Steven Gianvecchio

2.0k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Steven Gianvecchio is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Steven Gianvecchio has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 7 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Steven Gianvecchio's work include Advanced Malware Detection Techniques (10 papers), Spam and Phishing Detection (6 papers) and Network Security and Intrusion Detection (4 papers). Steven Gianvecchio is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Spam and Phishing Detection (6 papers) and Network Security and Intrusion Detection (4 papers). Steven Gianvecchio collaborates with scholars based in United States. Steven Gianvecchio's co-authors include Haining Wang, Sushil Jajodia, Zi Chu, Mengjun Xie and Zhenyu Wu and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Computer Networks and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Steven Gianvecchio

10 papers receiving 1.1k citations

Hit Papers

Detecting Automation of Twitter Accounts: Are You a Human... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Gianvecchio United States 9 648 536 417 400 386 10 1.1k
Alexandros Ntoulas United States 15 1.1k 1.7× 836 1.6× 249 0.6× 254 0.6× 466 1.2× 35 1.6k
Tiago Rodrigues Brazil 12 906 1.4× 547 1.0× 371 0.9× 177 0.4× 716 1.9× 20 1.6k
Muhammad Abulaish India 19 721 1.1× 762 1.4× 252 0.6× 249 0.6× 361 0.9× 101 1.3k
Liang Wu United States 17 539 0.8× 583 1.1× 604 1.4× 133 0.3× 95 0.2× 44 1.1k
Angelo Spognardi Italy 21 808 1.2× 457 0.9× 494 1.2× 491 1.2× 874 2.3× 49 1.5k
Yazan Boshmaf Canada 13 705 1.1× 335 0.6× 332 0.8× 387 1.0× 467 1.2× 23 1.0k
Orkut Buyukkokten United States 9 515 0.8× 243 0.5× 189 0.5× 84 0.2× 214 0.6× 12 902
Pranam Kolari United States 17 679 1.0× 527 1.0× 141 0.3× 136 0.3× 185 0.5× 32 1.0k
Krishna P. N. Puttaswamy United States 14 399 0.6× 415 0.8× 254 0.6× 61 0.2× 598 1.5× 25 1.2k
Conor Hayes Ireland 16 422 0.7× 379 0.7× 109 0.3× 76 0.2× 151 0.4× 77 808

Countries citing papers authored by Steven Gianvecchio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Steven Gianvecchio

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Gianvecchio. A scholar is included among the top collaborators of Steven Gianvecchio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Gianvecchio. Steven Gianvecchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Gianvecchio, Steven, et al.. (2015). Zeuslite: a tool for botnet analysis in the classroom. Journal of computing sciences in colleges. 30(3). 109–116. 2 indexed citations
2.
Chu, Zi, et al.. (2012). Blog or block: Detecting blog bots through behavioral biometrics. Computer Networks. 57(3). 634–646. 33 indexed citations
3.
Chu, Zi, Steven Gianvecchio, Haining Wang, & Sushil Jajodia. (2012). Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?. IEEE Transactions on Dependable and Secure Computing. 9(6). 811–824. 411 indexed citations breakdown →
4.
Gianvecchio, Steven, Mengjun Xie, Zhenyu Wu, & Haining Wang. (2011). Humans and Bots in Internet Chat: Measurement, Analysis, and Automated Classification. IEEE/ACM Transactions on Networking. 19(5). 1557–1571. 41 indexed citations
5.
Wu, Zhenyu, Steven Gianvecchio, Mengjun Xie, & Haining Wang. (2010). Mimimorphism. 536–546. 34 indexed citations
6.
Chu, Zi, Steven Gianvecchio, Haining Wang, & Sushil Jajodia. (2010). Who is tweeting on Twitter. 21–30. 297 indexed citations
7.
Gianvecchio, Steven & Haining Wang. (2010). An Entropy-Based Approach to Detecting Covert Timing Channels. IEEE Transactions on Dependable and Secure Computing. 8(6). 785–797. 96 indexed citations
8.
Gianvecchio, Steven, Zhenyu Wu, Mengjun Xie, & Haining Wang. (2009). Battle of Botcraft. 256–268. 53 indexed citations
9.
Gianvecchio, Steven, Mengjun Xie, Zhenyu Wu, & Haining Wang. (2008). Measurement and classification of humans and bots in internet chat. USENIX Security Symposium. 155–169. 57 indexed citations
10.
Gianvecchio, Steven & Haining Wang. (2007). Detecting covert timing channels. 307–316. 118 indexed citations

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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