Christian Gehl

673 total citations
6 papers, 386 citations indexed

About

Christian Gehl is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Christian Gehl has authored 6 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Christian Gehl's work include Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Malware Detection Techniques (2 papers). Christian Gehl is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Malware Detection Techniques (2 papers). Christian Gehl collaborates with scholars based in Germany and United States. Christian Gehl's co-authors include Pavel Laskov, Klaus‐Robert Müller, Marius Popescu, Cristian Grozea, Sven Dietrich, Ulrich Flegel, Michael Meier, Konrad Rieck, Tammo Krueger and Marius Kloft and has published in prestigious journals such as Journal of Machine Learning Research, International Journal of Information Security and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Christian Gehl

6 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Gehl Germany	5	284	127	86	80	52	6	386
Yenumula B. Reddy United States	12	62 0.2×	241 1.9×	103 1.2×	70 0.9×	104 2.0×	63	451
R. Venkatesh India	10	89 0.3×	62 0.5×	58 0.7×	41 0.5×	101 1.9×	75	321
Kai Zhou United States	12	204 0.7×	97 0.8×	76 0.9×	88 1.1×	132 2.5×	53	412
Yulong Fu China	9	170 0.6×	249 2.0×	112 1.3×	19 0.2×	59 1.1×	15	350
Norbert Tihanyi United Arab Emirates	8	137 0.5×	183 1.4×	85 1.0×	23 0.3×	105 2.0×	31	383
Alvaro Cintas Canto United States	10	153 0.5×	83 0.7×	30 0.3×	58 0.7×	81 1.6×	13	276
Ali Miri Canada	12	279 1.0×	399 3.1×	102 1.2×	59 0.7×	64 1.2×	31	572
Erez Karpas Israel	14	513 1.8×	159 1.3×	25 0.3×	155 1.9×	11 0.2×	60	620
Youngsoo Kim South Korea	13	180 0.6×	377 3.0×	194 2.3×	53 0.7×	109 2.1×	41	500
Muhammad Shahid Saeed China	10	180 0.6×	239 1.9×	93 1.1×	27 0.3×	94 1.8×	13	414

Countries citing papers authored by Christian Gehl

Since Specialization

Citations

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

Fields of papers citing papers by Christian Gehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Gehl

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

All Works

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6 of 6 papers shown

1.

Gehl, Christian, et al.. (2016). Detecting zero-day attacks using context-aware anomaly detection at the application-layer. International Journal of Information Security. 16(5). 475–490. 49 indexed citations

2.

Krueger, Tammo, Christian Gehl, Konrad Rieck, & Pavel Laskov. (2010). TokDoc. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1846–1853. 26 indexed citations

3.

Grozea, Cristian, et al.. (2009). ENCOPLOT: Pairwise Sequence Matching in Linear Time Applied to Plagiarism Detection ∗. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 73 indexed citations

4.

Kloft, Marius, et al.. (2008). Automatic feature selection for anomaly detection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 71–76. 30 indexed citations

5.

Krueger, Tammo, Christian Gehl, Konrad Rieck, & Pavel Laskov. (2008). An Architecture for Inline Anomaly Detection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11–18. 4 indexed citations

6.

Laskov, Pavel, et al.. (2006). Incremental Support Vector Learning: Analysis, Implementation and Applications. Journal of Machine Learning Research. 7(69). 1909–1936. 204 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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