Lorena González‐Manzano
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- José M. de FuentesPedro Peris‐LopezJuan TapiadorArturo RibagordaCarmen CámaraLuis Hernández EncinasAgustín OrfilaOmid Mirzaei
- Topics
- User Authentication and Security Systems (16 papers)Advanced Malware Detection Techniques (12 papers)Privacy-Preserving Technologies in Data (6 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Lorena González‐Manzano
36 papers receiving 543 citations
Peers
Comparison fields: 5 of 70
- Information Systems 344
- Computer Networks and Communications 197
- Signal Processing 170
- Artificial Intelligence 149
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Lorena González‐Manzano
This map shows the geographic impact of Lorena González‐Manzano'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 Lorena González‐Manzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena González‐Manzano more than expected).
Fields of papers citing papers by Lorena González‐Manzano
This network shows the impact of papers produced by Lorena González‐Manzano. 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 Lorena González‐Manzano. The network helps show where Lorena González‐Manzano may publish in the future.
Co-authorship network of co-authors of Lorena González‐Manzano
This figure shows the co-authorship network connecting the top 25 collaborators of Lorena González‐Manzano. A scholar is included among the top collaborators of Lorena González‐Manzano 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 Lorena González‐Manzano. Lorena González‐Manzano 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 31 | |
| 11 | 34 | |
| 12 | 46 | |
| 13 | 19 | |
| 14 | 26 | |
| 15 | 15 | |
| 16 | 17 | |
| 17 | 34 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 3 |
About Lorena González‐Manzano
Lorena González‐Manzano is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 39 papers that have together received 567 indexed citations. Recurring topics across this work include User Authentication and Security Systems (16 papers), Advanced Malware Detection Techniques (12 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Signal Processing (170 citations), Information Systems (344 citations) and Computer Networks and Communications (197 citations). Lorena González‐Manzano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include José M. de Fuentes, Pedro Peris‐Lopez, Juan Tapiador, Arturo Ribagorda, Carmen Cámara, Luis Hernández Encinas, Agustín Orfila, Omid Mirzaei, Ana I. González–Tablas and Sergio Pastrana. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.
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.