Pedro Lara-Benítez
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Automotive Engineering
- Management Science and Operations Research
- Co-authors
- Manuel Carranza-GarcíaJosé C. RiquelmeJorge García–GutiérrezJosé María Luna-RomeraFrancisco González-LongattDavid Gutiérrez‐Avilés
- Topics
- Time Series Analysis and Forecasting (3 papers)Energy Load and Power Forecasting (3 papers)Data Stream Mining Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringManagement Science and Operations Research
- Partner nations
- SpainUnited Kingdom
In The Last Decade
Pedro Lara-Benítez
7 papers receiving 404 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 128
- Electrical and Electronic Engineering 112
- Artificial Intelligence 85
- Automotive Engineering 43
- Management Science and Operations Research 36
Countries citing papers authored by Pedro Lara-Benítez
This map shows the geographic impact of Pedro Lara-Benítez'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 Pedro Lara-Benítez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Lara-Benítez more than expected).
Fields of papers citing papers by Pedro Lara-Benítez
This network shows the impact of papers produced by Pedro Lara-Benítez. 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 Pedro Lara-Benítez. The network helps show where Pedro Lara-Benítez may publish in the future.
Co-authorship network of co-authors of Pedro Lara-Benítez
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Lara-Benítez. A scholar is included among the top collaborators of Pedro Lara-Benítez 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 Pedro Lara-Benítez. Pedro Lara-Benítez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 36 | |
| 6 | 154 | |
| 7 | 167 |
About Pedro Lara-Benítez
Pedro Lara-Benítez is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 425 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Energy Load and Power Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Automotive Engineering (43 citations) and Management Science and Operations Research (36 citations). Pedro Lara-Benítez has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Manuel Carranza-García, José C. Riquelme, Jorge García–Gutiérrez, José María Luna-Romera, Francisco González-Longatt and David Gutiérrez‐Avilés. Their work appears in journals such as Remote Sensing, Neurocomputing and International Journal of Electrical Power & Energy Systems.
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.