Adrian Horzyk
Impact in
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- Neural Networks and Applications
- Neural Networks and Reservoir Computing
- Cognitive Computing and Networks
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- Neural dynamics and brain function
Papers in
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- Neural Networks and Applications 19
- Neural Networks and Reservoir Computing 3
- Cognitive Computing and Networks 3
- Fuzzy Logic and Control Systems 2
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- Advanced Memory and Neural Computing 9
- Co-authors
- Janusz A. Starzyk (14 shared papers)Ewa Dudek–Dyduch (2 shared papers)Ryszard Tadeusiewicz (1 shared paper)James Graham (2 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (4 papers)Neurocomputing (2 papers)International Journal of Applied Mathematics and Computer Science (1 paper)Journal of Electrocardiology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- PolandUnited States
In The Last Decade
Adrian Horzyk
25 papers receiving 139 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 78
- Cognitive Neuroscience 38
- Computer Vision and Pattern Recognition 31
- Health Informatics 2
- Electrical and Electronic Engineering 57
Countries citing papers authored by Adrian Horzyk
This map shows the geographic impact of Adrian Horzyk'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 Adrian Horzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Horzyk more than expected).
Fields of papers citing papers by Adrian Horzyk
This network shows the impact of papers produced by Adrian Horzyk. 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 Adrian Horzyk. The network helps show where Adrian Horzyk may publish in the future.
Co-authors
The 4 scholars most cited alongside Adrian Horzyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 39 | |
| 2 | 2017 | 22 | |
| 3 | 2014 | 18 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 8 | |
| 7 | 2016 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2005 | 4 | |
| 11 | 2005 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 2 | |
| 16 | Interval Basis Neural Networks as a New Classification Tool. | 2005 | 2 |
| 17 | 2009 | 1 | |
| 18 | 2020 | 1 | |
| 19 | A hybrid neural network used for the colour conversion from RGB to CMY and a new method for choosing a learning set | 1998 | 1 |
| 20 | 2024 | 1 |
About Adrian Horzyk
Adrian Horzyk is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 27 papers that have together received 151 indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (5 papers), Neural Networks and Reservoir Computing (3 papers), Cognitive Computing and Networks (3 papers), Face and Expression Recognition (2 papers), Fuzzy Logic and Control Systems (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (78 citations), Cognitive Neuroscience (38 citations), Computer Vision and Pattern Recognition (31 citations), Health Informatics (2 citations) and Electrical and Electronic Engineering (57 citations). Adrian Horzyk has collaborated with scholars based in Poland and United States. Frequent co-authors include Janusz A. Starzyk, Ewa Dudek–Dyduch, Ryszard Tadeusiewicz and James Graham. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, International Journal of Applied Mathematics and Computer Science, Journal of Electrocardiology and SHILAP Revista de lepidopterología.
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.