Sid Stamm

724 citations
17 papers · 470 · h-index 9

Impact in

    • Advanced Malware Detection Techniques
    • Spam and Phishing Detection
    • Web Application Security Vulnerabilities
    • User Authentication and Security Systems

Papers in

Sid Stamm

15 papers receiving 421 citations

Peers

Sid Stamm
Comparison fields: 5 of 35
  • Signal Processing 196
  • Information Systems 358
  • Artificial Intelligence 278
  • Computer Networks and Communications 144
  • Computer Science Applications 13
Replace Kevin Borgolte with:
Kevin Borgolte United States
Kevin Borders United States
Emily Stark United States
TJ OConnor United States
Andrew Bortz United States
Haitao Xu China
Tingmin Wu Australia
Gauri Jain India
Warren He United States
Claudio Marforio Switzerland
Sid Stamm relative to Kevin Borgolte United States Kevin Borgolte's profile →
Citations per field
00.5×1.7×
Kevin Borgolte · 1×
Citations per year

Countries citing papers authored by Sid Stamm

Since Specialization
Citations

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

Fields of papers citing papers by Sid Stamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sid Stamm, 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 Sid Stamm Line = papers co-authored together Sid Stamm links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010146
2 201285
3 200765
4 200644
5
Combating click fraud via premium clicks
200735
6 200728
7 200720
8 201613
9 20089
10
Do Not Track: A Universal Third-Party Web Tracking Opt Out
20118
11 20047
12 20114
13 20232
14
Privacy-Preserving Polling using Playing Cards.
20052
15 20081
16 20081
17 20210

About Sid Stamm

Sid Stamm is a scholar working on Information Systems, Media Technology, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 470 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers), Web Application Security Vulnerabilities (3 papers), Security and Verification in Computing (2 papers), Teaching and Learning Programming (2 papers) and Information Systems Education and Curriculum Development (2 papers). The work is most often cited by research in Signal Processing (196 citations), Information Systems (358 citations), Artificial Intelligence (278 citations), Computer Networks and Communications (144 citations) and Computer Science Applications (13 citations). Sid Stamm has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Markus Jakobsson, Christopher Soghoian, Zulfikar Ramzan, Ari Juels, Stefan Brunthaler, Arvind Narayanan, Nicholas Paul Sheppard, Reihaneh Safavi–Naini, Jonathan R. Mayer and Steve Myers. Their work appears in journals such as IEEE Security & Privacy, Journal of Refugee Studies, Lecture notes in computer science, Electronic Notes in Theoretical Computer Science and Rose-Hulman Scholar (Rose–Hulman Institute 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.

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