Charalampos Saitis
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Kyriaki KalimeriStefano PapettiGary ScavoneKai SiedenburgClaudia FritzBruno L. GiordanoGyörgy FazekasStephen McAdams
- Topics
- Music Technology and Sound Studies (13 papers)Music and Audio Processing (11 papers)Neuroscience and Music Perception (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of the Acoustical Society of America
- Partner nations
- United KingdomGermanyCanada
In The Last Decade
Charalampos Saitis
27 papers receiving 295 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 170
- Computer Vision and Pattern Recognition 102
- Experimental and Cognitive Psychology 90
- Signal Processing 82
- Human-Computer Interaction 37
Countries citing papers authored by Charalampos Saitis
This map shows the geographic impact of Charalampos Saitis'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 Charalampos Saitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charalampos Saitis more than expected).
Fields of papers citing papers by Charalampos Saitis
This network shows the impact of papers produced by Charalampos Saitis. 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 Charalampos Saitis. The network helps show where Charalampos Saitis may publish in the future.
Co-authorship network of co-authors of Charalampos Saitis
This figure shows the co-authorship network connecting the top 25 collaborators of Charalampos Saitis. A scholar is included among the top collaborators of Charalampos Saitis 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 Charalampos Saitis. Charalampos Saitis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 33 | |
| 15 | 42 | |
| 16 | 12 | |
| 17 | 25 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 47 |
About Charalampos Saitis
Charalampos Saitis is a scholar working on Signal Processing, Cognitive Neuroscience and Architecture, having authored 31 papers that have together received 307 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (13 papers), Music and Audio Processing (11 papers) and Neuroscience and Music Perception (10 papers). The work is most often cited by research in Cognitive Neuroscience (170 citations), Signal Processing (82 citations) and Experimental and Cognitive Psychology (90 citations). Charalampos Saitis has collaborated with scholars based in United Kingdom, Germany and Canada. Frequent co-authors include Kyriaki Kalimeri, Stefano Papetti, Gary Scavone, Kai Siedenburg, Claudia Fritz, Bruno L. Giordano, György Fazekas, Stephen McAdams, Richard R. Fay and Arthur N. Popper. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.
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.