processing 165
  • Computer Vision and Pattern Recognition 198
  • Cognitive Neuroscience 167
  • Experimental and Cognitive Psychology 50
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Citations per year

Countries citing papers authored by Andreas Floros

Since Specialization
Citations

This map shows the geographic impact of Andreas Floros'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 Andreas Floros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Floros more than expected).

Fields of papers citing papers by Andreas Floros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Floros. 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 Andreas Floros. The network helps show where Andreas Floros may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Floros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Floros Line = papers co-authored together Andreas Floros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201529
2 201222
3 202020
4 201917
5 201317
6 201417
7 201915
8 201814
9 201614
10 201514
11 201213
12 201313
13 201212
14 201312
15
AES White Paper: Best Practices in Network Audio
200911
16 201211
17
Interactive Audio Realities: An Augmented / Mixed Reality Audio Game Prototype
20119
18
Towards the All-Digital Audio/Acoustic Chain: Challenges and Solutions
20039
19
Augmented Audio-Only Games: A New Generation of Immersive Acoustic Environments through Advanced Mixing
20199
20
Eidola: An Interactive Augmented Reality Audio-Game Prototype
20099

About Andreas Floros

Andreas Floros is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Networks and Communications and Artificial Intelligence, having authored 84 papers that have together received 472 indexed citations. Recurring topics across this work include Music and Audio Processing (31 papers), Music Technology and Sound Studies (28 papers), Speech and Audio Processing (23 papers), Tactile and Sensory Interactions (10 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Hearing Loss and Rehabilitation (7 papers) and Neuroscience and Music Perception (7 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Signal Processing (165 citations), Computer Vision and Pattern Recognition (198 citations), Cognitive Neuroscience (167 citations) and Experimental and Cognitive Psychology (50 citations). Andreas Floros has collaborated with scholars based in Greece, United Kingdom and Finland. Frequent co-authors include Michael N. Vrahatis, Μάξιμος Καλιακάτσος-Παπακώστας, Konstantinos Drossos, John Mourjopoulos, Nicolas‐Alexander Tatlas, George Giannakopoulos, Ioannis Deliyannis, Michael G. Epitropakis, Yiorgos Tsiatouhas and Markos Avlonitis. Their work appears in journals such as Journal of the Audio Engineering Society, International Journal of Arts and Technology, IEEE Transactions on Consumer Electronics, IEEE Transactions on Affective Computing and The Electronic Journal of e-Learning.

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.

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