Manuel Leithner

741 citations
33 papers · 454 indexed · h-index 10

Manuel Leithner

29 papers receiving 421 citations

Peers

Manuel Leithner
Comparison fields: 5 of 50
  • Software 72
  • Signal Processing 173
  • Information Systems 347
  • Computer Networks and Communications 118
  • Artificial Intelligence 144
Replace Juraj Somorovsky with:
Juraj Somorovsky Germany
Abbas Rasoolzadegan Iran
Joeri de Ruiter Netherlands
Anna Shubina United States
Sebastian Schinzel Germany
Michael Zhivich United States
Jethro G. Beekman United States
David Barrera Canada
Xiaorui Pan United States
Christian Wressnegger Germany
Manuel Leithner relative to Juraj Somorovsky Germany Juraj Somorovsky's profile →
Citations per field
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Juraj Somorovsky · 1×
Citations per year

Countries citing papers authored by Manuel Leithner

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Leithner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Manuel Leithner, 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 Manuel Leithner Line = papers co-authored together Manuel Leithner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20230
4 20231
5 20220
6 20219
7 20211
8 20214
9 20194
10 20195
11 201916
12 201812
13 20149
14 20135
15
Guess Who's Texting You? Evaluating the Security of Smartphone Messaging Applications.
201270
16 20122
17 20122
18
Dark clouds on the horizon: using cloud storage as attack vector and online slack space
2011129
19 201149
20 201084

About Manuel Leithner

Manuel Leithner is a scholar working on Software, Signal Processing, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 33 papers that have together received 454 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (16 papers), Advanced Malware Detection Techniques (12 papers), Web Application Security Vulnerabilities (9 papers), Software Reliability and Analysis Research (6 papers), User Authentication and Security Systems (4 papers), Security and Verification in Computing (4 papers), Web Data Mining and Analysis (3 papers) and Digital and Cyber Forensics (3 papers). The work is most often cited by research in Software (72 citations), Signal Processing (173 citations), Information Systems (347 citations), Computer Networks and Communications (118 citations) and Artificial Intelligence (144 citations). Manuel Leithner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Edgar Weippl, Martin Mulazzani, Sebastian Schrittwieser, Markus Huber, Dimitris E. Simos, Peter Kieseberg, Peter Frühwirt, Gilbert Wondracek, Raghu N. Kacker and Franz Wotawa. Their work appears in journals such as Computers & Security, Theoretical Computer Science, Software Testing Verification and Reliability, International Journal on Software Tools for Technology Transfer and Software Quality Journal.

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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