Taras Iakymchuk
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
-
- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 10
- CCD and CMOS Imaging Sensors 3
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- Neural dynamics and brain function 5
- Co-authors
- Alfredo Rosado-Muñoz (18 shared papers)Jose V. Francés-Víllora (7 shared papers)Manuel Bataller‐Mompeán (6 shared papers)Juan Guerrero (4 shared papers)Maciej Nikodem (1 shared paper)B. Linares-Barranco (4 shared papers)Alejandro Linares-Barranco (4 shared papers)Teresa Serrano‐Gotarredona (4 shared papers)
- Journals
- Electronics (2 papers)IEEE Access (1 paper)Sensors (1 paper)IEEE Transactions on Computers (1 paper)Measurement (1 paper)
- Partner nations
- SpainPolandUnited Kingdom
In The Last Decade
Taras Iakymchuk
19 papers receiving 272 citations
Peers
Comparison fields: 5 of 54
- Hardware and Architecture 34
- Cellular and Molecular Neuroscience 73
- Cognitive Neuroscience 69
- Electrical and Electronic Engineering 206
- Artificial Intelligence 79
Countries citing papers authored by Taras Iakymchuk
This map shows the geographic impact of Taras Iakymchuk'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 Taras Iakymchuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taras Iakymchuk more than expected).
Fields of papers citing papers by Taras Iakymchuk
This network shows the impact of papers produced by Taras Iakymchuk. 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 Taras Iakymchuk. The network helps show where Taras Iakymchuk may publish in the future.
Co-authors
The 19 scholars most cited alongside Taras Iakymchuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 83 | |
| 2 | 2019 | 46 | |
| 3 | 2017 | 29 | |
| 4 | 2014 | 26 | |
| 5 | 2011 | 25 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 11 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2014 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2017 | 1 |
About Taras Iakymchuk
Taras Iakymchuk is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (5 papers), Neural Networks and Reservoir Computing (4 papers), CCD and CMOS Imaging Sensors (3 papers), Smart Materials for Construction (2 papers), Matrix Theory and Algorithms (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (34 citations), Cellular and Molecular Neuroscience (73 citations), Cognitive Neuroscience (69 citations), Electrical and Electronic Engineering (206 citations) and Artificial Intelligence (79 citations). Taras Iakymchuk has collaborated with scholars based in Spain, Poland and United Kingdom. Frequent co-authors include Alfredo Rosado-Muñoz, Jose V. Francés-Víllora, Manuel Bataller‐Mompeán, Juan Guerrero, Maciej Nikodem, B. Linares-Barranco, Alejandro Linares-Barranco, Teresa Serrano‐Gotarredona, Ángel Jiménez-Fernández and Silvia Casans Berga. Their work appears in journals such as Electronics, IEEE Access, Sensors, IEEE Transactions on Computers and Measurement.
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.