Mathias Humbert

1.8k citations
44 papers · 751 · h-index 17

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Adversarial Robustness in Machine Learning
    • Advanced Graph Neural Networks
    • Human Mobility and Location-Based Analysis

Papers in

Mathias Humbert

42 papers receiving 720 citations

Peers

Mathias Humbert
Comparison fields: 5 of 69
  • Artificial Intelligence 545
  • Transportation 67
  • Computer Science Applications 47
  • Information Systems 121
  • Health Informatics 7
Replace Raymond Heatherly with:
Raymond Heatherly United States
Kévin Huguenin Switzerland
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Chengjie Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Mathias Humbert

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Humbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201380
2 201777
3 201676
4 201963
5 202260
6 201658
7 201535
8 201924
9 201724
10 202123
11 201423
12 201820
13 201019
14 202418
15 201717
16 201717
17 202116
18 201814
19 201813
20
Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles
201612

About Mathias Humbert

Mathias Humbert is a scholar working on Artificial Intelligence, Sociology and Political Science, Molecular Biology, Information Systems and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 751 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (22 papers), Privacy, Security, and Data Protection (15 papers), Epigenetics and DNA Methylation (8 papers), Ethics in Clinical Research (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Human Mobility and Location-Based Analysis (4 papers), Innovative Human-Technology Interaction (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Artificial Intelligence (545 citations), Transportation (67 citations), Computer Science Applications (47 citations), Information Systems (121 citations) and Health Informatics (7 citations). Mathias Humbert has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michael Backes, Jean‐Pierre Hubaux, Kévin Huguenin, Erman Ayday, Pascal Berrang, Amalio Telenti, Jun Pang, Praveen Manoharan, Yang Zhang and Tianhao Wang. Their work appears in journals such as ACM Transactions on Privacy and Security, ACM Computing Surveys, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Mobile Computing and Business & Information Systems Engineering.

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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