Johan Mazel

670 total citations
17 papers, 369 citations indexed

About

Johan Mazel is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Johan Mazel has authored 17 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Johan Mazel's work include Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Johan Mazel is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Johan Mazel collaborates with scholars based in Japan, France and Austria. Johan Mazel's co-authors include Pedro Casas, Philippe Owezarski, Kensuke Fukuda, Romain Fontugne and Yann Labit and has published in prestigious journals such as IEEE Network, Computer Communications and IEEE Transactions on Network and Service Management.

In The Last Decade

Johan Mazel

17 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Johan Mazel Japan	10	310	288	114	61	27	17	369
Max Schuchard United States	10	270 0.9×	221 0.8×	68 0.6×	29 0.5×	11 0.4×	17	320
Lee Feinstein United States	4	338 1.1×	283 1.0×	143 1.3×	28 0.5×	37 1.4×	7	418
Bernhard Tellenbach Switzerland	8	234 0.8×	182 0.6×	79 0.7×	119 2.0×	28 1.0×	17	326
Philipp Winter United States	9	319 1.0×	385 1.3×	124 1.1×	94 1.5×	50 1.9×	18	450
Pubali Datta United States	6	175 0.6×	119 0.4×	132 1.2×	134 2.2×	16 0.6×	11	297
Jérôme François France	10	298 1.0×	238 0.8×	209 1.8×	220 3.6×	38 1.4×	39	447
Terrance Goan United States	5	276 0.9×	163 0.6×	126 1.1×	62 1.0×	12 0.4×	13	329
Daniela Brauckhoff Switzerland	7	249 0.8×	239 0.8×	52 0.5×	45 0.7×	8 0.3×	8	286
Abbas Ghaemi Bafghi Iran	9	163 0.5×	110 0.4×	71 0.6×	127 2.1×	30 1.1×	31	249

Countries citing papers authored by Johan Mazel

Since Specialization

Citations

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

Fields of papers citing papers by Johan Mazel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Mazel

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

All Works

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17 of 17 papers shown

Mazel, Johan, et al.. (2021). CNAME Cloaking-Based Tracking on the Web: Characterization, Detection, and Protection. IEEE Transactions on Network and Service Management. 18(3). 3873–3888. 12 indexed citations

Mazel, Johan, et al.. (2019). A comparison of web privacy protection techniques. Computer Communications. 144. 162–174. 23 indexed citations

Mazel, Johan, et al.. (2018). Understanding abusive web resources. 54–61. 1 indexed citations

Mazel, Johan, Romain Fontugne, & Kensuke Fukuda. (2017). Profiling internet scanners: Spatiotemporal structures and measurement ethics. 1–9. 9 indexed citations

Mazel, Johan, Romain Fontugne, & Kensuke Fukuda. (2016). Identifying Coordination of Network Scans Using Probed Address Structure.. 3 indexed citations

Fontugne, Romain, Johan Mazel, & Kensuke Fukuda. (2016). Characterizing Roles and Spatio-Temporal Relations of C&C Servers in Large-Scale Networks. 12–23. 2 indexed citations

Mazel, Johan, Pedro Casas, Romain Fontugne, Kensuke Fukuda, & Philippe Owezarski. (2015). Hunting attacks in the dark: clustering and correlation analysis for unsupervised anomaly detection. International Journal of Network Management. 25(5). 283–305. 21 indexed citations

Fontugne, Romain, Johan Mazel, & Kensuke Fukuda. (2015). An empirical mixture model for large-scale RTT measurements. 2470–2478. 12 indexed citations

Mazel, Johan, Romain Fontugne, & Kensuke Fukuda. (2014). A taxonomy of anomalies in backbone network traffic. 30–36. 29 indexed citations

10.

Fontugne, Romain, Johan Mazel, & Kensuke Fukuda. (2014). Hashdoop: A MapReduce framework for network anomaly detection. 494–499. 35 indexed citations

11.

Mazel, Johan, Romain Fontugne, & Kensuke Fukuda. (2014). Visual comparison of network anomaly detectors with chord diagrams. 473–480. 6 indexed citations

12.

Casas, Pedro, Johan Mazel, & Philippe Owezarski. (2012). Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge. Computer Communications. 35(7). 772–783. 161 indexed citations

13.

Casas, Pedro, Johan Mazel, & Philippe Owezarski. (2012). Knowledge-independent traffic monitoring: Unsupervised detection of network attacks. IEEE Network. 26(1). 13–21. 13 indexed citations

14.

Casas, Pedro, Johan Mazel, & Philippe Owezarski. (2011). MINETRAC: mining flows for unsupervised analysis & semi-supervised classification. 87–94. 18 indexed citations

15.

Mazel, Johan, Pedro Casas, Yann Labit, & Philippe Owezarski. (2011). Sub-space clustering, inter-clustering results association & anomaly correlation for unsupervised network anomaly detection. 73–80. 17 indexed citations

16.

Casas, Pedro, Johan Mazel, & Philippe Owezarski. (2011). On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification. 3. 1016–1021. 1 indexed citations

17.

Labit, Yann & Johan Mazel. (2008). HIDDEN: Hausdorff Distance Based Intrusion Detection Approach DEdicated to Networks. 11–16. 6 indexed citations

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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