Laura García

2.1k citations
53 papers · 1.4k indexed · 1 hit paper · h-index 18
Topics
Water Quality Monitoring Technologies (12 papers)Smart Agriculture and AI (11 papers)IoT Networks and Protocols (9 papers)
Partner nations
SpainFranceColombia

In The Last Decade

Laura García

52 papers receiving 1.3k citations

Hit Papers

IoT-Based Smart Irrigation Systems: An Overview on the Re...20202026202220242020100200300400

Peers

Laura García
Comparison fields: 5 of 113
  • Plant Science 446
  • Computer Networks and Communications 405
  • Electrical and Electronic Engineering 383
  • Water Science and Technology 332
  • Environmental Engineering 127
Replace Jose M. Jiménez with:
Jose M. Jiménez Spain
Olakunle Elijah Malaysia
Lorena Parra Spain
F. Soto Spain
Juan Antonio López Spain
Joaquín Gutiérrez Mexico
Ravi Kishore Kodali India
Tullio Salmon Cinotti Italy
Juha-Pekka Soininen Finland
Sadik Kamel Gharghan Iraq
Laura García relative to Jose M. Jiménez Spain Jose M. Jiménez's profile →
Citations per field
00.5×1.5×
Jose M. Jiménez · 1×
Citations per year

Countries citing papers authored by Laura García

Since Specialization
Citations

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

Fields of papers citing papers by Laura García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura García

This figure shows the co-authorship network connecting the top 25 collaborators of Laura García. A scholar is included among the top collaborators of Laura García 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 Laura García. Laura García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 2
6 14
7 0
8 12
9 9
10 27
11 1
12
Quantifying the Production of Fruit-Bearing Trees Using Image Processing Techniques
1
13
WiFi and LoRa Energy Consumption Comparison in IoT ESP 32/ SX1278 Devices
3
14 4
15 7
16 42
17 9
18 19
19 16
20 20

About Laura García

Laura García is a scholar working on Water Science and Technology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (12 papers), Smart Agriculture and AI (11 papers) and IoT Networks and Protocols (9 papers). The work is most often cited by research in Water Science and Technology (332 citations), Computer Networks and Communications (405 citations) and Plant Science (446 citations). Laura García has collaborated with scholars based in Spain, France and Colombia. Frequent co-authors include Jaime Lloret, Lorena Parra, Jose M. Jiménez, Sandra Sendra, Pascal Lorenz, Miran Taha, Carlos Cambra, Albert Rego, Pedro V. Mauri and Jesús Tomás. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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