Zümray Dokur

1.7k citations
58 papers · 1.3k indexed · h-index 19
Topics
EEG and Brain-Computer Interfaces (15 papers)Blind Source Separation Techniques (14 papers)Neural Networks and Applications (14 papers)
Partner nations
TürkiyeUnited States

In The Last Decade

Zümray Dokur

56 papers receiving 1.2k citations

Peers

Zümray Dokur
Comparison fields: 5 of 97
  • Cognitive Neuroscience 444
  • Cardiology and Cardiovascular Medicine 425
  • Pulmonary and Respiratory Medicine 347
  • Signal Processing 332
  • Computer Vision and Pattern Recognition 275
Replace Samit Ari with:
Samit Ari India
Yakup Kutlu Türkiye
Türker Tuncer Türkiye
Lim Choo Min Singapore
Fatih Demir Türkiye
J. S. Sahambi India
Kuang Chua Chua Singapore
Udit Satija India
Ahmad Ayatollahi Iran
Ramesh Kumar Sunkaria India
Zümray Dokur relative to Samit Ari India Samit Ari's profile →
Citations per field
00.5×1.5×
Samit Ari · 1×
Citations per year

Countries citing papers authored by Zümray Dokur

Since Specialization
Citations

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

Fields of papers citing papers by Zümray Dokur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zümray Dokur

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 3
4 3
5 32
6 15
7 3
8
Protein Fold Classification using Kohonen's Self-Organizing Map.
2
9 10
10 17
11 10
12 9
13 19
14 3
15 6
16 1
17 8
18 5
19 40
20 172

About Zümray Dokur

Zümray Dokur is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Blind Source Separation Techniques (14 papers) and Neural Networks and Applications (14 papers). The work is most often cited by research in Signal Processing (332 citations), Cognitive Neuroscience (444 citations) and Cardiology and Cardiovascular Medicine (425 citations). Zümray Dokur has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Tamer Ölmez, Zafer İşcan, Tamer Demıralp, E. Yazgan, Okan K. Ersoy, Mehmet Korürek, Mehmet Sezgin, Mustafa Çetın, Nerses Bebek and Adil Deniz Duru. Their work appears in journals such as Expert Systems with Applications, Sensors and Applied Soft Computing.

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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