Joan Navarro
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rosa Ma Alsina‐PagèsAgustín ZaballosFrancesc ÁlíasJosé Enrique Armendáriz-ÍñigoAnna CarrerasJosep M. SelgaChrysostomos StyliosDaniele Mazzei
- Topics
- IoT and Edge/Fog Computing (7 papers)Smart Grid Security and Resilience (6 papers)Context-Aware Activity Recognition Systems (5 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Joan Navarro
41 papers receiving 373 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 108
- Signal Processing 80
- Electrical and Electronic Engineering 72
- Control and Systems Engineering 65
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Joan Navarro
This map shows the geographic impact of Joan Navarro'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 Joan Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Navarro more than expected).
Fields of papers citing papers by Joan Navarro
This network shows the impact of papers produced by Joan Navarro. 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 Joan Navarro. The network helps show where Joan Navarro may publish in the future.
Co-authorship network of co-authors of Joan Navarro
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Navarro. A scholar is included among the top collaborators of Joan Navarro 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 Joan Navarro. Joan Navarro 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | The Management System of INTEGRIS. Extending the Smart Grid to the Web of Energy | 1 |
| 14 | 5 | |
| 15 | A Cloud robotics architecture to foster individual child partnership in medical facilities | 6 |
| 16 | Metodología on demand para el desarrollo de la asignatura de Sistemas Operativos Avanzados | 1 |
| 17 | A critical approach to modern learning methods | 1 |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 3 |
About Joan Navarro
Joan Navarro is a scholar working on Computer Science Applications, Developmental Biology and Computer Networks and Communications, having authored 52 papers that have together received 400 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Smart Grid Security and Resilience (6 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Developmental Biology (27 citations), Signal Processing (80 citations) and Computer Science Applications (33 citations). Joan Navarro has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Rosa Ma Alsina‐Pagès, Agustín Zaballos, Francesc Álías, José Enrique Armendáriz-Íñigo, Anna Carreras, Josep M. Selga, Chrysostomos Stylios, Daniele Mazzei, Dan Stowell and Dorota Stadnicka. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.