İbrahim Onaran

466 citations
24 papers · 373 · h-index 12

Impact in

Papers in

İbrahim Onaran

24 papers receiving 357 citations

Peers

İbrahim Onaran
Comparison fields: 5 of 68
  • Neurology 114
  • Cellular and Molecular Neuroscience 83
  • Computer Vision and Pattern Recognition 99
  • Cognitive Neuroscience 74
  • Computational Mathematics 2
Replace Maximilian Scherer with:
Maximilian Scherer Germany
Ankit A. Bhurane India
Stanislav Panev Bulgaria
Bo Song Australia
Jigang Tong China
Peter Wellig Switzerland
G. Gritsch Austria
Annraoi M. de Paor Ireland
Md. Khademul Islam Molla Bangladesh
Yalda Mohsenzadeh Canada
İbrahim Onaran relative to Maximilian Scherer Germany Maximilian Scherer's profile →
Citations per field
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Citations per year

Countries citing papers authored by İbrahim Onaran

Since Specialization
Citations

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

Fields of papers citing papers by İbrahim Onaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside İbrahim Onaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with İbrahim Onaran Line = papers co-authored together İbrahim Onaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 200739
3 200936
4 201133
5 201219
6 201116
7 200616
8 201416
9
Detection of empty hazelnuts from fully developed nuts by impact acoustics
200515
10 201315
11 200614
12 200711
13 201110
14 20159
15 20087
16 20165
17 20114
18 20083
19 20132
20 20132

About İbrahim Onaran

İbrahim Onaran is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Signal Processing, Analytical Chemistry and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Advanced Chemical Sensor Technologies (5 papers), Blind Source Separation Techniques (4 papers), Neuroscience and Neural Engineering (4 papers), Neurological disorders and treatments (3 papers), Neural dynamics and brain function (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Neurology (114 citations), Cellular and Molecular Neuroscience (83 citations), Computer Vision and Pattern Recognition (99 citations), Cognitive Neuroscience (74 citations) and Computational Mathematics (2 citations). İbrahim Onaran has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Nuri F. Ince, A. Enis Çetin, Aviva Abosch, David Lanctin, Lynn E. Eberly, Behçet Uğur Töreyın, Yasemin Yardımcı, Berkan Dülek, Ilknur Telkes and Thomas C. Pearson. Their work appears in journals such as Transactions of the ASABE, Neurosurgery, IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Letters and Biomedical Signal Processing and Control.

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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