Aleksandr Diment

734 citations
11 papers · 199 · h-index 7

Impact in

Papers in

Journals
Speech Communication (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Università Politecnica delle Marche (Università Politecnica delle Marche) (1 paper)Trepo - Institutional Repository of Tampere University (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)

In The Last Decade

Aleksandr Diment

10 papers receiving 193 citations

Peers

Aleksandr Diment
Comparison fields: 5 of 39
  • Signal Processing 172
  • Developmental Biology 23
  • Computer Vision and Pattern Recognition 61
  • Music 9
  • Artificial Intelligence 68
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Jonathan Dennis Singapore
Honglie Chen China
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Nikša Jakovljević Serbia
Ho-Hsiang Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Aleksandr Diment

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aleksandr Diment Line = papers co-authored together Aleksandr Diment links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201977
2 201755
3
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016)
201625
4 201712
5 201310
6 20197
7 20156
8 20153
9 20153
10 20161
11 20220

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 199 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), Advanced Adaptive Filtering Techniques (1 paper), Blind Source Separation Techniques (1 paper), Digital Media Forensic Detection (1 paper), Phonetics and Phonology Research (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Signal Processing (172 citations), Developmental Biology (23 citations), Computer Vision and Pattern Recognition (61 citations), Music (9 citations) and Artificial Intelligence (68 citations). Aleksandr Diment has collaborated with scholars based in Finland, Italy and United States. Frequent co-authors include Tuomas Virtanen, Toni Heittola, Annamaria Mesaros, Bhiksha Raj, Stefano Squartini, Giambattista Parascandolo, Emmanuel Vincent, Benjamin Elizalde, Emmanouil Benetos and Emre Çakır. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, Università Politecnica delle Marche (Università Politecnica delle Marche), Trepo - Institutional Repository of Tampere University and Zenodo (CERN European Organization for Nuclear Research).

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.

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