Kevin Borgolte
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Network Security and Intrusion Detection 8
- Wireless Networks and Protocols 2
-
- Advanced Malware Detection Techniques 5
- Co-authors
- Giovanni VignaChristopher KruegelTobias FiebigShuang HaoKatharina KrombholzNick FeamsterPaul SchmittYan Shoshitaishvili
- Journals
- IEEE Security & Privacy (1 paper)Genetics Selection Evolution (1 paper)Government Information Quarterly (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Research Repository (Delft University of Technology) (3 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Kevin Borgolte
21 papers receiving 346 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 132
- Computer Networks and Communications 199
- Information Systems 192
- Artificial Intelligence 165
- Software 13
Countries citing papers authored by Kevin Borgolte
This map shows the geographic impact of Kevin Borgolte'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 Kevin Borgolte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Borgolte more than expected).
Fields of papers citing papers by Kevin Borgolte
This network shows the impact of papers produced by Kevin Borgolte. 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 Kevin Borgolte. The network helps show where Kevin Borgolte may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Borgolte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 5 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 28 | |
| 10 | Identifying and Preventing Large-scale Internet Abuse | 2018 | 0 |
| 11 | 2018 | 14 | |
| 12 | 2018 | 51 | |
| 13 | 2018 | 22 | |
| 14 | 2015 | 13 | |
| 15 | Meerkat: detecting website defacements through image-based object recognition | 2015 | 39 |
| 16 | Ten Years of iCTF: The Good, The Bad, and The Ugly | 2014 | 34 |
| 17 | Protecting Web Single Sign-on against Relying Party Impersonation Attacks through a Bi-directional Secure Channel with Authentication | 2014 | 3 |
| 18 | 2014 | 16 | |
| 19 | 2014 | 6 | |
| 20 | 2013 | 43 |
About Kevin Borgolte
Kevin Borgolte is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Software, having authored 22 papers that have together received 359 indexed citations. Recurring topics across this work include Spam and Phishing Detection (8 papers), Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Advanced Malware Detection Techniques (5 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Web Data Mining and Analysis (2 papers), Wireless Networks and Protocols (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Signal Processing (132 citations), Computer Networks and Communications (199 citations), Information Systems (192 citations), Artificial Intelligence (165 citations) and Software (13 citations). Kevin Borgolte has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Giovanni Vigna, Christopher Kruegel, Tobias Fiebig, Shuang Hao, Katharina Krombholz, Nick Feamster, Paul Schmitt, Yan Shoshitaishvili, Dhilung Kirat and Adam Doupé. Their work appears in journals such as IEEE Security & Privacy, Genetics Selection Evolution, Government Information Quarterly, IEEE Transactions on Information Forensics and Security and Research Repository (Delft University of Technology).
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.