Markus Jakobsson

11.5k citations
80 papers · 3.8k indexed · 2 hit papers · h-index 29
Topics
Internet Traffic Analysis and Secure E-voting (27 papers)Spam and Phishing Detection (25 papers)Advanced Malware Detection Techniques (24 papers)

In The Last Decade

Markus Jakobsson

76 papers receiving 3.3k citations

Hit Papers

Social phishing200720262013201920072009200400600

Peers

Markus Jakobsson
Comparison fields: 5 of 82
  • Information Systems 2.2k
  • Artificial Intelligence 1.7k
  • Computer Networks and Communications 1.4k
  • Signal Processing 818
  • Sociology and Political Science 676
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Countries citing papers authored by Markus Jakobsson

Since Specialization
Citations

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

Fields of papers citing papers by Markus Jakobsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Jakobsson

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Jakobsson. A scholar is included among the top collaborators of Markus Jakobsson 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 Markus Jakobsson. Markus Jakobsson 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 1
2
Retroactive detection of malware with applications to mobile platforms
27
3 3
4
Assured Detection of Malware With Applications to Mobile Platforms
4
5
Implicit authentication for mobile devices
143
6
The Threat of Political Phishing.
3
7 3
8 75
9 4
10 28
11 8
12
Fuelling WiFi deployment: A reputation-based solution
7
13
Secure and Privacy-Preserving Communication in Hybrid Ad Hoc Networks
36
14
A Charging and Rewarding Scheme for Packet Forwarding
31
15 16
16 179
17
Making Mix Nets Robust For Electronic Voting By Randomized Partial Checking.
163
18
Proofs of Work and Bread Pudding Protocols
158
19
Abuse-free optimistic contract signing
15
20
Millimix: Mixing in Small Batches
36

About Markus Jakobsson

Markus Jakobsson is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 80 papers that have together received 3.8k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (27 papers), Spam and Phishing Detection (25 papers) and Advanced Malware Detection Techniques (24 papers). The work is most often cited by research in Information Systems (2.2k citations), Signal Processing (818 citations) and Computer Networks and Communications (1.4k citations). Markus Jakobsson has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Ari Juels, Filippo Menczer, Philippe Golle, Richard Chow, Elaine Shi, Jean‐Pierre Hubaux, Naouel Ben Salem, Jesús Molina, Ryusuke Masuoka and Susanne Wetzel. Their work appears in journals such as Communications of the ACM, Computer Networks and IEEE Transactions on Mobile Computing.

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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