Mübeccel Demırekler
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Umut OrgunerHakan Altınçayİbrahim Yücel ÖzbekÖzgül SalorAfşar SaranlıBryan PellomTolga ÇiloğluÖmer Melih Gül
- Topics
- Speech and Audio Processing (23 papers)Target Tracking and Data Fusion in Sensor Networks (23 papers)Speech Recognition and Synthesis (21 papers)
- Partner nations
- TürkiyeCyprusUnited States
In The Last Decade
Mübeccel Demırekler
63 papers receiving 569 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 374
- Signal Processing 194
- Control and Systems Engineering 148
- Electrical and Electronic Engineering 133
- Computer Networks and Communications 81
Countries citing papers authored by Mübeccel Demırekler
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | On the solution of data association problem using rollout algorithms | 0 |
| 4 | Chernoff fusion of Gaussian mixtures for distributed maneuvering target tracking | 4 |
| 5 | 1 | |
| 6 | Approximate Chernoff fusion of Gaussian mixtures using sigma-points | 10 |
| 7 | A Multi-Dimensional Hough Transform Algorithm based on Unscented Transform as a Track-Before-Detect method | 5 |
| 8 | 0 | |
| 9 | ML vs. Map parameter estimation of linear dynamic systems for acoustic-to-articulatory inversion: A comparative study | 4 |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 12 | |
| 20 | 2 |
About Mübeccel Demırekler
Mübeccel Demırekler is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 614 indexed citations. Recurring topics across this 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). The work is most often cited by research in Signal Processing (194 citations), Artificial Intelligence (374 citations) and Control and Systems Engineering (148 citations). Mübeccel Demırekler has collaborated with scholars based in Türkiye, Cyprus and United States. Frequent co-authors include Umut Orguner, Hakan Altınçay, İbrahim Yücel Özbek, Özgül Salor, Afşar Saranlı, Bryan Pellom, Tolga Çiloğlu, Ömer Melih Gül, M.E. Sezer and Hayri Ertan. Their work appears in journals such as Automatica, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.