Jaime Lloret

24.5k citations
796 papers · 18.2k · 4 hit papers · h-index 65

Impact in

Papers in

Jaime Lloret

751 papers receiving 17.4k citations

Jaime Lloret's Hit Papers

Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions 2020 · 403 citations
4030+4+8Years since publication100200300400500

Peers

Jaime Lloret
Comparison fields: 5 of 201
  • Computer Networks and Communications 8.8k
  • Electrical and Electronic Engineering 6.7k
  • Signal Processing 1.3k
  • Computer Vision and Pattern Recognition 2.4k
  • Water Science and Technology 1.3k
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Citations per year

Countries citing papers authored by Jaime Lloret

Since Specialization
Citations

This map shows the geographic impact of Jaime Lloret'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 Jaime Lloret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Lloret more than expected).

Fields of papers citing papers by Jaime Lloret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime Lloret. 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 Jaime Lloret. The network helps show where Jaime Lloret may publish in the future.

Co-authors

The 25 scholars most cited alongside Jaime Lloret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaime Lloret Line = papers co-authored together Jaime Lloret links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 796 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
Hit paper breakdown →
2017547
2
IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture
Hit paper breakdown →
2020474
3
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
Hit paper breakdown →
2020403
4
A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
Hit paper breakdown →
2014400
5 2014320
6 2009241
7 2015234
8 2018226
9 2017215
10 2016207
11 2014179
12 2019170
13 2013167
14 2018163
15 2019160
16 2016143
17 2012137
18 2017135
19 2020135
20 2021128

About Jaime Lloret

Jaime Lloret is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 796 papers that have together received 18.2k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (124 papers), IoT and Edge/Fog Computing (109 papers), Mobile Ad Hoc Networks (88 papers), Opportunistic and Delay-Tolerant Networks (82 papers), Water Quality Monitoring Technologies (66 papers), Wireless Networks and Protocols (58 papers), Vehicular Ad Hoc Networks (VANETs) (51 papers) and Energy Harvesting in Wireless Networks (44 papers). The work is most often cited by research in Computer Networks and Communications (8.8k citations), Electrical and Electronic Engineering (6.7k citations), Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (2.4k citations) and Water Science and Technology (1.3k citations). Jaime Lloret has collaborated with scholars based in Spain, China and United Kingdom. Frequent co-authors include Sandra Sendra, Lorena Parra, Miguel García, Antonio Sánchez-Esguevillas, Belén Carro, Jose M. Jiménez, Laura García, Jesús Tomás, Khan Muhammad and Joel J. P. C. Rodrigues. Their work appears in journals such as Sensors, IEEE Access, Electronics, IEEE Communications Magazine and Mobile Networks and Applications.

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.

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