Emre Çakır

1.3k total citations · 1 hit paper
11 papers, 729 citations indexed

About

Emre Çakır is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Emre Çakır has authored 11 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Emre Çakır's work include Speech and Audio Processing (11 papers), Music and Audio Processing (10 papers) and Music Technology and Sound Studies (4 papers). Emre Çakır is often cited by papers focused on Speech and Audio Processing (11 papers), Music and Audio Processing (10 papers) and Music Technology and Sound Studies (4 papers). Emre Çakır collaborates with scholars based in Finland, China and Japan. Emre Çakır's co-authors include Tuomas Virtanen, Toni Heittola, Heikki Huttunen, Giambattista Parascandolo, Pasi Pertilä, Konstantinos Drossos, Sharath Adavanne, Aleksandr Diment, Archontis Politis and Antti Eronen and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society and Trepo - Institutional Repository of Tampere University.

In The Last Decade

Emre Çakır

11 papers receiving 699 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

2017 365 citations Emre Çakır, Giambattista Parascandolo et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Emre Çakır Finland	7	622	268	198	100	61	11	729
Turab Iqbal United Kingdom	9	626 1.0×	321 1.2×	275 1.4×	63 0.6×	54 0.9×	11	832
Giambattista Parascandolo Finland	7	444 0.7×	200 0.7×	187 0.9×	84 0.8×	43 0.7×	9	580
Sharath Adavanne Finland	5	473 0.8×	109 0.4×	155 0.8×	94 0.9×	68 1.1×	10	539
Christopher Jacoby Switzerland	3	656 1.1×	240 0.9×	180 0.9×	150 1.5×	79 1.3×	4	787
Robert C. Maher United States	11	458 0.7×	274 1.0×	99 0.5×	78 0.8×	59 1.0×	59	654
Ben Milner United Kingdom	19	875 1.4×	289 1.1×	531 2.7×	32 0.3×	74 1.2×	84	1.0k
Naoya Takahashi Japan	9	492 0.8×	182 0.7×	253 1.3×	33 0.3×	37 0.6×	28	620
Dimitrios Giannoulis United Kingdom	10	876 1.4×	445 1.7×	214 1.1×	108 1.1×	119 2.0×	18	999
Yuxuan Wang United States	15	472 0.8×	227 0.8×	309 1.6×	21 0.2×	135 2.2×	32	755
Vincent Lostanlen France	11	250 0.4×	82 0.3×	51 0.3×	142 1.4×	55 0.9×	35	401

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-authorship network of co-authors of Emre Çakır

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Çakır. A scholar is included among the top collaborators of Emre Çakır 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 Emre Çakır. Emre Çakır is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Pertilä, Pasi, et al.. (2021). Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments. 2021 29th European Signal Processing Conference (EUSIPCO). 406–410. 4 indexed citations

2.

Çakır, Emre. (2019). Deep Neural Networks for Sound Event Detection. Tampere University Institutional Repository (Tampere University). 2 indexed citations

3.

Çakır, Emre & Tuomas Virtanen. (2018). Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders. Journal of the Audio Engineering Society. 4 indexed citations

4.

Çakır, Emre & Tuomas Virtanen. (2018). End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input. 1–7. 20 indexed citations

5.

Pertilä, Pasi & Emre Çakır. (2017). Robust direction estimation with convolutional neural networks based steered response power. Trepo - Institutional Repository of Tampere University. 6125–6129. 49 indexed citations

6.

Çakır, Emre, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, & Tuomas Virtanen. (2017). Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1291–1303. 365 indexed citations breakdown →

7.

Çakır, Emre, Sharath Adavanne, Giambattista Parascandolo, Konstantinos Drossos, & Tuomas Virtanen. (2017). Convolutional recurrent neural networks for bird audio detection. 1744–1748. 66 indexed citations

8.

Çakır, Emre, et al.. (2016). Filterbank learning for deep neural network based polyphonic sound event detection. Trepo - Institutional Repository of Tampere University. 3399–3406. 25 indexed citations

9.

Çakır, Emre, Toni Heittola, Heikki Huttunen, & Tuomas Virtanen. (2015). Polyphonic sound event detection using multi label deep neural networks. 1–7. 169 indexed citations

10.

Diment, Aleksandr, Emre Çakır, Toni Heittola, & Tuomas Virtanen. (2015). Automatic recognition of environmental sound events using all-pole group delay features. 729–733. 6 indexed citations

11.

Çakır, Emre, Toni Heittola, Heikki Huttunen, & Tuomas Virtanen. (2015). Multi-label vs. combined single-label sound event detection with deep neural networks. 2551–2555. 19 indexed citations

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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