Aleksandr Diment
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
Papers in
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- Speech and Audio Processing 10
- Music and Audio Processing 9
- Blind Source Separation Techniques 1
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- Speech Recognition and Synthesis 6
- Co-authors
- Tuomas Virtanen (11 shared papers)Toni Heittola (4 shared papers)Benjamin Elizalde (2 shared papers)Annamaria Mesaros (2 shared papers)Emmanuel Vincent (2 shared papers)Bhiksha Raj (1 shared paper)Stefano Squartini (1 shared paper)Giambattista Parascandolo (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Speech Communication (1 paper)2022 30th European Signal Processing Conference (EUSIPCO) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Università Politecnica delle Marche (Università Politecnica delle Marche) (1 paper)
In The Last Decade
Aleksandr Diment
10 papers receiving 190 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 170
- Developmental Biology 22
- Computer Vision and Pattern Recognition 60
- Music 9
- Artificial Intelligence 67
Countries citing papers authored by Aleksandr Diment
This map shows the geographic impact of Aleksandr Diment'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 Aleksandr Diment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandr Diment more than expected).
Fields of papers citing papers by Aleksandr Diment
This network shows the impact of papers produced by Aleksandr Diment. 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 Aleksandr Diment. The network helps show where Aleksandr Diment may publish in the future.
Co-authors
The 12 scholars most cited alongside Aleksandr Diment, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2017 | 55 | |
| 3 | Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016) | 2016 | 25 |
| 4 | 2017 | 12 | |
| 5 | 2013 | 10 | |
| 6 | 2019 | 7 | |
| 7 | 2015 | 6 | |
| 8 | 2015 | 3 | |
| 9 | 2015 | 3 | |
| 10 | 2016 | 1 | |
| 11 | 2022 | 0 |
About Aleksandr Diment
Aleksandr Diment is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computational Mechanics, having authored 11 papers that have together received 196 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers), Speech Recognition and Synthesis (6 papers), Blind Source Separation Techniques (1 paper), Phonetics and Phonology Research (1 paper), Hearing Loss and Rehabilitation (1 paper), Music Technology and Sound Studies (1 paper) and Digital Media Forensic Detection (1 paper). The work is most often cited by research in Signal Processing (170 citations), Developmental Biology (22 citations), Computer Vision and Pattern Recognition (60 citations), Music (9 citations) and Artificial Intelligence (67 citations). Aleksandr Diment has collaborated with scholars based in Finland, Italy and France. Frequent co-authors include Tuomas Virtanen, Toni Heittola, Benjamin Elizalde, Annamaria Mesaros, Emmanuel Vincent, Bhiksha Raj, Stefano Squartini, Giambattista Parascandolo, Emmanouil Benetos and Emre Çakır. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, 2022 30th European Signal Processing Conference (EUSIPCO), Zenodo (CERN European Organization for Nuclear Research) and Università Politecnica delle Marche (Università Politecnica delle Marche).
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.