M.C. Doǧan

585 total citations
15 papers, 437 citations indexed

About

M.C. Doǧan is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, M.C. Doǧan has authored 15 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 2 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in M.C. Doǧan's work include Speech and Audio Processing (12 papers), Direction-of-Arrival Estimation Techniques (11 papers) and Blind Source Separation Techniques (9 papers). M.C. Doǧan is often cited by papers focused on Speech and Audio Processing (12 papers), Direction-of-Arrival Estimation Techniques (11 papers) and Blind Source Separation Techniques (9 papers). M.C. Doǧan collaborates with scholars based in United States and Türkiye. M.C. Doǧan's co-authors include Jerry M. Mendel and Levent Genç and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and JUCS - Journal of Universal Computer Science.

In The Last Decade

M.C. Doǧan

12 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Doǧan United States 7 389 116 91 84 44 15 437
N. Yuen United States 6 308 0.8× 106 0.9× 114 1.3× 48 0.6× 20 0.5× 10 340
Rémy Boyer France 11 204 0.5× 107 0.9× 82 0.9× 52 0.6× 17 0.4× 29 283
F. Li United States 9 294 0.8× 100 0.9× 196 2.2× 86 1.0× 28 0.6× 18 442
Jens Steinwandt Germany 11 291 0.7× 125 1.1× 132 1.5× 81 1.0× 24 0.5× 29 357
Ruiyan Du China 8 195 0.5× 120 1.0× 156 1.7× 75 0.9× 20 0.5× 83 349
Nizar Tayem United States 11 555 1.4× 281 2.4× 207 2.3× 92 1.1× 47 1.1× 60 638
E.G. Larsson Sweden 5 293 0.8× 158 1.4× 121 1.3× 45 0.5× 17 0.4× 6 355
Rémy Boyer France 10 153 0.4× 171 1.5× 76 0.8× 59 0.7× 13 0.3× 25 309
Lingyun Xu China 5 454 1.2× 434 3.7× 156 1.7× 55 0.7× 12 0.3× 13 602
Hang Zheng China 10 197 0.5× 159 1.4× 87 1.0× 68 0.8× 10 0.2× 23 319

Countries citing papers authored by M.C. Doǧan

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Doǧan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Doǧan. 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 M.C. Doǧan. The network helps show where M.C. Doǧan may publish in the future.

Co-authorship network of co-authors of M.C. Doǧan

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

All Works

15 of 15 papers shown
1.
Genç, Levent, et al.. (2024). Price Prediction and Determination of the Affecting Variables of the Real Estate by Using X-Means Clustering and CART Decision Trees. JUCS - Journal of Universal Computer Science. 30(4). 531–560.
2.
Doǧan, M.C., et al.. (2022). A C4.5 – CART DECISION TREE MODEL FOR REAL ESTATE PRICE PREDICTION AND THE ANALYSIS OF THE UNDERLYING FEATURES. Konya Journal of Engineering Sciences. 10(1). 147–161. 5 indexed citations
3.
4.
Doǧan, M.C. & Jerry M. Mendel. (2003). Cumulant-based blind optimum beamforming. 209–213. 1 indexed citations
5.
Doǧan, M.C. & Jerry M. Mendel. (2002). Antenna array noise reconditioning by cumulants. 220–224. 1 indexed citations
6.
Doǧan, M.C. & Jerry M. Mendel. (2002). Joint array calibration and direction-finding with virtual-ESPRIT algorithm. 146–150. 6 indexed citations
7.
Doǧan, M.C. & Jerry M. Mendel. (2002). Interpretation of cumulants for array processing. 1260–1264.
8.
Doǧan, M.C., et al.. (2002). Applications of cumulants to array processing: direction-finding in coherent signal environment. 1. 633–637. 6 indexed citations
9.
Mendel, Jerry M., et al.. (1997). Applications of cumulants to array processing. IV. Direction finding in coherent signals case. IEEE Transactions on Signal Processing. 45(9). 2265–2276. 74 indexed citations
10.
Doǧan, M.C. & Jerry M. Mendel. (1995). Applications of cumulants to array processing. II. Non-Gaussian noise suppression. IEEE Transactions on Signal Processing. 43(7). 1663–1676. 30 indexed citations
11.
Doǧan, M.C. & Jerry M. Mendel. (1995). Applications of cumulants to array processing .I. Aperture extension and array calibration. IEEE Transactions on Signal Processing. 43(5). 1200–1216. 255 indexed citations
12.
Mendel, Jerry M. & M.C. Doǧan. (1994). Higher-Order Statistics Applied to Some Array Signal Processing Problems. IFAC Proceedings Volumes. 27(8). 101–106. 1 indexed citations
13.
Doǧan, M.C. & Jerry M. Mendel. (1994). Cumulant-based blind optimum beamforming. IEEE Transactions on Aerospace and Electronic Systems. 30(3). 722–741. 43 indexed citations
14.
Doǧan, M.C. & Jerry M. Mendel. (1993). Single sensor detection and classification of multiple sources by higher-order spectra. IEE Proceedings F Radar and Signal Processing. 140(6). 350–350. 7 indexed citations
15.
Doǧan, M.C. & Jerry M. Mendel. (1992). Real-time robust pitch detector. 129–132 vol.1. 8 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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