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.
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors
Countries citing papers authored by Pentti Kanerva
Since
Specialization
Citations
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).
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-authorship network of co-authors of Pentti Kanerva
This figure shows the co-authorship network connecting the top 25 collaborators of Pentti Kanerva.
A scholar is included among the top collaborators of Pentti Kanerva 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 Pentti Kanerva. Pentti Kanerva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karlgren, Jussi & Pentti Kanerva. (2021). Semantics in High-Dimensional Space. Frontiers in Artificial Intelligence. 4. 698809–698809.4 indexed citations
6.
Karlgren, Jussi, et al.. (2018). Authorship profiling without using topical information : Notebook for PAN at CLEF 2018. 2125.1 indexed citations
Recchia, Gabriel, Michael N. Jones, Magnus Sahlgren, & Pentti Kanerva. (2010). Encoding Sequential Information in Vector Space Models of Semantics: Comparing Holographic Reduced Representation and Random Permutation. eScholarship (California Digital Library). 32(32). 865–870.20 indexed citations
10.
Kanerva, Pentti. (2010). What We Mean When We Say "What's the Dollar of Mexico?": Prototypes and Mapping in Concept Space. National Conference on Artificial Intelligence.27 indexed citations
11.
Sahlgren, Magnus, Anders Holst, & Pentti Kanerva. (2008). Permutations as a means to encode order in word space. KTH Publication Database DiVA (KTH Royal Institute of Technology).102 indexed citations
Kanerva, Pentti, et al.. (2001). Foundations of real-world intelligence.31 indexed citations
15.
Kanerva, Pentti, et al.. (2000). Random indexing of text samples for latent semantic analysis. eScholarship (California Digital Library). 22(22).233 indexed citations
16.
Kanerva, Pentti. (1993). Sparse distributed memory and related models. NASA Technical Reports Server (NASA). 50–76.68 indexed citations
Kanerva, Pentti. (1989). Contour-Map Encoding of Shape for Early Vision. NASA STI Repository (National Aeronautics and Space Administration). 2. 282–289.2 indexed citations
Kanerva, Pentti. (1984). Self-propagating search : a unified theory of memory.40 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.