Beatriz Lorenzo
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Information Systems
- Co-authors
- Savo GlisicYuguang FangFrancisco J. González‐CastañoJuan C. BurguilloXuanheng LiWeisong ShiHaichuan DingJ. Pérez-Romero
- Topics
- Advanced MIMO Systems Optimization (21 papers)Cooperative Communication and Network Coding (18 papers)Software-Defined Networks and 5G (10 papers)
- Partner nations
- United StatesFinlandSpain
In The Last Decade
Beatriz Lorenzo
56 papers receiving 570 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 421
- Electrical and Electronic Engineering 347
- Aerospace Engineering 64
- Artificial Intelligence 48
- Information Systems 43
Countries citing papers authored by Beatriz Lorenzo
This map shows the geographic impact of Beatriz Lorenzo'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 Beatriz Lorenzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Lorenzo more than expected).
Fields of papers citing papers by Beatriz Lorenzo
This network shows the impact of papers produced by Beatriz Lorenzo. 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 Beatriz Lorenzo. The network helps show where Beatriz Lorenzo may publish in the future.
Co-authorship network of co-authors of Beatriz Lorenzo
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Lorenzo. A scholar is included among the top collaborators of Beatriz Lorenzo 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 Beatriz Lorenzo. Beatriz Lorenzo 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 23 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 24 | |
| 19 | 13 | |
| 20 | 3 |
About Beatriz Lorenzo
Beatriz Lorenzo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 59 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (21 papers), Cooperative Communication and Network Coding (18 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Computer Networks and Communications (421 citations), Electrical and Electronic Engineering (347 citations) and Media Technology (29 citations). Beatriz Lorenzo has collaborated with scholars based in United States, Finland and Spain. Frequent co-authors include Savo Glisic, Yuguang Fang, Francisco J. González‐Castaño, Juan C. Burguillo, Xuanheng Li, Weisong Shi, Haichuan Ding, J. Pérez-Romero, Laura Galluccio and Felipe Gómez-Cuba. Their work appears in journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.
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.