André Årnes

22 papers receiving 378 citations

Peers

André Årnes
Comparison fields: 5 of 42
  • Signal Processing 178
  • Computer Networks and Communications 229
  • Information Systems 215
  • Software 24
  • Artificial Intelligence 176
Replace Naser Ezzati‐Jivan with:
Naser Ezzati‐Jivan Canada
Shalini Chandra India
Prakash Kolan United States
Xiaoyan Sun United States
Abbas Ghaemi Bafghi Iran
Ihor Kuz Australia
Guy Helmer United States
O. Sami Saydjari United States
Chun-Jen Chung United States
Mohamed Almorsy Australia
André Årnes relative to Naser Ezzati‐Jivan Canada Naser Ezzati‐Jivan's profile →
Citations per field
00.5×1.6×
Naser Ezzati‐Jivan · 1×
Citations per year

Countries citing papers authored by André Årnes

Since Specialization
Citations

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

Fields of papers citing papers by André Årnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside André Årnes, 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 André Årnes Line = papers co-authored together André Årnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200671
2 200554
3 200946
4 200637
5 200731
6 200627
7
Circumventing IP-address pseudonymization.
200523
8 201715
9 200614
10 200613
11 201610
12 201410
13 20189
14 20118
15 20218
16 20118
17 20057
18 20227
19 20234
20
Real-time Risk Assessment with Network Sensors and Hidden Markov Models
20064

About André Årnes

André Årnes is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 410 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (11 papers), Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (5 papers), Digital Media Forensic Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Signal Processing (178 citations), Computer Networks and Communications (229 citations), Information Systems (215 citations), Software (24 citations) and Artificial Intelligence (176 citations). André Årnes has collaborated with scholars based in Norway, United States and Switzerland. Frequent co-authors include Richard A. Kemmerer, Giovanni Vigna, Fredrik Valeur, Katrin Franke, Svein J. Knapskog, Kristoffer Jensen, Thanh Do, Habtamu Abie and Lasse Øverlier. Their work appears in journals such as Digital Investigation, Forensic Science International Digital Investigation, Journal of Computer Virology and Hacking Techniques, Lecture notes in computer science and IFIP advances in information and communication technology.

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.

Explore authors with similar magnitude of impact