Abdullah Akce

521 total citations
10 papers, 402 citations indexed

About

Abdullah Akce is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Abdullah Akce has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Electrical and Electronic Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Abdullah Akce's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers) and Advanced Memory and Neural Computing (4 papers). Abdullah Akce is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers) and Advanced Memory and Neural Computing (4 papers). Abdullah Akce collaborates with scholars based in United States, Mexico and South Korea. Abdullah Akce's co-authors include Timothy Bretl, James J. S. Norton, Huanyu Cheng, Oh‐Jin Kwon, Xiaoqi Wang, Ungyu Paik, Yonggang Huang, John A. Rogers, Jae‐Woong Jeong and Woon‐Hong Yeo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Robotics and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Abdullah Akce

10 papers receiving 396 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abdullah Akce United States 5 231 224 135 85 75 10 402
Ilyoun Na United States 3 159 0.7× 219 1.0× 101 0.7× 64 0.8× 75 1.0× 6 338
Yong Ho Kwon South Korea 5 194 0.8× 340 1.5× 114 0.8× 125 1.5× 120 1.6× 8 485
Sung-Phil Kim South Korea 9 341 1.5× 275 1.2× 89 0.7× 124 1.5× 61 0.8× 16 534
Lang Yin China 7 110 0.5× 247 1.1× 54 0.4× 57 0.7× 76 1.0× 11 325
Amin Mahnam Iran 15 227 1.0× 203 0.9× 140 1.0× 111 1.3× 49 0.7× 37 492
Yunzhao Bai China 8 159 0.7× 416 1.9× 64 0.5× 117 1.4× 131 1.7× 12 505
Stefan Griebel Germany 7 228 1.0× 107 0.5× 179 1.3× 46 0.5× 39 0.5× 22 310
Mingxing Zhu China 15 222 1.0× 222 1.0× 59 0.4× 91 1.1× 38 0.5× 61 585
Yuchen Xu United States 9 149 0.6× 255 1.1× 62 0.5× 70 0.8× 95 1.3× 22 352

Countries citing papers authored by Abdullah Akce

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Akce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Akce

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

All Works

10 of 10 papers shown
1.
Norton, James J. S., Dong Sup Lee, Jungwoo Lee, et al.. (2015). Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface. Proceedings of the National Academy of Sciences. 112(13). 3920–3925. 311 indexed citations
2.
Akce, Abdullah, James J. S. Norton, & Timothy Bretl. (2014). An SSVEP-Based Brain–Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23(5). 857–866. 15 indexed citations
3.
Akce, Abdullah. (2013). Human control of robots over discrete noisy channels with high latency: Toward efficient EEG-based brain-robot interfaces. 1 indexed citations
4.
Dantsker, Or D., et al.. (2012). Development of a Fixed Wing Multi-Role Unmanned Aircraft Vehicle Research Testbed. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 3 indexed citations
5.
Akce, Abdullah, et al.. (2012). A Brain–Machine Interface to Navigate a Mobile Robot in a Planar Workspace: Enabling Humans to Fly Simulated Aircraft With EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(2). 306–318. 19 indexed citations
6.
Akce, Abdullah, James J. S. Norton, & Timothy Bretl. (2012). A brain-machine interface to navigate mobile robots along human-like paths amidst obstacles. 119. 4084–4089. 4 indexed citations
7.
Akce, Abdullah & Timothy Bretl. (2011). A compact representation of locally-shortest paths and its application to a human-robot interface. 25. 2713–2718. 2 indexed citations
8.
Omar, Cyrus, Abdullah Akce, Timothy Bretl, et al.. (2010). A Feedback Information-Theoretic Approach to the Design of Brain–Computer Interfaces. International Journal of Human-Computer Interaction. 27(1). 5–23. 28 indexed citations
10.
Bretl, Timothy, Gustavo Arechavaleta, Abdullah Akce, & J.-P. Laumond. (2010). Comments on "An Optimality Principle Governing Human Walking. IEEE Transactions on Robotics. 26(6). 1105–1106. 2 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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