Urko Zurutuza
- Computer Networks and Communications top 2%
- Signal Processing top 1%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Software top 2%
- Co-authors
- Simin Nadjm‐TehraniEkhi ZugastiOscar SerradillaIñaki GaritanoJosé Luis FloresImanol AndoneguiAitor UrbietaJosé María Gómez Hidalgo
- Topics
- Network Security and Intrusion Detection (22 papers)Advanced Malware Detection Techniques (14 papers)Fault Detection and Control Systems (9 papers)
In The Last Decade
Urko Zurutuza
49 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 743
- Signal Processing 706
- Information Systems 361
- Artificial Intelligence 339
- Software 296
Countries citing papers authored by Urko Zurutuza
This map shows the geographic impact of Urko Zurutuza'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 Urko Zurutuza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urko Zurutuza more than expected).
Fields of papers citing papers by Urko Zurutuza
This network shows the impact of papers produced by Urko Zurutuza. 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 Urko Zurutuza. The network helps show where Urko Zurutuza may publish in the future.
Co-authorship network of co-authors of Urko Zurutuza
This figure shows the co-authorship network connecting the top 25 collaborators of Urko Zurutuza. A scholar is included among the top collaborators of Urko Zurutuza 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 Urko Zurutuza. Urko Zurutuza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 57 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | Using Personality Recognition Techniques to Improve Bayesian Spam Filtering | 2 |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 37 | |
| 19 | Crowdroidbreakdown → | 604 |
| 20 | 2 |
About Urko Zurutuza
Urko Zurutuza is a scholar working on Signal Processing, Medical Laboratory Technology and Computer Networks and Communications, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (22 papers), Advanced Malware Detection Techniques (14 papers) and Fault Detection and Control Systems (9 papers). The work is most often cited by research in Software (296 citations), Signal Processing (706 citations) and Computer Networks and Communications (743 citations). Urko Zurutuza has collaborated with scholars based in Spain, Portugal and Sweden. Frequent co-authors include Simin Nadjm‐Tehrani, Ekhi Zugasti, Oscar Serradilla, Iñaki Garitano, José Luis Flores, Imanol Andonegui, Aitor Urbieta, José María Gómez Hidalgo, Carlos Cernuda and Itziar Landa-Torres. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Applied Sciences and Information Processing & Management.
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.