M. Valencia

437 citations
49 papers · 258 · h-index 9

Impact in

Papers in

M. Valencia

43 papers receiving 245 citations

Peers

M. Valencia
Comparison fields: 5 of 53
  • Hardware and Architecture 93
  • Computer Vision and Pattern Recognition 63
  • Artificial Intelligence 92
  • Electrical and Electronic Engineering 104
  • Computational Theory and Mathematics 24
Replace K. Torki with:
K. Torki France
Mohammad Javad Dousti United States
Debjit Pal United States
Nor Zaidi Haron Malaysia
Zuying Luo China
Thanh‐Ha Le France
Lucian Prodan Romania
B. Hochet Switzerland
Yun Long United States
Mahmoud Tabandeh Iran
M. Valencia relative to K. Torki France K. Torki's profile →
Citations per field
00.5×3.5×
K. Torki · 1×
Citations per year

Countries citing papers authored by M. Valencia

Since Specialization
Citations

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

Fields of papers citing papers by M. Valencia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside M. Valencia, 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 M. Valencia Line = papers co-authored together M. Valencia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200027
2 199223
3 201020
4 201716
5 199715
6 200514
7 201713
8 201111
9 201611
10 20138
11 20038
12 20158
13 20207
14 19916
15 19986
16 20175
17 20165
18 20205
19 20165
20 20214

About M. Valencia

M. Valencia is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 49 papers that have together received 258 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (19 papers), Cryptographic Implementations and Security (10 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Chaos-based Image/Signal Encryption (7 papers), Embedded Systems Design Techniques (7 papers), Experimental Learning in Engineering (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Hardware and Architecture (93 citations), Computer Vision and Pattern Recognition (63 citations), Artificial Intelligence (92 citations), Electrical and Electronic Engineering (104 citations) and Computational Theory and Mathematics (24 citations). M. Valencia has collaborated with scholars based in Spain, United States and Saudi Arabia. Frequent co-authors include Antonio J. Acosta, J.L. Huertas, M.J. Bellido, A. Barriga, David Conchouso, Alfonso Torres, Jürgen Kosel, Ian G. Foulds, Joaquín Salas and Timothy L. Atallah. Their work appears in journals such as Electronics Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, International Journal of Circuit Theory and Applications, Analog Integrated Circuits and Signal Processing and IEEE Transactions on Circuits & Systems II Express Briefs.

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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