Onur Dikmen

564 total citations
15 papers, 293 citations indexed

About

Onur Dikmen is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Onur Dikmen has authored 15 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 9 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Onur Dikmen's work include Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers) and Blind Source Separation Techniques (4 papers). Onur Dikmen is often cited by papers focused on Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers) and Blind Source Separation Techniques (4 papers). Onur Dikmen collaborates with scholars based in Finland, Sweden and Türkiye. Onur Dikmen's co-authors include Annamaria Mesaros, Ali Taylan Cemgil, Tuomas Virtanen, Toni Heittola, Erkki Oja, Zhirong Yang, Cédric Févotte, Xi Chen, Olcay Taner Yıldız and Sławomir Nowaczyk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Onur Dikmen

14 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Onur Dikmen Finland	10	155	107	92	25	23	15	293
Chao Lan United States	11	72 0.5×	151 1.4×	148 1.6×	26 1.0×	24 1.0×	43	325
Umut Şimşekli Türkiye	10	158 1.0×	70 0.7×	105 1.1×	14 0.6×	42 1.8×	42	319
Erhan Gökçay Türkiye	7	54 0.3×	158 1.5×	111 1.2×	24 1.0×	19 0.8×	15	292
Shengli Xie China	5	134 0.9×	83 0.8×	97 1.1×	27 1.1×	72 3.1×	6	335
Haim Schweitzer United States	9	43 0.3×	89 0.8×	126 1.4×	7 0.3×	47 2.0×	41	231
Hsi‐Chin Hsin Taiwan	10	108 0.7×	45 0.4×	169 1.8×	7 0.3×	12 0.5×	49	296
Xiaochen Lian China	8	49 0.3×	111 1.0×	196 2.1×	11 0.4×	20 0.9×	13	331
Shuang Yang China	7	59 0.4×	89 0.8×	68 0.7×	15 0.6×	6 0.3×	22	209
Qingsheng Ren China	8	34 0.2×	220 2.1×	125 1.4×	21 0.8×	6 0.3×	20	305
Adrian Corduneanu United States	7	61 0.4×	230 2.1×	62 0.7×	8 0.3×	8 0.3×	10	322

Countries citing papers authored by Onur Dikmen

Since Specialization

Citations

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

Fields of papers citing papers by Onur Dikmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onur Dikmen

This figure shows the co-authorship network connecting the top 25 collaborators of Onur Dikmen. A scholar is included among the top collaborators of Onur Dikmen 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 Onur Dikmen. Onur Dikmen 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:

15 of 15 papers shown

Nowaczyk, Sławomir, et al.. (2024). Context discovery for anomaly detection. International Journal of Data Science and Analytics. 19(1). 99–113.

Nowaczyk, Sławomir, et al.. (2022). Wisdom of the contexts: active ensemble learning for contextual anomaly detection. Data Mining and Knowledge Discovery. 36(6). 2410–2458. 9 indexed citations

Nowaczyk, Sławomir, et al.. (2020). No free lunch but a cheaper supper: A general framework for streaming anomaly detection. Expert Systems with Applications. 155. 113453–113453. 18 indexed citations

Dikmen, Onur, et al.. (2019). Differentially Private Markov Chain Monte Carlo. arXiv (Cornell University). 32. 4113–4123. 4 indexed citations

Mesaros, Annamaria, Toni Heittola, Onur Dikmen, & Tuomas Virtanen. (2015). Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations. Trepo - Institutional Repository of Tampere University. 151–155. 66 indexed citations

Dikmen, Onur, et al.. (2014). Consistent inference of a general model using the pseudolikelihood method. Physical Review E. 90(1). 10101–10101. 8 indexed citations

Dikmen, Onur, Zhirong Yang, & Erkki Oja. (2014). Learning the Information Divergence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(7). 1442–1454. 15 indexed citations

Dikmen, Onur & Annamaria Mesaros. (2013). Sound event detection using non-negative dictionaries learned from annotated overlapping events. 1–4. 28 indexed citations

Yang, Zhirong, et al.. (2012). Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. Neural Information Processing Systems. 25. 1079–1087. 48 indexed citations

10.

Dikmen, Onur & Cédric Févotte. (2012). Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model. IEEE Transactions on Signal Processing. 60(10). 5163–5175. 22 indexed citations

11.

Dikmen, Onur & Cédric Févotte. (2011). Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation. Neural Information Processing Systems. 24. 2267–2275. 1 indexed citations

12.

Dikmen, Onur & Ali Taylan Cemgil. (2009). Unsupervised single-channel source separation using bayesian NMF. 401. 93–96. 17 indexed citations

13.

Dikmen, Onur & Ali Taylan Cemgil. (2009). Gamma Markov Random Fields for Audio Source Modeling. IEEE Transactions on Audio Speech and Language Processing. 18(3). 589–601. 25 indexed citations

14.

Yıldız, Olcay Taner & Onur Dikmen. (2007). Parallel univariate decision trees. Pattern Recognition Letters. 28(7). 825–832. 20 indexed citations

15.

Cemgil, Ali Taylan, et al.. (2007). Prior Structures for Time-Frequency Energy Distributions. 151–154. 12 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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