Tuba Ayhan

825 total citations · 1 hit paper
23 papers, 607 citations indexed

About

Tuba Ayhan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Tuba Ayhan has authored 23 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Tuba Ayhan's work include Low-power high-performance VLSI design (4 papers), Radio Frequency Integrated Circuit Design (3 papers) and Neural dynamics and brain function (3 papers). Tuba Ayhan is often cited by papers focused on Low-power high-performance VLSI design (4 papers), Radio Frequency Integrated Circuit Design (3 papers) and Neural dynamics and brain function (3 papers). Tuba Ayhan collaborates with scholars based in Türkiye, Belgium and United States. Tuba Ayhan's co-authors include Shankar Vembu, Ramón Huerta, M. L. Homer, Alexander Vergara, M. A. Ryan, Marian Verhelst, Wim Dehaene, Mustafa Altun, Müştak E. Yalçın and Patrick Reynaert and has published in prestigious journals such as IEEE Access, IEEE Journal of Solid-State Circuits and Sensors and Actuators B Chemical.

In The Last Decade

Tuba Ayhan

20 papers receiving 594 citations

Hit Papers

Chemical gas sensor drift compensation using classifier e... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chemical gas sensor drift compensation using classifier ensembles
    2012 495 citations Alexander Vergara, Shankar Vembu et al. Sensors and Actuators B Chemical profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuba Ayhan Türkiye 7 358 272 152 133 78 23 607
Irene Rodríguez-Luján United States 9 271 0.8× 164 0.6× 114 0.8× 97 0.7× 66 0.8× 15 436
Antonio Pardo Spain 21 679 1.9× 329 1.2× 39 0.3× 150 1.1× 214 2.7× 47 918
Sadique Sheik United States 12 100 0.3× 307 1.1× 152 1.0× 31 0.2× 21 0.3× 24 465
Selda Güney Türkiye 12 255 0.7× 120 0.4× 54 0.4× 61 0.5× 53 0.7× 38 414
Amol P. Bhondekar India 17 212 0.6× 262 1.0× 63 0.4× 41 0.3× 33 0.4× 50 747
Mehmet Türkan Türkiye 13 256 0.7× 104 0.4× 88 0.6× 70 0.5× 40 0.5× 41 680
Amine Ait Si Ali Qatar 10 168 0.5× 141 0.5× 36 0.2× 31 0.2× 56 0.7× 26 416
José Chilo Sweden 13 197 0.6× 292 1.1× 19 0.1× 29 0.2× 33 0.4× 57 542
Leyla Nazhandali United States 15 308 0.9× 840 3.1× 133 0.9× 5 0.0× 26 0.3× 53 1.1k
Muhammad Ali Akbar Qatar 10 76 0.2× 182 0.7× 94 0.6× 12 0.1× 34 0.4× 35 351

Countries citing papers authored by Tuba Ayhan

Since Specialization
Citations

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

Fields of papers citing papers by Tuba Ayhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuba Ayhan

This figure shows the co-authorship network connecting the top 25 collaborators of Tuba Ayhan. A scholar is included among the top collaborators of Tuba Ayhan 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 Tuba Ayhan. Tuba Ayhan 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
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Ayhan, Tuba, et al.. (2022). System-on-Chip Based Driver Drowsiness Detection and Warning System. MEF University Institutional Repository (MEF University). 1–5. 2 indexed citations
4.
Ayhan, Tuba, et al.. (2021). An FPGA Implementation of a RISC-V Based SoC System for Image Processing Applications. MEF University Institutional Repository (MEF University). 1–4. 5 indexed citations
5.
Yalçın, Müştak E., et al.. (2019). Reconfigurable Cellular Neural Networks and Their Applications. SpringerBriefs in applied sciences and technology. 6 indexed citations
6.
Ayhan, Tuba, et al.. (2018). Approximate implementation of FIR filters on FPGA. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 2 indexed citations
7.
Ayhan, Tuba & Mustafa Altun. (2018). Approximate Fully Connected Neural Network Generation. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 93–96. 6 indexed citations
8.
Ayhan, Tuba & Mustafa Altun. (2018). Circuit Aware Approximate System Design With Case Studies in Image Processing and Neural Networks. IEEE Access. 7. 4726–4734. 8 indexed citations
9.
Ayhan, Tuba, et al.. (2017). A Power Efficient System Design Methodology Employing Approximate Arithmetic Units. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 243–248. 4 indexed citations
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Ayhan, Tuba, et al.. (2014). A 60GHz transmitter in 40nm CMOS achieving mm-precision for discrete-carrier localization. Lirias (KU Leuven). 291–294. 1 indexed citations
12.
Ayhan, Tuba, Wim Dehaene, & Marian Verhelst. (2014). A 128~2048/1536 Point Fft Hardware Implementation With Output Pruning. INFM-OAR (INFN Catania). 266–270. 14 indexed citations
13.
Ayhan, Tuba, Wim Dehaene, & Marian Verhelst. (2013). A method for using sub-Nyquist sampling for ultra low-power positioning systems. Lirias (KU Leuven). 37. 100–105. 1 indexed citations
14.
Ayhan, Tuba, et al.. (2012). Hybrid processor population for odor processing. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 177–180. 1 indexed citations
15.
Ayhan, Tuba, et al.. (2012). Towards a Fast and Hardware Efficient Sub-MM Precision Ranging System. Lirias (KU Leuven). 2. 203–208. 10 indexed citations
16.
Vergara, Alexander, Shankar Vembu, Tuba Ayhan, et al.. (2012). Chemical gas sensor drift compensation using classifier ensembles. Sensors and Actuators B Chemical. 166-167. 320–329. 495 indexed citations breakdown →
17.
Vergara, Alexander, Ramón Huerta, Tuba Ayhan, et al.. (2011). Gas sensor drift mitigation using classifier ensembles. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 16–24. 11 indexed citations
18.
Ayhan, Tuba & Müştak E. Yalçın. (2011). Randomly reconfigurable Cellular Neural Network. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1. 604–607. 4 indexed citations
19.
Ayhan, Tuba & Serhat Şeker. (2011). Detemination of decision moments in EEG signals using DWT. 1. 268–271.
20.
Ayhan, Tuba, Mehmet K. Muezzinoglu, & Müştak E. Yalçın. (2010). Cellular Neural Network based artificial antennal lobe. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 297. 1–6. 1 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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