Efthymios Tzinis

810 citations
19 papers · 274 · h-index 10

Impact in

Papers in

    • Speech and Audio Processing 16
    • Music and Audio Processing 13
    • Blind Source Separation Techniques 2
    • Speech Recognition and Synthesis 10
    • Neural Networks and Applications 1

Efthymios Tzinis

19 papers receiving 254 citations

Peers

Efthymios Tzinis
Comparison fields: 5 of 61
  • Signal Processing 200
  • Artificial Intelligence 147
  • Experimental and Cognitive Psychology 55
  • Pharmacy 7
  • Cognitive Neuroscience 27
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Citations per year

Countries citing papers authored by Efthymios Tzinis

Since Specialization
Citations

This map shows the geographic impact of Efthymios Tzinis'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 Efthymios Tzinis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efthymios Tzinis more than expected).

Fields of papers citing papers by Efthymios Tzinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Efthymios Tzinis. 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 Efthymios Tzinis. The network helps show where Efthymios Tzinis may publish in the future.

Co-authors

The 25 scholars most cited alongside Efthymios Tzinis, 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 Efthymios Tzinis Line = papers co-authored together Efthymios Tzinis links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201751
2 202036
3 202236
4 201926
5 201821
6 201718
7
Unsupervised Sound Separation Using Mixtures of Mixtures
202015
8 202213
9 202212
10 202210
11 20199
12
Unsupervised Sound Separation Using Mixture Invariant Training
20208
13 20204
14 20234
15 20223
16 20233
17
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
20212
18 20212
19
Improving Universal Sound Separation Using Sound Classification Presentation
20201

About Efthymios Tzinis

Efthymios Tzinis is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Biomedical Engineering, having authored 19 papers that have together received 274 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Music and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers), Acoustic Wave Phenomena Research (2 papers), Blind Source Separation Techniques (2 papers), Emotion and Mood Recognition (2 papers), Autism Spectrum Disorder Research (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Signal Processing (200 citations), Artificial Intelligence (147 citations), Experimental and Cognitive Psychology (55 citations), Pharmacy (7 citations) and Cognitive Neuroscience (27 citations). Efthymios Tzinis has collaborated with scholars based in United States, Greece and Israel. Frequent co-authors include Paris Smaragdis, Buye Xu, Yossi Adi, Vamsi Krishna Ithapu, Anurag Kumar, Alexandros Potamianos, Scott Wisdom, Hakan Erdoğan, Gordon Wichern and John R. Hershey. Their work appears in journals such as IEEE Signal Processing Letters, Frontiers in Genetics, IEEE Journal of Selected Topics in Signal Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

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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