Steven Gianvecchio
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Information Systems top 1%
- Spam and Phishing Detection
Papers in ⓘ
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- Advanced Malware Detection Techniques 10
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- Spam and Phishing Detection 6
- User Authentication and Security Systems 2
- Co-authors
- Haining Wang (9 shared papers)Zi Chu (3 shared papers)Sushil Jajodia (3 shared papers)Mengjun Xie (4 shared papers)Zhenyu Wu (4 shared papers)
- Journals
- IEEE Transactions on Dependable and Secure Computing (2 papers)Computer Networks (1 paper)IEEE/ACM Transactions on Networking (1 paper)Journal of computing sciences in colleges (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Steven Gianvecchio
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Signal Processing 400
- Information Systems 648
- Computer Networks and Communications 386
- Artificial Intelligence 536
- Communication 112
Countries citing papers authored by Steven Gianvecchio
This map shows the geographic impact of Steven Gianvecchio'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 Steven Gianvecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Gianvecchio more than expected).
Fields of papers citing papers by Steven Gianvecchio
This network shows the impact of papers produced by Steven Gianvecchio. 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 Steven Gianvecchio. The network helps show where Steven Gianvecchio may publish in the future.
Co-authors
The 5 scholars most cited alongside Steven Gianvecchio, 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 | Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? Hit paper breakdown → | 2012 | 411 |
| 2 | 2010 | 297 | |
| 3 | 2007 | 118 | |
| 4 | 2010 | 96 | |
| 5 | Measurement and classification of humans and bots in internet chat | 2008 | 57 |
| 6 | 2009 | 53 | |
| 7 | 2011 | 41 | |
| 8 | 2010 | 34 | |
| 9 | 2012 | 33 | |
| 10 | Zeuslite: a tool for botnet analysis in the classroom | 2015 | 2 |
About Steven Gianvecchio
Steven Gianvecchio is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Sociology and Political Science and Artificial Intelligence, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Spam and Phishing Detection (6 papers), Network Security and Intrusion Detection (4 papers), Misinformation and Its Impacts (2 papers), Adversarial Robustness in Machine Learning (2 papers), User Authentication and Security Systems (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Smart Grid Security and Resilience (1 paper). The work is most often cited by research in Signal Processing (400 citations), Information Systems (648 citations), Computer Networks and Communications (386 citations), Artificial Intelligence (536 citations) and Communication (112 citations). Steven Gianvecchio has collaborated with scholars based in United States. Frequent co-authors include Haining Wang, Zi Chu, Sushil Jajodia, Mengjun Xie and Zhenyu Wu. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Computer Networks, IEEE/ACM Transactions on Networking, Journal of computing sciences in colleges and USENIX Security Symposium.
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.