Mübeccel Demırekler

98 total papers · 863 total citations
67 papers, 614 citations indexed

About

Mübeccel Demırekler is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mübeccel Demırekler has authored 67 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 28 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mübeccel Demırekler's work include Speech and Audio Processing (23 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers) and Speech Recognition and Synthesis (21 papers). Mübeccel Demırekler is often cited by papers focused on Speech and Audio Processing (23 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers) and Speech Recognition and Synthesis (21 papers). Mübeccel Demırekler collaborates with scholars based in Türkiye, Cyprus and United States. Mübeccel Demırekler's co-authors include Umut Orguner, Hakan Altınçay, İbrahim Yücel Özbek, Özgül Salor, Bryan Pellom, Afşar Saranlı, Tolga Çiloğlu, Ömer Melih Gül, Kadri Hacıoğlu and Hayri Ertan and has published in prestigious journals such as Automatica, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Mübeccel Demırekler

63 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mübeccel Demırekler	374	195	147	133	81	67	614
Teng Zhang	213 0.6×	85 0.4×	87 0.6×	91 0.7×	79 1.0×	47	501
Guoqiang Zhang	221 0.6×	141 0.7×	42 0.3×	137 1.0×	111 1.4×	73	665
Anas Abu Taleb	158 0.4×	425 2.2×	83 0.6×	116 0.9×	166 2.0×	54	687
Ning Wang	214 0.6×	118 0.6×	52 0.4×	177 1.3×	257 3.2×	80	653
Chan-Cheng Liu	349 0.9×	67 0.3×	117 0.8×	52 0.4×	37 0.5×	33	646
S. Tantaratana	124 0.3×	174 0.9×	65 0.4×	213 1.6×	253 3.1×	69	566
Éric Grivel	135 0.4×	150 0.8×	116 0.8×	111 0.8×	64 0.8×	65	516
Hong Li	368 1.0×	42 0.2×	97 0.7×	77 0.6×	89 1.1×	66	688
Yu Jiang	297 0.8×	108 0.6×	41 0.3×	186 1.4×	82 1.0×	56	563
Li Deng	236 0.6×	169 0.9×	264 1.8×	55 0.4×	127 1.6×	42	547

Countries citing papers authored by Mübeccel Demırekler

Since Specialization

Citations

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

Fields of papers citing papers by Mübeccel Demırekler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mübeccel Demırekler

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

All Works

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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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