Michael Backes

24.3k total citations · 1 hit paper
221 papers, 4.6k citations indexed

About

Michael Backes is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Michael Backes has authored 221 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 65 papers in Information Systems and 63 papers in Computer Networks and Communications. Recurrent topics in Michael Backes's work include Cryptography and Data Security (69 papers), Advanced Malware Detection Techniques (43 papers) and Advanced Authentication Protocols Security (38 papers). Michael Backes is often cited by papers focused on Cryptography and Data Security (69 papers), Advanced Malware Detection Techniques (43 papers) and Advanced Authentication Protocols Security (38 papers). Michael Backes collaborates with scholars based in Germany, United States and Switzerland. Michael Backes's co-authors include Sven Bugiel, Erik Derr, Yasemin Acar, Sascha Fahl, Matteo Maffei, Michael Waidner, B. Pfitzmann, Birgit Pfitzmann, Stefan Nürnberger and Mathias Humbert and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Agricultural and Food Chemistry.

In The Last Decade

Michael Backes

205 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reliable Third-Party Library Detection in Android and its Security Applications

2016 215 citations Michael Backes, Sven Bugiel et al. profile →

Peers

Michael Backes

AI

IS

SP

CNC

SPS

Danfeng Yao United States

Hao Chen United States

Roberto J. Bayardo United States

Georg Gottlob Austria

Peng Ning United States

Hong Cheng Hong Kong

David Basin Switzerland

José Meseguer United States

Patrick Lincoln United States

Victor Vianu United States

Danfeng Yao United States

Michael Backes

1.4k ×0.5

AI

1.3k ×0.7

IS

1.6k ×1.0

SP

1.5k ×1.2

CNC

245 ×0.6

SPS

Citations per year, relative to Michael Backes Michael Backes (= 1×) peers Danfeng Yao

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-authorship network of co-authors of Michael Backes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Backes. A scholar is included among the top collaborators of Michael Backes 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 Michael Backes. Michael Backes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Boyang, et al.. (2025). Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. 34952–34964. 1 indexed citations

2.

Goldoni, P., W. Max-Moerbeck, E. Kasai, et al.. (2025). Optical spectroscopy of blazars for the Cherenkov Telescope Array Observatory – IV. Astronomy and Astrophysics. 704. A190–A190.

3.

Wen, Rui, Michael Backes, & Yang Zhang. (2025). Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?.

4.

Boisson, C., S. Pita, F. D’Ammando, et al.. (2024). Hidden by a star: The redshift and the offset broad line of the flat-spectrum radio quasar PKS 0903–57. Astronomy and Astrophysics. 691. L5–L5. 2 indexed citations

5.

Huang, Hai, Zhengyu Zhao, Michael Backes, Yun Shen, & Yang Zhang. (2024). Composite Backdoor Attacks Against Large Language Models. 1459–1472. 10 indexed citations

6.

Grosse, Kathrin, Taesung Lee, Battista Biggio, et al.. (2022). Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. Computers & Security. 120. 102814–102814. 9 indexed citations

7.

Goldoni, P., S. Pita, W. Max-Moerbeck, et al.. (2021). Optical spectroscopy of blazars for the Cherenkov Telescope Array. Springer Link (Chiba Institute of Technology). 3 indexed citations

8.

Cotter, Garret, et al.. (2021). Astrotourism for development in Namibia — dark sky education and heritage. ePrints Soton (University of Southampton). 53(1). 2 indexed citations

9.

Davids, I. D., M. Böttcher, & Michael Backes. (2019). Centaurus A: Hard X-ray and High-Energy Gamma-Ray Light Curve Correlation. Galaxies. 7(2). 44–44. 1 indexed citations

10.

Shirazi, Fatemeh, et al.. (2018). A Survey on Routing in Anonymous Communication Protocols. ACM Computing Surveys. 51(3). 1–39. 45 indexed citations

11.

Backes, Michael, Cornelia Müller, J. E. Conway, et al.. (2017). The African Millimetre Telescope. Radboud Repository (Radboud University). 29–29. 6 indexed citations

12.

Backes, Michael, et al.. (2017). ARTist: The Android Runtime Instrumentation and Security Toolkit. 481–495. 41 indexed citations

13.

Acar, Yasemin, Michael Backes, Sascha Fahl, et al.. (2017). Comparing the Usability of Cryptographic APIs. 154–171. 117 indexed citations

14.

Backes, Michael, et al.. (2013). Delegatable Functional Signatures. IACR Cryptology ePrint Archive. 2 indexed citations

15.

Aleksić, J., L. A. Antonelli, P. Antoranz, et al.. (2012). Constraining Cosmic Rays and Magnetic Fields in the Perseus Galaxy Cluster with TeV observations by the MAGIC telescopes. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 40 indexed citations

16.

Backes, Michael, et al.. (2011). A Security API for Distributed Social Networks.. Network and Distributed System Security Symposium. 30 indexed citations

17.

Aleksić, J., H. Anderhub, L. A. Antonelli, et al.. (2010). MAGIC observation of the GRB 080430 afterglow \n. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 10 indexed citations

18.

Backes, Michael, Peter Druschel, Andreas Haeberlen, & Dominique Unruh. (2009). CSAR : A Practical and Probable Technique to Make Randomized Systems Accountable. Max Planck Digital Library. 341–353. 13 indexed citations

19.

Göebel, F., Michael Backes, T. Bretz, et al.. (2008). Long term monitoring of bright TeV Blazars with the MAGIC telescope. RWTH Publications (RWTH Aachen). 3. 1025–1028. 1 indexed citations

20.

Backes, Michael, T. Bretz, F. Göebel, et al.. (2007). Long term monitoring of bright TeV Blazars with the MAGIC Telescope. 328(7). 677.

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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