Paulo Mateus

1.8k citations
85 papers · 909 · h-index 16

Impact in

Papers in

    • Quantum Computing Algorithms and Architecture 51
    • Quantum Information and Cryptography 37
    • Logic, Reasoning, and Knowledge 16
    • Cryptography and Data Security 12
    • Logic, programming, and type systems 12
    • Formal Methods in Verification 9
    • Computability, Logic, AI Algorithms 8

Paulo Mateus

80 papers receiving 875 citations

Peers

Paulo Mateus
Comparison fields: 5 of 58
  • Artificial Intelligence 806
  • Atomic and Molecular Physics, and Optics 459
  • Computational Theory and Mathematics 223
  • Hardware and Architecture 12
  • Signal Processing 17
Replace Alain Tapp with:
Alain Tapp Canada
Aleks Kissinger United Kingdom
Alex Bocharov United States
Frédéric Magniez France
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Rahul Jain Singapore
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Paulo Mateus

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Mateus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paulo Mateus, 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 Paulo Mateus Line = papers co-authored together Paulo Mateus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 201573
3 200945
4 201844
5 202041
6 201533
7 200627
8 200126
9 202125
10 200620
11 201319
12 200718
13 200818
14 201717
15 201317
16 202216
17 201115
18 201415
19 201915
20 201214

About Paulo Mateus

Paulo Mateus is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 909 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (51 papers), Quantum Information and Cryptography (37 papers), Quantum Mechanics and Applications (26 papers), Logic, Reasoning, and Knowledge (16 papers), Cryptography and Data Security (12 papers), Logic, programming, and type systems (12 papers), Formal Methods in Verification (9 papers) and Computability, Logic, AI Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (806 citations), Atomic and Molecular Physics, and Optics (459 citations), Computational Theory and Mathematics (223 citations), Hardware and Architecture (12 citations) and Signal Processing (17 citations). Paulo Mateus has collaborated with scholars based in Portugal, China and Czechia. Frequent co-authors include Daowen Qiu, Lvzhou Li, Xiangfu Zou, Amı́lcar Sernadas, Rohit Chadha, Pedro Adão, Nikola Paunković, Shengyu Zhang, André Souto and Jozef Gruska. Their work appears in journals such as Theoretical Computer Science, Quantum Information Processing, Physical Review A, Quantum and Logic Journal of IGPL.

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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