Emre Çakır

1.3k citations
11 papers · 746 · 1 hit paper · h-index 7

Impact in

Papers in

Emre Çakır

11 papers receiving 715 citations

Emre Çakır's Hit Papers

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection 2017 · 373 citations
3730+3+6Years since publication100200300

Peers

Emre Çakır
Comparison fields: 5 of 63
  • Signal Processing 632
  • Developmental Biology 102
  • Computer Vision and Pattern Recognition 269
  • Artificial Intelligence 203
  • Speech and Hearing 21
Replace Giambattista Parascandolo with:
Giambattista Parascandolo Finland
Turab Iqbal United Kingdom
Christopher Jacoby Switzerland
Ben Milner United Kingdom
Dimitrios Giannoulis Greece
Naoya Takahashi Japan
Robert C. Maher United States
Archontis Politis Finland
Antti Eronen Finland
Sharath Adavanne Finland
Emre Çakır relative to Giambattista Parascandolo Finland Giambattista Parascandolo's profile →
Citations per field
00.5×3.5×
Giambattista Parascandolo · 1×
Citations per year

Countries citing papers authored by Emre Çakır

Since Specialization
Citations

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

Fields of papers citing papers by Emre Çakır

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Emre Çakır, 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 Emre Çakır Line = papers co-authored together Emre Çakır links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Hit paper breakdown →
2017373
2 2015169
3 201768
4 201751
5 201626
6 201821
7 201521
8 20156
9 20215
10
Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders
20183
11
Deep Neural Networks for Sound Event Detection
20193

About Emre Çakır

Emre Çakır is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Oceanography and Developmental Biology, having authored 11 papers that have together received 746 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Music and Audio Processing (10 papers), Speech Recognition and Synthesis (4 papers), Music Technology and Sound Studies (4 papers), Underwater Acoustics Research (1 paper), Advanced Adaptive Filtering Techniques (1 paper), Animal Vocal Communication and Behavior (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Signal Processing (632 citations), Developmental Biology (102 citations), Computer Vision and Pattern Recognition (269 citations), Artificial Intelligence (203 citations) and Speech and Hearing (21 citations). Emre Çakır has collaborated with scholars based in Finland, Japan and China. Frequent co-authors include Tuomas Virtanen, Toni Heittola, Heikki Huttunen, Giambattista Parascandolo, Pasi Pertilä, Sharath Adavanne, Konstantinos Drossos, Aleksandr Diment, Archontis Politis and Antti Eronen. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE/ACM Transactions on Audio Speech and Language Processing, Trepo - Institutional Repository of Tampere University, Tampere University Institutional Repository (Tampere University) and 2021 29th European Signal Processing Conference (EUSIPCO).

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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