Maria Rangoussi
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Marios PoulosNikolaos AlexandrisAngelos EvangelouA. EvangelouDimitrios E. KoulouriotisTaxiarchis BotsisSavvas VassiliadisGürkan Tuna
- Topics
- Speech and Audio Processing (17 papers)Online Learning and Analytics (12 papers)Music and Audio Processing (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Colloid and Interface ScienceThe Journal of the Acoustical Society of America
- Partner nations
- GreeceTürkiyeUnited States
In The Last Decade
Maria Rangoussi
71 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 459
- Signal Processing 251
- Information Systems 221
- Electrical and Electronic Engineering 178
- Computer Vision and Pattern Recognition 147
Countries citing papers authored by Maria Rangoussi
This map shows the geographic impact of Maria Rangoussi'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 Maria Rangoussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Rangoussi more than expected).
Fields of papers citing papers by Maria Rangoussi
This network shows the impact of papers produced by Maria Rangoussi. 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 Maria Rangoussi. The network helps show where Maria Rangoussi may publish in the future.
Co-authorship network of co-authors of Maria Rangoussi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Rangoussi. A scholar is included among the top collaborators of Maria Rangoussi 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 Maria Rangoussi. Maria Rangoussi 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 | 0 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 53 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | Bitcoin Value Analysis Based on Cross-Correlations | 18 |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | Electroacoustic Measurements for High Noise Environment Intercom Headsets | 0 |
| 15 | On the Development and Use of Sound Maps for Environmental Monitoring | 3 |
| 16 | 28 | |
| 17 | 30 | |
| 18 | 17 | |
| 19 | 0 | |
| 20 | 82 |
About Maria Rangoussi
Maria Rangoussi is a scholar working on Developmental Biology, Computer Science Applications and Signal Processing, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Online Learning and Analytics (12 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Cognitive Neuroscience (459 citations), Signal Processing (251 citations) and Human-Computer Interaction (116 citations). Maria Rangoussi has collaborated with scholars based in Greece, Türkiye and United States. Frequent co-authors include Marios Poulos, Nikolaos Alexandris, Angelos Evangelou, A. Evangelou, Dimitrios E. Koulouriotis, Taxiarchis Botsis, Savvas Vassiliadis, Gürkan Tuna, Vehbi Çağrı Güngör and Etimad Fadel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Colloid and Interface Science 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.