Mohamed Sordo
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Information Systems top 10%
- Co-authors
- Cyril LaurierXavier SerraPerfecto HerreraÒscar CelmaJoan SerràFabien GouyonSergio OramasLuis Espinosa-Anke
- Topics
- Music and Audio Processing (31 papers)Music Technology and Sound Studies (19 papers)Diverse Musicological Studies (8 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Mohamed Sordo
30 papers receiving 355 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 289
- Computer Vision and Pattern Recognition 220
- Artificial Intelligence 113
- Cognitive Neuroscience 90
- Information Systems 50
Countries citing papers authored by Mohamed Sordo
This map shows the geographic impact of Mohamed Sordo'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 Mohamed Sordo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Sordo more than expected).
Fields of papers citing papers by Mohamed Sordo
This network shows the impact of papers produced by Mohamed Sordo. 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 Mohamed Sordo. The network helps show where Mohamed Sordo may publish in the future.
Co-authorship network of co-authors of Mohamed Sordo
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Sordo. A scholar is included among the top collaborators of Mohamed Sordo 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 Mohamed Sordo. Mohamed Sordo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ELMD: an automatically generated entity linking gold standard dataset in the music domain | 13 |
| 2 | 21 | |
| 3 | Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries | 3 |
| 4 | 5 | |
| 5 | Dunya: a system for browsing audio music collections exploiting cultural context | 21 |
| 6 | 8 | |
| 7 | 35 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | MIREX 2011 AUDIO TAG CLASSIFICATION USING WEIGHTED-VOTE NEAREST NEIGHBOR CLASSIFICATION | 3 |
| 12 | A Method for Obtaining Semantic Facets of Music Tags | 6 |
| 13 | Rocking around the clock eight days a week: an exploration of temporal patterns of music listening | 10 |
| 14 | QueryBag: Using Different Sources For Querying Large Music Collections | 2 |
| 15 | 2 | |
| 16 | Mood Cloud 2.0: Music Mood Browsing based on Social Networks | 6 |
| 17 | 64 | |
| 18 | 54 | |
| 19 | 20 | |
| 20 | 1 |
About Mohamed Sordo
Mohamed Sordo is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 385 indexed citations. Recurring topics across this work include Music and Audio Processing (31 papers), Music Technology and Sound Studies (19 papers) and Diverse Musicological Studies (8 papers). The work is most often cited by research in Signal Processing (289 citations), Music (48 citations) and Computer Vision and Pattern Recognition (220 citations). Mohamed Sordo has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Cyril Laurier, Xavier Serra, Perfecto Herrera, Òscar Celma, Joan Serrà, Fabien Gouyon, Sergio Oramas, Luis Espinosa-Anke, Claudiu S. Firan and Raluca Paiu. Their work appears in journals such as Language Resources and Evaluation, Data & Knowledge Engineering and Computer Music Journal.
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.