Jan Göbel

450 total citations
15 papers, 262 citations indexed

About

Jan Göbel is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Jan Göbel has authored 15 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Jan Göbel's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Spam and Phishing Detection (5 papers). Jan Göbel is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Spam and Phishing Detection (5 papers). Jan Göbel collaborates with scholars based in Germany. Jan Göbel's co-authors include Thorsten Holz, Felix Freiling, Philipp Trinius, Ingo Sieber, Gert G. Wagner, Peter Krause, Ben Stock, Jacob Carstensen, Carsten Willems and Justus van Beusekom and has published in prestigious journals such as AStA Wirtschafts- und Sozialstatistisches Archiv, Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) and MADOC (University of Mannheim).

In The Last Decade

Jan Göbel

14 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Göbel Germany 6 115 110 75 62 53 15 262
Aleksandra Pawlicka Poland 11 46 0.4× 40 0.4× 71 0.9× 97 1.6× 64 1.2× 41 237
Sang-Wook Kim South Korea 10 141 1.2× 24 0.2× 27 0.4× 109 1.8× 32 0.6× 31 305
Evan Saltzman United States 8 56 0.5× 21 0.2× 36 0.5× 83 1.3× 13 0.2× 36 256
Paulo Marques Portugal 11 175 1.5× 20 0.2× 82 1.1× 107 1.7× 31 0.6× 40 274
Stansfield Turner 6 60 0.5× 46 0.4× 98 1.3× 65 1.0× 83 1.6× 15 241
Weiren Wang United States 6 44 0.4× 37 0.3× 61 0.8× 27 0.4× 23 0.4× 13 293
Mark D. Jacobs United States 8 143 1.2× 88 0.8× 10 0.1× 149 2.4× 83 1.6× 20 291
Cédric Hébert Italy 6 48 0.4× 13 0.1× 34 0.5× 75 1.2× 66 1.2× 13 215
Jie Lei China 12 18 0.2× 82 0.7× 79 1.1× 12 0.2× 69 1.3× 28 361
Matthias Westphal Germany 8 63 0.5× 48 0.4× 52 0.7× 3 0.0× 140 2.6× 17 249

Countries citing papers authored by Jan Göbel

Since Specialization
Citations

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

Fields of papers citing papers by Jan Göbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Göbel

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

All Works

15 of 15 papers shown
1.
Göbel, Jan, et al.. (2012). Pybox - a python sandbox. 137–148. 1 indexed citations
2.
Göbel, Jan, Andreas Dewald, & Felix Freiling. (2011). Client-Honeypots. Oldenbourg Wissenschaftsverlag eBooks. 1 indexed citations
3.
Göbel, Jan & Philipp Trinius. (2010). Towards Optimal Sensor Placement Strategies for Early Warning Systems. MADOC (University of Mannheim). 191–204. 3 indexed citations
4.
Göbel, Jan. (2010). Amun: automatic capturing of malicious software. MADOC (University of Mannheim). 177–190. 3 indexed citations
5.
Freiling, Felix, Jan Göbel, Thorsten Holz, et al.. (2010). The InMAS Approach. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 5 indexed citations
6.
Göbel, Jan, Ben Stock, Philipp Trinius, & Felix Freiling. (2010). Blacklisting Malicious Websites using Peer-to-Peer Technology. MADOC (University of Mannheim). 1 indexed citations
7.
Göbel, Jan, Andreas Dewald, & Felix Freiling. (2010). Client-Honeypots: Exploring Malicious Websites. 1 indexed citations
8.
Trinius, Philipp, Thorsten Holz, Jan Göbel, & Felix Freiling. (2009). Visual analysis of malware behavior using treemaps and thread graphs. 33–38. 70 indexed citations
9.
Stock, Ben, et al.. (2009). Walowdac - Analysis of a Peer-to-Peer Botnet. 51 indexed citations
10.
Beusekom, Justus van, et al.. (2009). Eutrophication. Thematic Report No. 6. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 6 indexed citations
11.
Göbel, Jan. (2009). Amun : a python honeypot. MADOC (University of Mannheim). 4 indexed citations
12.
Göbel, Jan, Thorsten Holz, & Philipp Trinius. (2009). Towards Proactive SPAM Filtering. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 6 indexed citations
13.
Göbel, Jan, et al.. (2009). Mail-Shake. 43–47.
15.
Göbel, Jan, et al.. (2006). Advanced honeypot-based intrusion detection. 31(6). 17–25. 4 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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