Joel Segarra

778 citations
20 papers · 502 indexed · 1 hit paper · h-index 7
Topics
Remote Sensing in Agriculture (13 papers)Remote Sensing and LiDAR Applications (8 papers)Land Use and Ecosystem Services (6 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in Plant ScienceSustainability
Partner nations
SpainColombiaPortugal

In The Last Decade

Joel Segarra

18 papers receiving 483 citations

Hit Papers

Remote Sensing for Precision Agriculture: Sentinel-2 Impr...20202026202220242020100200300

Peers

Joel Segarra
Comparison fields: 5 of 69
  • Ecology 303
  • Plant Science 229
  • Environmental Engineering 135
  • Global and Planetary Change 122
  • Atmospheric Science 54
Replace Ma. Luisa Buchaillot with:
Ma. Luisa Buchaillot Spain
Renhai Zhong China
Alberto Crema Italy
Max Gerhards Germany
Masayasu Maki Japan
Beatriz Bellón Brazil
R. P. D. Ferraz Brazil
Wenjiang Huang China
Isabelle Piccard Belgium
Matteo G. Ziliani Saudi Arabia
Joel Segarra relative to Ma. Luisa Buchaillot Spain Ma. Luisa Buchaillot's profile →
Citations per field
00.5×1.5×
Ma. Luisa Buchaillot · 1×
Citations per year

Countries citing papers authored by Joel Segarra

Since Specialization
Citations

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

Fields of papers citing papers by Joel Segarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Segarra

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Segarra. A scholar is included among the top collaborators of Joel Segarra 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 Joel Segarra. Joel Segarra 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 2
2 3
3 2
4 5
5 0
6 4
7 4
8 4
9 3
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11 16
12 9
13 50
14 3
15
Quantification of Pinus pinea pinecone productivity using machine learning of UAV and field images
0
16 62
17 3
18
Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applicationsbreakdown →
302
19 18
20 8

About Joel Segarra

Joel Segarra is a scholar working on Space and Planetary Science, Ecology and Environmental Engineering, having authored 20 papers that have together received 502 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (8 papers) and Land Use and Ecosystem Services (6 papers). The work is most often cited by research in Ecology (303 citations), Environmental Engineering (135 citations) and Plant Science (229 citations). Joel Segarra has collaborated with scholars based in Spain, Colombia and Portugal. Frequent co-authors include J. L. Araus, Shawn C. Kefauver, Ma. Luisa Buchaillot, Adrian Gracia‐Romero, Thomas Vatter, José A. Fernandez-Gallego, Stéphane Couturier, Jon González‐Torralba, Íker Aranjuelo and Omar Vergara‐Díaz. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Sustainability.

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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2026