Knut Wold

405 citations
9 papers · 298 · h-index 6

Impact in

Papers in

Journals
Journal of Computers (1 paper)IEEE Potentials (1 paper)International Journal of Reconfigurable Computing (1 paper)Duo Research Archive (University of Oslo) (1 paper)

In The Last Decade

Knut Wold

8 papers receiving 272 citations

Peers

Knut Wold
Comparison fields: 5 of 43
  • Hardware and Architecture 96
  • Computer Vision and Pattern Recognition 206
  • Computational Theory and Mathematics 112
  • Artificial Intelligence 144
  • Statistical and Nonlinear Physics 24
Replace Shahram Etemadi Borujeni with:
Shahram Etemadi Borujeni Iran
R. Sivaraman India
Har Narayan Upadhyay India
Nathalie Bochard France
Janier Arias-García Brazil
Miguel Garcia-Bosque Spain
Guoqiang Bai China
Changwan Hong United States
James F. Dray United States
Vladimir Rožić Belgium
Knut Wold relative to Shahram Etemadi Borujeni Iran Shahram Etemadi Borujeni's profile →
Citations per field
00.5×1.5×2.2×
Shahram Etemadi Borujeni · 1×
Citations per year

Countries citing papers authored by Knut Wold

Since Specialization
Citations

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

Fields of papers citing papers by Knut Wold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Knut Wold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Knut Wold Line = papers co-authored together Knut Wold links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Knut Wold

Knut Wold is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Hardware and Architecture, having authored 9 papers that have together received 298 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (5 papers), Cellular Automata and Applications (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Numerical Methods and Algorithms (2 papers), Cryptographic Implementations and Security (2 papers), Forensic and Genetic Research (1 paper), Advanced Malware Detection Techniques (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Hardware and Architecture (96 citations), Computer Vision and Pattern Recognition (206 citations), Computational Theory and Mathematics (112 citations), Artificial Intelligence (144 citations) and Statistical and Nonlinear Physics (24 citations). Knut Wold has collaborated with scholars based in Norway, United States and Slovenia. Frequent co-authors include Chik How Tan, Slobodan Petrović, Yun Ai, Einar Snekkenes, Daniel M. Hartung and Kálmán Graffi. Their work appears in journals such as Journal of Computers, IEEE Potentials, International Journal of Reconfigurable Computing and Duo Research Archive (University of Oslo).

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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