Umut Orhan

1.7k citations
52 papers · 1.2k · 1 hit paper · h-index 15

Impact in

Papers in

Umut Orhan

50 papers receiving 1.1k citations

Umut Orhan's Hit Papers

EEG signals classification using the K-means clustering and a multilayer perceptron neural network model 2011 · 505 citations
5050+5+10Years since publication100200300400500

Peers

Umut Orhan
Comparison fields: 5 of 116
  • Cognitive Neuroscience 815
  • Signal Processing 306
  • Human-Computer Interaction 141
  • Occupational Therapy 42
  • Cellular and Molecular Neuroscience 171
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Umut Orhan relative to Hubert Cecotti United States Hubert Cecotti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Umut Orhan

Since Specialization
Citations

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

Fields of papers citing papers by Umut Orhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Umut Orhan, 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 Umut Orhan Line = papers co-authored together Umut Orhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
Hit paper breakdown →
2011505
2 201289
3 201473
4 201360
5 201844
6 202129
7 201327
8 201527
9 201326
10 201126
11 201523
12 201120
13 201120
14 202217
15 201216
16 201114
17 201412
18
RSVP Keyboard TM : An EEG Based BCI Typing System with Context Information Fusion
201312
19 201910
20
An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling
20119

About Umut Orhan

Umut Orhan is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Neural dynamics and brain function (10 papers), Blind Source Separation Techniques (9 papers), Gaze Tracking and Assistive Technology (9 papers), Natural Language Processing Techniques (8 papers), Neuroscience and Neural Engineering (8 papers), Topic Modeling (8 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (815 citations), Signal Processing (306 citations), Human-Computer Interaction (141 citations), Occupational Therapy (42 citations) and Cellular and Molecular Neuroscience (171 citations). Umut Orhan has collaborated with scholars based in Türkiye, United States and Mexico. Frequent co-authors include Mahmut Hekim, Mahmut Özer, Deniz Erdoğmuş, Melanie Fried‐Oken, Barry Oken, Brian Roark, Kenneth E. Hild, Murat Akçakaya, Hooman Nezamfar and Betts Peters. Their work appears in journals such as Expert Systems with Applications, Arabian Journal for Science and Engineering, PeerJ Computer Science, Neuropsychologia and Cortex.

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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