Panikos Heracleous
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Kiyohiro ShikanoAkio YoneyamaHiroshi SaruwatariNorihiro HagitaDenis BeautempsNoureddine AboutabitPierre BadinGérard Bailly
- Topics
- Speech and Audio Processing (30 papers)Speech Recognition and Synthesis (27 papers)Music and Audio Processing (17 papers)
In The Last Decade
Panikos Heracleous
40 papers receiving 293 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 227
- Artificial Intelligence 176
- Experimental and Cognitive Psychology 72
- Human-Computer Interaction 44
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Panikos Heracleous
This map shows the geographic impact of Panikos Heracleous'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 Panikos Heracleous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panikos Heracleous more than expected).
Fields of papers citing papers by Panikos Heracleous
This network shows the impact of papers produced by Panikos Heracleous. 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 Panikos Heracleous. The network helps show where Panikos Heracleous may publish in the future.
Co-authorship network of co-authors of Panikos Heracleous
This figure shows the co-authorship network connecting the top 25 collaborators of Panikos Heracleous. A scholar is included among the top collaborators of Panikos Heracleous based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Panikos Heracleous. Panikos Heracleous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 24 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | Continuous phoneme recognition in Cued Speech for French | 7 |
| 8 | 10 | |
| 9 | Speech Production in Noisy Environments and the Effect on Automatic Speech Recognition. | 1 |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | Acoustic-to-articulatory inversion using speech recognition and trajectory formation based on phoneme hidden Markov models | 13 |
| 14 | 4 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | Audible (normal) speech and inaudible murmur recognition using NAM microphone | 5 |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 6 |
About Panikos Heracleous
Panikos Heracleous is a scholar working on Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 43 papers that have together received 326 indexed citations. Recurring topics across this work include Speech and Audio Processing (30 papers), Speech Recognition and Synthesis (27 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (227 citations), Human-Computer Interaction (44 citations) and Experimental and Cognitive Psychology (72 citations). Panikos Heracleous has collaborated with scholars based in Japan, France and Cyprus. Frequent co-authors include Kiyohiro Shikano, Akio Yoneyama, Hiroshi Saruwatari, Norihiro Hagita, Denis Beautemps, Noureddine Aboutabit, Pierre Badin, Gérard Bailly, Hiroshi Ishiguro and Carlos Toshinori Ishi. Their work appears in journals such as PLoS ONE, Pattern Recognition Letters and IEEE Signal Processing Letters.
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.