Adrian Dabrowski

693 citations
31 papers · 529 · h-index 13

Impact in

Papers in

Adrian Dabrowski

30 papers receiving 508 citations

Peers

Adrian Dabrowski
Comparison fields: 5 of 63
  • Signal Processing 126
  • Hardware and Architecture 62
  • Computer Networks and Communications 190
  • Information Systems 167
  • Artificial Intelligence 197
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Mun‐Kyu Lee South Korea
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Teerath Das India
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Νικόλαος Αλεξόπουλος Germany
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Citations per field
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Citations per year

Countries citing papers authored by Adrian Dabrowski

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Dabrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Adrian Dabrowski, 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 Adrian Dabrowski Line = papers co-authored together Adrian Dabrowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201499
2 201768
3 201937
4 201636
5 202033
6 202232
7 201430
8
IPv6 security: attacks and countermeasures in a nutshell
201421
9 202418
10
Leveraging Competitive Gamification for Sustainable Fun and Profit in Security Education
201516
11 201414
12 201714
13 201613
14 201312
15 201312
16 202411
17 201111
18 201511
19 20218
20 20218

About Adrian Dabrowski

Adrian Dabrowski is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Hardware and Architecture and Sociology and Political Science, having authored 31 papers that have together received 529 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), User Authentication and Security Systems (6 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Face recognition and analysis (4 papers), Privacy, Security, and Data Protection (4 papers), Security and Verification in Computing (4 papers), Biometric Identification and Security (3 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Signal Processing (126 citations), Hardware and Architecture (62 citations), Computer Networks and Communications (190 citations), Information Systems (167 citations) and Artificial Intelligence (197 citations). Adrian Dabrowski has collaborated with scholars based in Austria, Germany and Japan. Frequent co-authors include Edgar Weippl, Johanna Ullrich, Katharina Krombholz, Martin Mulazzani, Georg Merzdovnik, Heidelinde Hobel, Matthew Smith, Isao Echizen, Stijn Volckaert and Yeoul Na. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Lecture notes in computer science, Lecture notes in business information processing, e+i Elektrotechnik und Informationstechnik and VU Research Portal.

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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