Daniel Dinu

1.1k citations
44 papers · 636 · h-index 13

Impact in

Papers in

Daniel Dinu

42 papers receiving 609 citations

Peers

Daniel Dinu
Comparison fields: 5 of 72
  • Hardware and Architecture 114
  • Signal Processing 137
  • Orthopedics and Sports Medicine 81
  • Computer Vision and Pattern Recognition 226
  • Artificial Intelligence 355
Replace Taegyu Kim with:
Taegyu Kim South Korea
Grant Wallace United States
David S. Munro Australia
Jonathan Woodbridge United States
Allen C. Cheng United States
Agustinus Borgy Waluyo Australia
Adrian Popescu United States
Björn Knutsson Sweden
Mwaffaq Otoom Jordan
Benjamin Smith France
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Citations per field
00.5×10×14.1×
Taegyu Kim · 1×
Citations per year

Countries citing papers authored by Daniel Dinu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dinu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016120
2 201897
3 201690
4 201828
5 202027
6 201524
7 201621
8 201619
9 201818
10 201817
11 201815
12 201915
13
The memory-hard Argon2 password hash and proof-of-work function
200014
14 201710
15 20229
16 20189
17 20199
18
SPARX: A Family of ARX-based Lightweight Block Ciphers Provably Secure Against Linear and Differential Attacks
20169
19 20119
20 20209

About Daniel Dinu

Daniel Dinu is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 44 papers that have together received 636 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (15 papers), Sports Performance and Training (14 papers), Chaos-based Image/Signal Encryption (10 papers), Sports injuries and prevention (9 papers), Security and Verification in Computing (8 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Sports Dynamics and Biomechanics (5 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Hardware and Architecture (114 citations), Signal Processing (137 citations), Orthopedics and Sports Medicine (81 citations), Computer Vision and Pattern Recognition (226 citations) and Artificial Intelligence (355 citations). Daniel Dinu has collaborated with scholars based in France, Luxembourg and United States. Frequent co-authors include Alex Biryukov, Dmitry Khovratovich, Johann Großschädl, Y. Corre, Léo Perrin, Aleksei Udovenko, Julien Louis, Vesselin Velichkov, Ilya Kizhvatov and Jean Slawinski. Their work appears in journals such as Frontiers in Sports and Active Living, Journal of Human Kinetics, Computer Methods in Biomechanics & Biomedical Engineering, IEEE Solid-State Circuits Letters and IACR Transactions on Cryptographic Hardware and Embedded Systems.

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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