Orlando Arias

1.0k citations
18 papers · 647 indexed · 1 hit paper · h-index 7
Topics
Advanced Malware Detection Techniques (12 papers)Security and Verification in Computing (11 papers)Physical Unclonable Functions (PUFs) and Hardware Security (8 papers)

In The Last Decade

Orlando Arias

16 papers receiving 624 citations

Hit Papers

Privacy and Security in Internet of Things and Wearable D...2015202620182022201550100150200

Peers

Orlando Arias
Comparison fields: 5 of 65
  • Signal Processing 318
  • Computer Networks and Communications 317
  • Artificial Intelligence 313
  • Information Systems 205
  • Hardware and Architecture 147
Replace Jan-Erik Ekberg with:
Jan-Erik Ekberg Finland
Joseph G. Tront United States
Manuel Barbosa Portugal
Yossi Oren Israel
Alec Yasinsac United States
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Orlando Arias relative to Jan-Erik Ekberg Finland Jan-Erik Ekberg's profile →
Citations per field
00.5×1.5×2.2×
Jan-Erik Ekberg · 1×
Citations per year

Countries citing papers authored by Orlando Arias

Since Specialization
Citations

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

Fields of papers citing papers by Orlando Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Orlando Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Orlando Arias. A scholar is included among the top collaborators of Orlando Arias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Orlando Arias. Orlando Arias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 4
3 1
4 3
5 1
6 2
7 3
8 5
9 2
10 8
11 23
12 51
13 5
14 32
15
Towards a Policy-Agnostic Control-Flow Integrity Implementation
0
16 172
17
Privacy and Security in Internet of Things and Wearable Devicesbreakdown →
226
18 108

About Orlando Arias

Orlando Arias is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 647 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Security and Verification in Computing (11 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (8 papers). The work is most often cited by research in Signal Processing (318 citations), Hardware and Architecture (147 citations) and Computer Networks and Communications (317 citations). Orlando Arias has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yier Jin, Ahmad‐Reza Sadeghi, Dean Sullivan, Lucas Davi, Patrick Koeberl, Ghada Dessouky, Shaza Zeitouni, Ahmad Ibrahim, Travis Meade and Per Larsen. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of International Crisis and Risk Communication Research.

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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