Brandon Enright
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 2%
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
- Information and Cyber Security
Papers in
-
- Network Security and Intrusion Detection 6
-
- Spam and Phishing Detection 4
- Information and Cyber Security 1
- Co-authors
- Stefan Savage (7 shared papers)Kirill Levchenko (6 shared papers)Geoffrey M. Voelker (6 shared papers)Chris Kanich (6 shared papers)Christian Kreibich (4 shared papers)Vern Paxson (4 shared papers)Scott Yilek (1 shared paper)Eric Rescorla (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Annual Computer Security Applications Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Brandon Enright
8 papers receiving 576 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 228
- Information Systems 423
- Computer Networks and Communications 362
- Artificial Intelligence 342
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Brandon Enright
This map shows the geographic impact of Brandon Enright'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 Brandon Enright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Enright more than expected).
Fields of papers citing papers by Brandon Enright
This network shows the impact of papers produced by Brandon Enright. 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 Brandon Enright. The network helps show where Brandon Enright may publish in the future.
Co-authors
The 10 scholars most cited alongside Brandon Enright, 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 | 2008 | 264 | |
| 2 | 2009 | 119 | |
| 3 | Spamcraft: an inside look at spam campaign orchestration | 2009 | 70 |
| 4 | On the spam campaign trail | 2008 | 63 |
| 5 | The heisenbot uncertainty problem: challenges in separating bots from chaff | 2008 | 60 |
| 6 | 2009 | 41 | |
| 7 | Crafting the InfoSec Playbook: Security Monitoring and Incident Response Master Plan | 2015 | 10 |
| 8 | Storm: when researchers collide | 2008 | 9 |
| 9 | 2023 | 0 |
About Brandon Enright
Brandon Enright is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 9 papers that have together received 636 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Scientific Computing and Data Management (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper), Electrostatic Discharge in Electronics (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Signal Processing (228 citations), Information Systems (423 citations), Computer Networks and Communications (362 citations), Artificial Intelligence (342 citations) and Computer Vision and Pattern Recognition (38 citations). Brandon Enright has collaborated with scholars based in United States. Frequent co-authors include Stefan Savage, Kirill Levchenko, Geoffrey M. Voelker, Chris Kanich, Christian Kreibich, Vern Paxson, Scott Yilek, Eric Rescorla, Hovav Shacham and David McGrew. Their work appears in journals such as Communications of the ACM and Annual Computer Security Applications Conference.
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.