André Bergholz
Impact in
- Information Systems top 2%
- Spam and Phishing Detection
- Web Data Mining and Analysis
- User Authentication and Security Systems
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Spam and Phishing Detection 5
- Web Data Mining and Analysis 3
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- Algorithms and Data Compression 3
- Internet Traffic Analysis and Secure E-voting 3
- Text and Document Classification Technologies 2
- Co-authors
- Gerhard Paaß (3 shared papers)Marie‐Francine Moens (2 shared papers)Jeong Ho Chang (1 shared paper)Boris Chidlovskii (2 shared papers)Johann Christoph Freytag (2 shared papers)Christian Fey (1 shared paper)Jörg Waitelonis (1 shared paper)Patrick Ndjiki-Nya (1 shared paper)
- Journals
- IEEE Internet Computing (1 paper)Acta Biotheoretica (1 paper)Multimedia Tools and Applications (1 paper)Journal of Computer Security (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
André Bergholz
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 41
- Information Systems 266
- Signal Processing 111
- Computer Networks and Communications 109
- Artificial Intelligence 143
- Information Systems and Management 6
Countries citing papers authored by André Bergholz
This map shows the geographic impact of André Bergholz'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 André Bergholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Bergholz more than expected).
Fields of papers citing papers by André Bergholz
This network shows the impact of papers produced by André Bergholz. 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 André Bergholz. The network helps show where André Bergholz may publish in the future.
Co-authors
The 11 scholars most cited alongside André Bergholz, 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 | 2010 | 116 | |
| 2 | Improved Phishing Detection using Model-Based Features. | 2008 | 93 |
| 3 | 2004 | 48 | |
| 4 | 2000 | 14 | |
| 5 | Crawling for Domain-Speci.c Hidden Web Resources | 2003 | 13 |
| 6 | 2012 | 12 | |
| 7 | Detecting Known and New Salting Tricks in Unwanted Emails. | 2008 | 6 |
| 8 | 2001 | 4 | |
| 9 | 2004 | 3 | |
| 10 | 2009 | 1 | |
| 11 | 2002 | 0 |
About André Bergholz
André Bergholz is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Molecular Biology, having authored 11 papers that have together received 310 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Web Data Mining and Analysis (3 papers), Algorithms and Data Compression (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Text and Document Classification Technologies (2 papers), Machine Learning in Bioinformatics (1 paper), Caching and Content Delivery (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Information Systems (266 citations), Signal Processing (111 citations), Computer Networks and Communications (109 citations), Artificial Intelligence (143 citations) and Information Systems and Management (6 citations). André Bergholz has collaborated with scholars based in Germany, France and Belgium. Frequent co-authors include Gerhard Paaß, Marie‐Francine Moens, Jeong Ho Chang, Boris Chidlovskii, Johann Christoph Freytag, Christian Fey, Jörg Waitelonis, Patrick Ndjiki-Nya, Harald Sack and Ralf R. Kohler. Their work appears in journals such as IEEE Internet Computing, Acta Biotheoretica, Multimedia Tools and Applications, Journal of Computer Security and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.