Denis Kleyko

2.4k total citations
59 papers, 1.1k citations indexed

About

Denis Kleyko is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Denis Kleyko has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 34 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Denis Kleyko's work include Ferroelectric and Negative Capacitance Devices (30 papers), Advanced Memory and Neural Computing (26 papers) and Neural Networks and Reservoir Computing (16 papers). Denis Kleyko is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (30 papers), Advanced Memory and Neural Computing (26 papers) and Neural Networks and Reservoir Computing (16 papers). Denis Kleyko collaborates with scholars based in Sweden, United States and Australia. Denis Kleyko's co-authors include Evgeny Osipov, Abbas Rahimi, Dmitri A. Rachkovskij, Jan M. Rabaey, Bruno A. Olshausen, E. Paxon Frady, Nikita Lyamin, Friedrich T. Sommer, Alexey Vinel and Urban Wiklund and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

Denis Kleyko

58 papers receiving 1.0k citations

Peers

Denis Kleyko

EEE

CNC

CVPR

CTM

Evgeny Osipov Sweden

Rocco Fazzolari Italy

Mitra Mirhassani Canada

Ammar W. Mohemmed New Zealand

Ke Huang United States

Muhammad Abdullah Hanif Austria

Anssi Kanervisto Finland

Maximilian Ernestus Germany

Antonin Raffin Germany

Joo-Young Kim South Korea

Evgeny Osipov Sweden

Denis Kleyko

498 ×0.7

EEE

394 ×0.8

136 ×1.2

CNC

76 ×1.0

CVPR

41 ×0.7

CTM

Citations per year, relative to Denis Kleyko Denis Kleyko (= 1×) peers Evgeny Osipov

Countries citing papers authored by Denis Kleyko

Since Specialization

Citations

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

Fields of papers citing papers by Denis Kleyko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Kleyko

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

All Works

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20 of 20 papers shown

Kleyko, Denis, et al.. (2025). Principled neuromorphic reservoir computing. Nature Communications. 16(1). 640–640. 4 indexed citations

Kleyko, Denis, et al.. (2025). Classification using hyperdimensional computing: a review with comparative analysis. Artificial Intelligence Review. 58(6). 1 indexed citations

Kleyko, Denis, et al.. (2024). Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nature Machine Intelligence. 6(2). 243–244. 2 indexed citations

Kleyko, Denis & Dmitri A. Rachkovskij. (2024). On Design Choices in Similarity-Preserving Sparse Randomized Embeddings. ArXiv.org. 1–8.

Kleyko, Denis, et al.. (2024). Computing With Residue Numbers in High-Dimensional Representation. Neural Computation. 37(1). 1–37. 5 indexed citations

Kleyko, Denis, et al.. (2023). Efficient Decoding of Compositional Structure in Holistic Representations. Neural Computation. 35(7). 1159–1186. 7 indexed citations

Kleyko, Denis, et al.. (2023). Efficient optimization with higher-order Ising machines. Nature Communications. 14(1). 6033–6033. 33 indexed citations

Kleyko, Denis, et al.. (2023). On separating long- and short-term memories in hyperdimensional computing. Frontiers in Neuroscience. 16. 867568–867568. 1 indexed citations

Kleyko, Denis, Mike Davies, Pentti Kanerva, et al.. (2022). Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proceedings of the IEEE. 110(10). 1538–1571. 47 indexed citations

10.

Kleyko, Denis, Dmitri A. Rachkovskij, Evgeny Osipov, & Abbas Rahimi. (2022). A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. ACM Computing Surveys. 55(9). 1–52. 3 indexed citations

11.

Osipov, Evgeny, et al.. (2022). Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6583–6597. 20 indexed citations

12.

Kleyko, Denis, Dmitri A. Rachkovskij, Evgeny Osipov, & Abbas Rahimi. (2022). A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. ACM Computing Surveys. 55(6). 1–40. 62 indexed citations

13.

Rosato, Antonello, Massimo Panella, & Denis Kleyko. (2021). Hyperdimensional computing for efficient distributed classification with randomized neural networks. IRIS Research product catalog (Sapienza University of Rome). 10 indexed citations

14.

Kleyko, Denis, et al.. (2021). Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. arXiv (Cornell University). 12 indexed citations

15.

Kleyko, Denis, Evgeny Osipov, & Urban Wiklund. (2020). A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017. Biomedical Physics & Engineering Express. 6(2). 25010–25010. 8 indexed citations

16.

Kleyko, Denis, et al.. (2020). Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3777–3783. 29 indexed citations

17.

Kleyko, Denis, E. Paxon Frady, & Friedrich T. Sommer. (2020). Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. arXiv (Cornell University). 14 indexed citations

18.

Kleyko, Denis, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, & Jan M. Rabaey. (2018). Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 5880–5898. 73 indexed citations

19.

Wedekind, Daniel, Denis Kleyko, Evgeny Osipov, et al.. (2018). Robust Methods for Automated Selection of Cardiac Signals After Blind Source Separation. IEEE Transactions on Biomedical Engineering. 65(10). 2248–2258. 5 indexed citations

20.

Kleyko, Denis, Roland Hostettler, Wolfgang Birk, & Evgeny Osipov. (2015). Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors. 572–577. 29 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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