Lorena Calavia
Impact in
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- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Building and Construction top 10%
- Building Energy and Comfort Optimization
- Traffic Prediction and Management Techniques
Papers in
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- Context-Aware Activity Recognition Systems 2
- Video Surveillance and Tracking Methods 2
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- Energy Load and Power Forecasting 4
- Smart Grid Energy Management 2
- Co-authors
- Carlos Baladrón (12 shared papers)Belén Carro (12 shared papers)Javier M. Aguiar (11 shared papers)Antonio Sánchez-Esguevillas (9 shared papers)Luís Hernández-Callejo (5 shared papers)Jaime Lloret (3 shared papers)Diane J. Cook (1 shared paper)Jorge Marx Gómez (1 shared paper)
In The Last Decade
Lorena Calavia
12 papers receiving 385 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 257
- Building and Construction 61
- Computer Vision and Pattern Recognition 91
- Management Science and Operations Research 47
- Computer Networks and Communications 77
Countries citing papers authored by Lorena Calavia
This map shows the geographic impact of Lorena Calavia'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 Lorena Calavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Calavia more than expected).
Fields of papers citing papers by Lorena Calavia
This network shows the impact of papers produced by Lorena Calavia. 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 Lorena Calavia. The network helps show where Lorena Calavia may publish in the future.
Co-authors
The 18 scholars most cited alongside Lorena Calavia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 96 | |
| 2 | 2014 | 91 | |
| 3 | 2012 | 51 | |
| 4 | 2013 | 38 | |
| 5 | 2012 | 31 | |
| 6 | 2013 | 30 | |
| 7 | 2013 | 27 | |
| 8 | 2012 | 24 | |
| 9 | 2011 | 5 | |
| 10 | 2012 | 3 | |
| 11 | 2009 | 1 | |
| 12 | 2011 | 1 | |
| 13 | NEW TRENDS IN EDUCATION: M-LEARNING INITIATIVES | 2011 | 0 |
| 14 | INTERACTIVE LEARNING APPLICATION FOR MOBILE DEVICES | 2012 | 0 |
About Lorena Calavia
Lorena Calavia is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 14 papers that have together received 398 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), IoT and Edge/Fog Computing (2 papers), Software-Defined Networks and 5G (2 papers), Solar Radiation and Photovoltaics (2 papers), Context-Aware Activity Recognition Systems (2 papers), Video Surveillance and Tracking Methods (2 papers), Network Traffic and Congestion Control (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (257 citations), Building and Construction (61 citations), Computer Vision and Pattern Recognition (91 citations), Management Science and Operations Research (47 citations) and Computer Networks and Communications (77 citations). Lorena Calavia has collaborated with scholars based in Spain, Portugal and Sweden. Frequent co-authors include Carlos Baladrón, Belén Carro, Javier M. Aguiar, Antonio Sánchez-Esguevillas, Luís Hernández-Callejo, Jaime Lloret, Diane J. Cook, Jorge Marx Gómez, David Chinarro and Francisco Pérez-Hernández. Their work appears in journals such as Sensors, Energies, IEEE Communications Magazine, Computer Networks and IEEE Latin America Transactions.
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.