André Bergholz

465 citations
16 papers · 373 · h-index 8

Impact in

    • Spam and Phishing Detection
    • Web Data Mining and Analysis
    • User Authentication and Security Systems
    • Advanced Malware Detection Techniques

Papers in

    • Spam and Phishing Detection 6
    • Web Data Mining and Analysis 4
    • Internet Traffic Analysis and Secure E-voting 4
    • Algorithms and Data Compression 3
    • Topic Modeling 2
    • Natural Language Processing Techniques 2
    • Text and Document Classification Technologies 2

André Bergholz

16 papers receiving 337 citations

Peers

André Bergholz
Comparison fields: 5 of 40
  • Information Systems 320
  • Signal Processing 128
  • Computer Networks and Communications 133
  • Artificial Intelligence 170
  • Information Systems and Management 8
Replace Maher Aburrous with:
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Lukas C. Faulstich Germany
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Citations per field
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Citations per year

Countries citing papers authored by André Bergholz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with André Bergholz Line = papers co-authored together André Bergholz links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010129
2
Improved Phishing Detection using Model-Based Features.
2008107
3 200455
4
Crawling for Domain-Speci.c Hidden Web Resources
200318
5 201216
6 200015
7
Detecting Known and New Salting Tricks in Unwanted Emails.
20089
8 20047
9 20014
10 20043
11 20142
12 20002
13 20032
14 20092
15 20081
16 20021

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 16 papers that have together received 373 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Web Data Mining and Analysis (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Algorithms and Data Compression (3 papers), Advanced Database Systems and Queries (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Information Systems (320 citations), Signal Processing (128 citations), Computer Networks and Communications (133 citations), Artificial Intelligence (170 citations) and Information Systems and Management (8 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, Harald Sack, Jörg A. Schenk, Johann Christoph Freytag, Christian Fey, Ralf R. Kohler and Patrick Ndjiki-Nya. Their work appears in journals such as Acta Biotheoretica, Journal of Computer Security, Multimedia Tools and Applications, IEEE Internet Computing and Lecture notes in computer science.

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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