Berna Örs

1.9k citations
96 papers · 1.0k indexed · h-index 15
Topics
Cryptographic Implementations and Security (35 papers)Chaos-based Image/Signal Encryption (26 papers)Coding theory and cryptography (22 papers)

In The Last Decade

Berna Örs

87 papers receiving 962 citations

Peers

Berna Örs
Comparison fields: 5 of 64
  • Artificial Intelligence 696
  • Information Systems 342
  • Hardware and Architecture 303
  • Computer Vision and Pattern Recognition 279
  • Computer Networks and Communications 254
Replace Nele Mentens with:
Nele Mentens Belgium
Axel Pöschmann Germany
Kimmo Järvinen Finland
Srivaths Ravi United States
Amos R. Omondi Singapore
Dariush Abbasinezhad‐Mood Iran
Simon Heron Czechia
Morteza Nikooghadam Iran
Mordechai Guri Israel
Rached Tourki Tunisia
Berna Örs relative to Nele Mentens Belgium Nele Mentens's profile →
Citations per field
00.5×1.5×
Nele Mentens · 1×
Citations per year

Countries citing papers authored by Berna Örs

Since Specialization
Citations

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

Fields of papers citing papers by Berna Örs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berna Örs

This figure shows the co-authorship network connecting the top 25 collaborators of Berna Örs. A scholar is included among the top collaborators of Berna Örs 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 Berna Örs. Berna Örs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 7
5 5
6 1
7 2
8 9
9 12
10
Hardware/software co-design of a lightweight crypto algorithm BORON on an FPGA
1
11 62
12 2
13
Secure voice communication via GSM network
10
14 4
15
Differential Electromagnetic Attack on an FPGA
1
16
Measuring the vulnerability of cryptographic algorithms
2
17 143
18 52
19
Side channel attacks and fault attacks on cryptographic algorithms
2
20
An FPGA Implementation of a Montgomery Multiplier Over GF(2^m)
11

About Berna Örs

Berna Örs is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 96 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (35 papers), Chaos-based Image/Signal Encryption (26 papers) and Coding theory and cryptography (22 papers). The work is most often cited by research in Hardware and Architecture (303 citations), Artificial Intelligence (696 citations) and Information Systems (342 citations). Berna Örs has collaborated with scholars based in Türkiye, Belgium and United States. Frequent co-authors include Bart Preneel, Lejla Batina, Joos Vandewalle, Ahmet Arış, Sema Oktuğ, Elisabeth Oswald, Frank K. Gürkaynak, Ingrid Verbauwhede, François‐Xavier Standaert and Nele Mentens. Their work appears in journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Mobile Computing.

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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