Steven Gianvecchio
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Information Systems top 1%
- Spam and Phishing Detection
Papers in
-
- Advanced Malware Detection Techniques 13
-
- Spam and Phishing Detection 7
- User Authentication and Security Systems 3
- Software Engineering Research 1
- Co-authors
- Haining Wang (11 shared papers)Sushil Jajodia (4 shared papers)Zhenyu Wu (4 shared papers)Mengjun Xie (4 shared papers)Duminda Wijesekera (1 shared paper)Ken Smith (1 shared paper)
- Journals
- IEEE Transactions on Dependable and Secure Computing (2 papers)Computer Networks (1 paper)IEEE/ACM Transactions on Networking (1 paper)Lecture notes in computer science (2 papers)Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Steven Gianvecchio
13 papers receiving 1.4k citations
Steven Gianvecchio's Hit Papers
Peers
Comparison fields: 5 of 68
- Signal Processing 524
- Information Systems 808
- Artificial Intelligence 772
- Computer Networks and Communications 530
- Communication 132
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 6 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 | 487 |
| 2 | Who is tweeting on Twitter Hit paper breakdown → | 2010 | 377 |
| 3 | 2007 | 141 | |
| 4 | 2008 | 115 | |
| 5 | 2010 | 108 | |
| 6 | Measurement and classification of humans and bots in internet chat | 2008 | 67 |
| 7 | 2009 | 64 | |
| 8 | 2010 | 43 | |
| 9 | 2011 | 42 | |
| 10 | 2012 | 41 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 5 | |
| 13 | 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, Artificial Intelligence and Sociology and Political Science, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Spam and Phishing Detection (7 papers), Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), User Authentication and Security Systems (3 papers), Adversarial Robustness in Machine Learning (2 papers), Misinformation and Its Impacts (2 papers) and Software Engineering Research (1 paper). The work is most often cited by research in Signal Processing (524 citations), Information Systems (808 citations), Artificial Intelligence (772 citations), Computer Networks and Communications (530 citations) and Communication (132 citations). Steven Gianvecchio has collaborated with scholars based in United States. Frequent co-authors include Haining Wang, Sushil Jajodia, Zhenyu Wu, Mengjun Xie, Duminda Wijesekera and Ken Smith. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Computer Networks, IEEE/ACM Transactions on Networking, Lecture notes in computer science and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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.