Thomas B. Pedersen

803 citations
20 papers · 336 · h-index 9

Impact in

Papers in

Thomas B. Pedersen

19 papers receiving 314 citations

Peers

Thomas B. Pedersen
Comparison fields: 5 of 43
  • Artificial Intelligence 282
  • Atomic and Molecular Physics, and Optics 106
  • Acoustics and Ultrasonics 3
  • Computer Vision and Pattern Recognition 54
  • Signal Processing 27
Replace Houzhen Wang with:
Houzhen Wang China
Abhishek Parakh United States
Xiaoyuan Liu United States
Tao Shang China
Prakash Murali United States
Poulami Das India
Zhimin He China
Jennifer Paykin United States
Albrecht Petzoldt United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas B. Pedersen

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B. Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B. Pedersen. 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 Thomas B. Pedersen. The network helps show where Thomas B. Pedersen may publish in the future.

Co-authors

The 24 scholars most cited alongside Thomas B. Pedersen, 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 Thomas B. Pedersen Line = papers co-authored together Thomas B. Pedersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202285
2 202160
3 200847
4
Secret charing vs. encryption-based techniques for privacy preserving data mining
200727
5 201520
6 201018
7 201015
8 201113
9 201111
10 20168
11 20087
12 20056
13 20106
14 20205
15
8 GBit/s real-time quantum random number generator with non-iid samples
20183
16 20091
17 20121
18 20131
19 20141
20 20031

About Thomas B. Pedersen

Thomas B. Pedersen is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Information Systems, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 20 papers that have together received 336 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Quantum Computing Algorithms and Architecture (6 papers), Privacy-Preserving Technologies in Data (6 papers), Quantum Information and Cryptography (5 papers), Quantum Mechanics and Applications (4 papers), Complexity and Algorithms in Graphs (3 papers), Biometric Identification and Security (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Atomic and Molecular Physics, and Optics (106 citations), Acoustics and Ultrasonics (3 citations), Computer Vision and Pattern Recognition (54 citations) and Signal Processing (27 citations). Thomas B. Pedersen has collaborated with scholars based in Türkiye, United Kingdom and Denmark. Frequent co-authors include Erkay Savaş, Yücel Saygın, Arne Kordts, Nitin Jain, Stefano Pirandola, Ulrik L. Andersen, Tobias Gehring, Cosmo Lupo, Albert Lévi and Hou-Man Chin. Their work appears in journals such as Nature Communications, Data & Knowledge Engineering, International Journal of Data Warehousing and Mining, Natural Computing and Discrete Applied Mathematics.

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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