Aladdin Ariyaeeinia
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems
- Sociology and Political Science
- Co-authors
- Nikola PavešićSamo RibaričZongji SunLi MengSue BlackChristopher MorrisonMartin LoomesReza Sotudeh
- Topics
- Speech and Audio Processing (12 papers)Music and Audio Processing (10 papers)Speech Recognition and Synthesis (10 papers)
- Journals
- Pattern Recognition LettersIEEE Transactions on Audio Speech and Language ProcessingSpeech Communication
- Partner nations
- United KingdomDenmarkSlovenia
In The Last Decade
Aladdin Ariyaeeinia
25 papers receiving 322 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 208
- Computer Vision and Pattern Recognition 200
- Artificial Intelligence 144
- Information Systems 34
- Sociology and Political Science 13
Countries citing papers authored by Aladdin Ariyaeeinia
This map shows the geographic impact of Aladdin Ariyaeeinia'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 Aladdin Ariyaeeinia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aladdin Ariyaeeinia more than expected).
Fields of papers citing papers by Aladdin Ariyaeeinia
This network shows the impact of papers produced by Aladdin Ariyaeeinia. 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 Aladdin Ariyaeeinia. The network helps show where Aladdin Ariyaeeinia may publish in the future.
Co-authorship network of co-authors of Aladdin Ariyaeeinia
This figure shows the co-authorship network connecting the top 25 collaborators of Aladdin Ariyaeeinia. A scholar is included among the top collaborators of Aladdin Ariyaeeinia 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 Aladdin Ariyaeeinia. Aladdin Ariyaeeinia 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 | 5 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | H-Semantics: A Hybrid Approach to Singing Voice Separation | 5 |
| 8 | 7 | |
| 9 | 32 | |
| 10 | 12 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | Relative effectiveness of score normalisation methods in open-set speaker identification. | 18 |
| 14 | 9 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | A PROPOSAL FOR STRUCTURED ACTIVITIES IN BIOMETRIC IDENTITY AUTHENTICATION | 1 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 2 |
About Aladdin Ariyaeeinia
Aladdin Ariyaeeinia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 25 papers that have together received 349 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Music and Audio Processing (10 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Signal Processing (208 citations), Computer Vision and Pattern Recognition (200 citations) and Artificial Intelligence (144 citations). Aladdin Ariyaeeinia has collaborated with scholars based in United Kingdom, Denmark and Slovenia. Frequent co-authors include Nikola Pavešić, Samo Ribarič, Zongji Sun, Li Meng, Sue Black, Christopher Morrison, Martin Loomes, Reza Sotudeh, Heinz Hertlein and Fawaz Waselallah Alsaade. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.
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.