Guillermo Suárez‐Tangil
- Signal Processing top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Software top 1%
- Artificial Intelligence top 5%
- Co-authors
- Juan TapiadorPedro Peris‐LopezLorenzo CavallaroSantanu Kumar DashGianluca StringhiniArturo RibagordaJorge BlascoMansour Ahmadi
- Topics
- Advanced Malware Detection Techniques (33 papers)Network Security and Intrusion Detection (19 papers)Spam and Phishing Detection (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsExpert Systems with Applications
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Guillermo Suárez‐Tangil
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 69
- Signal Processing 1.1k
- Computer Networks and Communications 924
- Information Systems 658
- Software 407
- Artificial Intelligence 401
Countries citing papers authored by Guillermo Suárez‐Tangil
This map shows the geographic impact of Guillermo Suárez‐Tangil'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 Guillermo Suárez‐Tangil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Suárez‐Tangil more than expected).
Fields of papers citing papers by Guillermo Suárez‐Tangil
This network shows the impact of papers produced by Guillermo Suárez‐Tangil. 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 Guillermo Suárez‐Tangil. The network helps show where Guillermo Suárez‐Tangil may publish in the future.
Co-authorship network of co-authors of Guillermo Suárez‐Tangil
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Suárez‐Tangil. A scholar is included among the top collaborators of Guillermo Suárez‐Tangil 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 Guillermo Suárez‐Tangil. Guillermo Suárez‐Tangil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | WearFlow: Expanding Information Flow Analysis To Companion Apps in Wear {OS} | 0 |
| 13 | The Geography of Online Dating Fraud | 9 |
| 14 | 10 | |
| 15 | 67 | |
| 16 | 13 | |
| 17 | 16 | |
| 18 | 26 | |
| 19 | Information sharing models for cooperative cyber defence | 23 |
| 20 | 14 |
About Guillermo Suárez‐Tangil
Guillermo Suárez‐Tangil is a scholar working on Signal Processing, Software and Information Systems, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (33 papers), Network Security and Intrusion Detection (19 papers) and Spam and Phishing Detection (10 papers). The work is most often cited by research in Software (407 citations), Signal Processing (1.1k citations) and Computer Networks and Communications (924 citations). Guillermo Suárez‐Tangil has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Juan Tapiador, Pedro Peris‐Lopez, Lorenzo Cavallaro, Santanu Kumar Dash, Gianluca Stringhini, Arturo Ribagorda, Jorge Blasco, Mansour Ahmadi, Johannes Kinder and Sergio Pastrana. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.
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.