Martin Mulazzani

1.2k citations
23 papers · 642 indexed · h-index 11
Topics
Advanced Malware Detection Techniques (13 papers)Spam and Phishing Detection (8 papers)Digital and Cyber Forensics (7 papers)
Partner nations
AustriaGermanyItaly

In The Last Decade

Martin Mulazzani

23 papers receiving 593 citations

Peers

Martin Mulazzani
Comparison fields: 5 of 56
  • Information Systems 458
  • Artificial Intelligence 259
  • Signal Processing 254
  • Computer Networks and Communications 208
  • Sociology and Political Science 100
Replace Kari Kostiainen with:
Kari Kostiainen Switzerland
Sebastian Schrittwieser Austria
Woei-Jiunn Tsaur Taiwan
J.B. Grizzard United States
Wayne Jansen United States
Giampaolo Bella Italy
Peter Gutmann New Zealand
Ahmed Aleroud United States
Xuhua Ding Singapore
Manuel Leithner Austria
Martin Mulazzani relative to Kari Kostiainen Switzerland Kari Kostiainen's profile →
Citations per field
00.5×1.5×
Kari Kostiainen · 1×
Citations per year

Countries citing papers authored by Martin Mulazzani

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mulazzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Mulazzani

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Mulazzani. A scholar is included among the top collaborators of Martin Mulazzani 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 Martin Mulazzani. Martin Mulazzani 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 12
2 9
3 84
4 10
5 11
6 26
7 5
8 8
9
Guess Who's Texting You? Evaluating the Security of Smartphone Messaging Applications.
70
10
Dark clouds on the horizon: using cloud storage as attack vector and online slack space
129
11 49
12 11
13 41
14 5
15 84
16 10
17 4
18 7
19
Friend-in-the-middle Attacks
1
20 41

About Martin Mulazzani

Martin Mulazzani is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 23 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Spam and Phishing Detection (8 papers) and Digital and Cyber Forensics (7 papers). The work is most often cited by research in Signal Processing (254 citations), Information Systems (458 citations) and Computer Networks and Communications (208 citations). Martin Mulazzani has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Edgar Weippl, Markus Huber, Sebastian Schrittwieser, Manuel Leithner, Peter Kieseberg, Peter Frühwirt, Adrian Dabrowski, Sigrun Goluch, Gilbert Wondracek and Thomas A. Unger. Their work appears in journals such as Computers & Security, IEEE Internet Computing and Electronic Markets.

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

Rankless by CCL
2026