Pentti Kanerva
Impact in
- Artificial Intelligence top 0.5%
- Neural Networks and Reservoir Computing
- Topic Modeling
- Neural Networks and Applications
- Natural Language Processing Techniques
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- Ferroelectric and Negative Capacitance Devices
- Advanced Memory and Neural Computing
Papers in
-
- Neural Networks and Reservoir Computing 14
- Neural Networks and Applications 12
- Topic Modeling 7
- Natural Language Processing Techniques 6
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- Advanced Memory and Neural Computing 22
- Ferroelectric and Negative Capacitance Devices 19
- Co-authors
- Abbas Rahimi (8 shared papers)Jan M. Rabaey (8 shared papers)Anders Holst (2 shared papers)Luca Benini (2 shared papers)Magnus Sahlgren (3 shared papers)Simone Benatti (1 shared paper)José del R. Millán (2 shared papers)Bruno A. Olshausen (5 shared papers)
- Journals
- Proceedings of the IEEE (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Natural Language Engineering (1 paper)Computational Intelligence and Neuroscience (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Pentti Kanerva
46 papers receiving 2.4k citations
Pentti Kanerva's Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 1.5k
- Electrical and Electronic Engineering 1.5k
- Cognitive Neuroscience 369
- Hardware and Architecture 109
- Computational Theory and Mathematics 125
Countries citing papers authored by Pentti Kanerva
This map shows the geographic impact of Pentti Kanerva'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 Pentti Kanerva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pentti Kanerva more than expected).
Fields of papers citing papers by Pentti Kanerva
This network shows the impact of papers produced by Pentti Kanerva. 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 Pentti Kanerva. The network helps show where Pentti Kanerva may publish in the future.
Co-authors
The 25 scholars most cited alongside Pentti Kanerva, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors Hit paper breakdown → | 2009 | 603 |
| 2 | Sparse Distributed Memory Hit paper breakdown → | 1988 | 593 |
| 3 | Random indexing of text samples for latent semantic analysis | 2000 | 233 |
| 4 | 2016 | 206 | |
| 5 | 2016 | 136 | |
| 6 | 2018 | 107 | |
| 7 | Permutations as a means to encode order in word space | 2008 | 102 |
| 8 | 2017 | 98 | |
| 9 | Sparse distributed memory and related models | 1993 | 68 |
| 10 | 2017 | 50 | |
| 11 | 2015 | 48 | |
| 12 | 2022 | 47 | |
| 13 | Self-propagating search : a unified theory of memory | 1984 | 40 |
| 14 | 2017 | 37 | |
| 15 | Foundations of real-world intelligence | 2001 | 31 |
| 16 | 2015 | 29 | |
| 17 | What We Mean When We Say "What's the Dollar of Mexico?": Prototypes and Mapping in Concept Space | 2010 | 27 |
| 18 | 2013 | 27 | |
| 19 | Encoding Sequential Information in Vector Space Models of Semantics: Comparing Holographic Reduced Representation and Random Permutation | 2010 | 20 |
| 20 | 2014 | 18 |
About Pentti Kanerva
Pentti Kanerva is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (19 papers), Neural Networks and Reservoir Computing (14 papers), Neural Networks and Applications (12 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Electrical and Electronic Engineering (1.5k citations), Cognitive Neuroscience (369 citations), Hardware and Architecture (109 citations) and Computational Theory and Mathematics (125 citations). Pentti Kanerva has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Abbas Rahimi, Jan M. Rabaey, Anders Holst, Luca Benini, Magnus Sahlgren, Simone Benatti, José del R. Millán, Bruno A. Olshausen, Denis Kleyko and Gabriel Recchia. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Natural Language Engineering, Computational Intelligence and Neuroscience and Frontiers in Neuroscience.
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.