Sami Arıca

455 total citations
27 papers, 337 citations indexed

About

Sami Arıca is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sami Arıca has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Sami Arıca's work include EEG and Brain-Computer Interfaces (15 papers), Blind Source Separation Techniques (9 papers) and Neural dynamics and brain function (8 papers). Sami Arıca is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Blind Source Separation Techniques (9 papers) and Neural dynamics and brain function (8 papers). Sami Arıca collaborates with scholars based in Türkiye and United States. Sami Arıca's co-authors include Ahmed H. Tewfik, Nuri F. Ince, Giuseppe Pellizzer, Rahul Gupta, James Ashe, Gürcan Erbay, Zafer Koç, Cem Önal, Elif Karadeli and Ozan Cem Güler and has published in prestigious journals such as PLoS ONE, Computers in Biology and Medicine and Journal of Neural Engineering.

In The Last Decade

Sami Arıca

26 papers receiving 327 citations

Peers

Sami Arıca
Yong Jiao China
Sami Arıca
Citations per year, relative to Sami Arıca Sami Arıca (= 1×) peers Yong Jiao

Countries citing papers authored by Sami Arıca

Since Specialization
Citations

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

Fields of papers citing papers by Sami Arıca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Arıca

This figure shows the co-authorship network connecting the top 25 collaborators of Sami Arıca. A scholar is included among the top collaborators of Sami Arıca 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 Sami Arıca. Sami Arıca 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
1.
Arıca, Sami, et al.. (2025). Application of Convolutional Neural Networks for Watermelon Detection in UAV Aerial Images: A Case Study. Turkish Journal of Engineering. 9(1). 1–11. 1 indexed citations
2.
Arıca, Sami, et al.. (2023). Categorization of Breast Carcinoma Histopathology Images by Utilizing Region-Based Convolutional Neural Networks. Arabian Journal for Science and Engineering. 49(5). 6695–6705. 5 indexed citations
3.
Arıca, Sami, et al.. (2020). On Visualization and Quantification of Lesion Margin in CT Liver Images. 1–4. 1 indexed citations
4.
Arıca, Sami, et al.. (2018). Familiar/unfamiliar face classification from EEG signals by utilizing pairwise distant channels and distinctive time interval. Signal Image and Video Processing. 12(6). 1181–1188. 10 indexed citations
6.
Arıca, Sami, et al.. (2017). On The Classification of Hand Movements with Electromyogram Signals Obtained From Arm Muscles for Controlling Hand Prosthesis. DergiPark (Istanbul University). 17(2). 3425–3432. 1 indexed citations
7.
Arıca, Sami, et al.. (2017). Classification of EEG signals of familiar and unfamiliar face stimuli exploiting most discriminative channels. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25. 3342–3354. 8 indexed citations
8.
11.
Ince, Nuri F., Rahul Gupta, Sami Arıca, et al.. (2010). High Accuracy Decoding of Movement Target Direction in Non-Human Primates Based on Common Spatial Patterns of Local Field Potentials. PLoS ONE. 5(12). e14384–e14384. 59 indexed citations
12.
Ince, Nuri F., Rahul Gupta, Sami Arıca, et al.. (2009). Movement direction decoding with spatial patterns of local field potentials. 79. 291–294. 10 indexed citations
13.
Ince, Nuri F., et al.. (2009). Adapting subject specific motor imagery EEG patterns in space–time–frequency for a brain computer interface. Biomedical Signal Processing and Control. 4(3). 236–246. 62 indexed citations
15.
Ince, Nuri F., Ahmed H. Tewfik, & Sami Arıca. (2006). Extraction subject-specific motor imagery time–frequency patterns for single trial EEG classification. Computers in Biology and Medicine. 37(4). 499–508. 34 indexed citations
16.
Ince, Nuri F., Ahmed H. Tewfik, & Sami Arıca. (2006). A Space-time-Frequency Analysis Approach for the Classification Motor Imagery EEG Recordings in a Brain Computer Interface Task. PubMed. 115. 2581–2584. 3 indexed citations
17.
Arıca, Sami, et al.. (2006). Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time–frequency tilings. Journal of Neural Engineering. 3(3). 235–244. 61 indexed citations
18.
Arıca, Sami & Nuri F. Ince. (2006). Motor Imagery Based Brain Computer Interface With Subject Adapted Time-Frequency Tiling. Zenodo (CERN European Organization for Nuclear Research). 1–5. 3 indexed citations
19.
Ince, Nuri F. & Sami Arıca. (2005). Analysis and visualization of ERD and ERS with adapted local cosine transform. PubMed. 3. 302–304. 7 indexed citations
20.
Ince, Nuri F., et al.. (2005). Analysis and Visualization of Movement related EEG activities with Local Discriminant Bases. 6. 583–586. 8 indexed citations

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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