Eric Nunes
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
- Information and Cyber Security
Papers in
-
- Cybercrime and Law Enforcement Studies 10
- Spam and Phishing Detection 8
- Information and Cyber Security 4
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- Advanced Malware Detection Techniques 9
- Co-authors
- Paulo Shakarian (16 shared papers)Jana Shakarian (5 shared papers)Gerardo I. Simari (6 shared papers)John Robertson (1 shared paper)Ali Zand (1 shared paper)Kurt Thomas (1 shared paper)Gail‐Joon Ahn (1 shared paper)Penghui Zhang (1 shared paper)
- Journals
- SpringerBriefs in computer science (1 paper)Cambridge University Press eBooks (2 papers)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesArgentinaSaudi Arabia
In The Last Decade
Eric Nunes
16 papers receiving 216 citations
Peers
Comparison fields: 5 of 25
- Signal Processing 114
- Information Systems 195
- Computer Networks and Communications 104
- Software 8
- Artificial Intelligence 42
Countries citing papers authored by Eric Nunes
This map shows the geographic impact of Eric Nunes'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 Eric Nunes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Nunes more than expected).
Fields of papers citing papers by Eric Nunes
This network shows the impact of papers produced by Eric Nunes. 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 Eric Nunes. The network helps show where Eric Nunes may publish in the future.
Co-authors
The 16 scholars most cited alongside Eric Nunes, 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 | 2017 | 51 | |
| 2 | 2017 | 43 | |
| 3 | Sunrise to Sunset: Analyzing the End-to-end Life Cycle and Effectiveness of Phishing Attacks at Scale | 2020 | 36 |
| 4 | 2017 | 20 | |
| 5 | 2018 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2016 | 8 | |
| 9 | 2018 | 7 | |
| 10 | Malware identification using cognitively-inspired inference | 2015 | 4 |
| 11 | 2018 | 4 | |
| 12 | Toward argumentation-based cyber attribution | 2016 | 3 |
| 13 | 2021 | 3 | |
| 14 | Functional cognitive models of malware identification | 2015 | 3 |
| 15 | 2015 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2017 | 0 |
About Eric Nunes
Eric Nunes is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science, having authored 17 papers that have together received 233 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (10 papers), Advanced Malware Detection Techniques (9 papers), Spam and Phishing Detection (8 papers), Information and Cyber Security (4 papers), Network Security and Intrusion Detection (3 papers), Hate Speech and Cyberbullying Detection (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Crime Patterns and Interventions (1 paper). The work is most often cited by research in Signal Processing (114 citations), Information Systems (195 citations), Computer Networks and Communications (104 citations), Software (8 citations) and Artificial Intelligence (42 citations). Eric Nunes has collaborated with scholars based in United States, Argentina and Saudi Arabia. Frequent co-authors include Paulo Shakarian, Jana Shakarian, Gerardo I. Simari, John Robertson, Ali Zand, Kurt Thomas, Gail‐Joon Ahn, Penghui Zhang, Alexander Grimm and Adam Oest. Their work appears in journals such as SpringerBriefs in computer science, Cambridge University Press eBooks and National Conference on Artificial Intelligence.
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.