Josep Ll. Berral
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Co-authors
- Jordi TorresRicard GavaldàDavid CarreraÍñigo GoiriJordi GuitartFerran JuliàRamón NouWaheed Iqbal
- Topics
- Cloud Computing and Resource Management (23 papers)IoT and Edge/Fog Computing (12 papers)Software-Defined Networks and 5G (6 papers)
- Partner nations
- SpainUnited StatesPakistan
In The Last Decade
Josep Ll. Berral
43 papers receiving 981 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 760
- Information Systems 635
- Electrical and Electronic Engineering 183
- Artificial Intelligence 168
- Hardware and Architecture 95
Countries citing papers authored by Josep Ll. Berral
This map shows the geographic impact of Josep Ll. Berral'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 Josep Ll. Berral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josep Ll. Berral more than expected).
Fields of papers citing papers by Josep Ll. Berral
This network shows the impact of papers produced by Josep Ll. Berral. 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 Josep Ll. Berral. The network helps show where Josep Ll. Berral may publish in the future.
Co-authorship network of co-authors of Josep Ll. Berral
This figure shows the co-authorship network connecting the top 25 collaborators of Josep Ll. Berral. A scholar is included among the top collaborators of Josep Ll. Berral 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 Josep Ll. Berral. Josep Ll. Berral 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 62 | |
| 10 | AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management | 10 |
| 11 | 14 | |
| 12 | 23 | |
| 13 | 48 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 4 | |
| 18 | 18 | |
| 19 | 5 | |
| 20 | 21 |
About Josep Ll. Berral
Josep Ll. Berral is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (23 papers), IoT and Edge/Fog Computing (12 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (760 citations), Information Systems (635 citations) and Hardware and Architecture (95 citations). Josep Ll. Berral has collaborated with scholars based in Spain, United States and Pakistan. Frequent co-authors include Jordi Torres, Ricard Gavaldà, David Carrera, Íñigo Goiri, Jordi Guitart, Ferran Julià, Ramón Nou, Waheed Iqbal, Javier Alonso and A. Asensio. Their work appears in journals such as Scientific Reports, Optics Express and IEEE Internet of Things Journal.
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.