Ana Juan Ferrer
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Josep JorbaJoan Manuel MarquèsAdmela JukanXavi Masip‐BruinS. Sánchez-LópezJordi GarcíaEva Marı́n-TorderaGuang‐Jie Ren
- Topics
- IoT and Edge/Fog Computing (11 papers)Cloud Computing and Resource Management (8 papers)Blockchain Technology Applications and Security (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SensorsACM Computing SurveysComputer
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Ana Juan Ferrer
18 papers receiving 432 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 343
- Information Systems 262
- Electrical and Electronic Engineering 63
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 60
Countries citing papers authored by Ana Juan Ferrer
This map shows the geographic impact of Ana Juan Ferrer'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 Ana Juan Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Juan Ferrer more than expected).
Fields of papers citing papers by Ana Juan Ferrer
This network shows the impact of papers produced by Ana Juan Ferrer. 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 Ana Juan Ferrer. The network helps show where Ana Juan Ferrer may publish in the future.
Co-authorship network of co-authors of Ana Juan Ferrer
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Juan Ferrer. A scholar is included among the top collaborators of Ana Juan Ferrer 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 Ana Juan Ferrer. Ana Juan Ferrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 149 | |
| 6 | 14 | |
| 7 | 38 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 76 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 29 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | TROPIC-D22 Design of network architecture for femto-cloud computing | 6 |
| 17 | 72 | |
| 18 | Standalone Software for TileCal ROD Characterization and System Tests | 1 |
About Ana Juan Ferrer
Ana Juan Ferrer is a scholar working on Computer Networks and Communications, Information Systems and Computer Science Applications, having authored 18 papers that have together received 450 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Cloud Computing and Resource Management (8 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Computer Networks and Communications (343 citations), Information Systems (262 citations) and Computer Vision and Pattern Recognition (61 citations). Ana Juan Ferrer has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Josep Jorba, Joan Manuel Marquès, Admela Jukan, Xavi Masip‐Bruin, S. Sánchez-López, Jordi García, Eva Marı́n-Tordera, Guang‐Jie Ren, Vitor Barbosa Souza and Johan Tordsson. Their work appears in journals such as Sensors, ACM Computing Surveys and Computer.
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.