Javier Berrocal
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 64
- Software-Defined Networks and 5G 22
- Opportunistic and Delay-Tolerant Networks 14
- Caching and Content Delivery 12
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- Context-Aware Activity Recognition Systems 42
- Co-authors
- Juan M. Murillo (100 shared papers)José García-Alonso (77 shared papers)Carlos Canal (23 shared papers)Jaime Galán–Jiménez (45 shared papers)Luca Foschini (16 shared papers)Paolo Bellavista (12 shared papers)Enrique Moguel (16 shared papers)Antonio Corradi (3 shared papers)
In The Last Decade
Javier Berrocal
123 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 737
- Information Systems 372
- Computer Vision and Pattern Recognition 324
- Computer Science Applications 74
- Information Systems and Management 65
Countries citing papers authored by Javier Berrocal
This map shows the geographic impact of Javier Berrocal'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 Javier Berrocal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Berrocal more than expected).
Fields of papers citing papers by Javier Berrocal
This network shows the impact of papers produced by Javier Berrocal. 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 Javier Berrocal. The network helps show where Javier Berrocal may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Berrocal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 220 | |
| 2 | 2015 | 170 | |
| 3 | 2014 | 66 | |
| 4 | 2021 | 54 | |
| 5 | 2022 | 38 | |
| 6 | 2020 | 31 | |
| 7 | 2021 | 28 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 28 | |
| 10 | 2016 | 28 | |
| 11 | 2016 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2020 | 23 | |
| 15 | 2016 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2022 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2018 | 15 |
About Javier Berrocal
Javier Berrocal is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 140 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (64 papers), Context-Aware Activity Recognition Systems (42 papers), Software-Defined Networks and 5G (22 papers), Cloud Computing and Resource Management (15 papers), Green IT and Sustainability (15 papers), Opportunistic and Delay-Tolerant Networks (14 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Computer Networks and Communications (737 citations), Information Systems (372 citations), Computer Vision and Pattern Recognition (324 citations), Computer Science Applications (74 citations) and Information Systems and Management (65 citations). Javier Berrocal has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Juan M. Murillo, José García-Alonso, Carlos Canal, Jaime Galán–Jiménez, Luca Foschini, Paolo Bellavista, Enrique Moguel, Antonio Corradi, Sajal K. Das and Alessandro Zanni. Their work appears in journals such as IEEE Access, IEEE Internet Computing, Pervasive and Mobile Computing, Computing and SoftwareX.
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.