Igor Santos
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Software top 2%
- Software Testing and Debugging Techniques
Papers in
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- Internet Traffic Analysis and Secure E-voting 12
- Topic Modeling 6
- Text and Document Classification Technologies 6
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- Spam and Phishing Detection 22
- Co-authors
- Pablo G. Bringas (52 shared papers)Xabier Ugarte-Pedrero (20 shared papers)Félix Brezo (7 shared papers)Carlos Laorden (20 shared papers)Davide Balzarotti (8 shared papers)Borja Sanz (18 shared papers)Yoseba K. Penya (5 shared papers)Javier Nieves (15 shared papers)
In The Last Decade
Igor Santos
69 papers receiving 1.6k citations
Igor Santos's Hit Papers
Peers
Comparison fields: 5 of 99
- Signal Processing 955
- Software 197
- Computer Networks and Communications 825
- Information Systems 768
- Artificial Intelligence 726
Countries citing papers authored by Igor Santos
This map shows the geographic impact of Igor Santos'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 Igor Santos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Santos more than expected).
Fields of papers citing papers by Igor Santos
This network shows the impact of papers produced by Igor Santos. 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 Igor Santos. The network helps show where Igor Santos may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Santos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Opcode sequences as representation of executables for data-mining-based unknown malware detection Hit paper breakdown → | 2011 | 313 |
| 2 | 2009 | 133 | |
| 3 | 2015 | 118 | |
| 4 | 2019 | 98 | |
| 5 | 2015 | 85 | |
| 6 | 2016 | 74 | |
| 7 | 2013 | 69 | |
| 8 | 2012 | 62 | |
| 9 | 2017 | 58 | |
| 10 | 2018 | 45 | |
| 11 | 2011 | 41 | |
| 12 | 2011 | 36 | |
| 13 | 2010 | 36 | |
| 14 | 2014 | 34 | |
| 15 | 2011 | 30 | |
| 16 | 2012 | 30 | |
| 17 | 2010 | 27 | |
| 18 | 2019 | 26 | |
| 19 | Collective classification for unknown malware detection | 2011 | 25 |
| 20 | 2017 | 24 |
About Igor Santos
Igor Santos is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Mechanical Engineering, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (26 papers), Network Security and Intrusion Detection (24 papers), Spam and Phishing Detection (22 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Materials Engineering and Processing (8 papers), Topic Modeling (6 papers), Text and Document Classification Technologies (6 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Signal Processing (955 citations), Software (197 citations), Computer Networks and Communications (825 citations), Information Systems (768 citations) and Artificial Intelligence (726 citations). Igor Santos has collaborated with scholars based in Spain, France and Brazil. Frequent co-authors include Pablo G. Bringas, Xabier Ugarte-Pedrero, Félix Brezo, Carlos Laorden, Davide Balzarotti, Borja Sanz, Yoseba K. Penya, Javier Nieves, Nadia Nedjah and Luiza de Macedo Mourelle. Their work appears in journals such as Logic Journal of IGPL, Information Sciences, Expert Systems with Applications, The Visual Computer and Computers & Security.
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.