Michael Backes

2.2k citations
54 papers · 1.1k · h-index 19

Impact in

Papers in

    • Spam and Phishing Detection 8
    • Web Application Security Vulnerabilities 8
    • Security and Verification in Computing 9
    • Adversarial Robustness in Machine Learning 5
    • Internet Traffic Analysis and Secure E-voting 5

Michael Backes

46 papers receiving 1.0k citations

Peers

Michael Backes
Comparison fields: 5 of 65
  • Signal Processing 493
  • Software 128
  • Information Systems 684
  • Artificial Intelligence 483
  • Computer Networks and Communications 243
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Citations per year

Countries citing papers authored by Michael Backes

Since Specialization
Citations

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

Fields of papers citing papers by Michael Backes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Backes, 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 Michael Backes Line = papers co-authored together Michael Backes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016167
2
On Demystifying the Android Application Framework: Re-Visiting Android Permission Specification Analysis
201668
3 201766
4 202260
5 202054
6 200454
7
Hey, You Have a Problem: On the Feasibility of Large-Scale Web Vulnerability Notification
201643
8 201941
9 202440
10 200936
11
10th ACM conference on Computer and communications security (CCS 2003)
200334
12 201933
13 201929
14 201925
15 201822
16 202122
17 202222
18 201522
19 202320
20 201218

About Michael Backes

Michael Backes is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (20 papers), Security and Verification in Computing (9 papers), Spam and Phishing Detection (8 papers), Network Security and Intrusion Detection (8 papers), Web Application Security Vulnerabilities (8 papers), Privacy, Security, and Data Protection (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Signal Processing (493 citations), Software (128 citations), Information Systems (684 citations), Artificial Intelligence (483 citations) and Computer Networks and Communications (243 citations). Michael Backes has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ben Stock, Sven Bugiel, Sascha Fahl, Yasemin Acar, Michelle L. Mazurek, Doowon Kim, Christian Stransky, Erik Derr, Matthias Schunter and Günter Karjoth. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Privacy and Security, Advanced Science, Lecture notes in computer science and Publications of the UdS (Saarland University).

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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