Francisco Pinto

3.5k citations

37 papers · 1.6k indexed · h-index 19

Co-authors: Uwe Rascher Matthew Reynolds Micol Rossini Sergio Cogliati Anke Schickling Mark Müller‐Linow Cinzia Panigada M. Ashraf Bhat
Topics: Remote Sensing in Agriculture (22 papers)Plant Water Relations and Carbon Dynamics (8 papers)Wheat and Barley Genetics and Pathology (6 papers)
Cited by: Ecology Plant Science Global and Planetary Change
Journals: Bioinformatics PLoS ONE Remote Sensing of Environment
Partner nations: Mexico Germany Italy

In The Last Decade

Francisco Pinto

36 papers receiving 1.6k citations

Peers

Countries citing papers authored by Francisco Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Pinto

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	High-Throughput Plot-Level Quantitative Phenotyping Using Convolutional Neural Networks on Very High-Resolution Satellite Images 2024 ·Remote Sensing ·Brandon Victor,Aiden Nibali,Saul Newman,Tristan E. Coram,Francisco Pinto,Matthew Reynolds,Robert T. Furbank,Zhen He	5
2	Night‐time warming in the field reduces nocturnal stomatal conductance and grain yield but does not alter daytime physiological responses 2023 ·New Phytologist ·Lorna McAusland,Liana G. Acevedo‐Siaca,R. Suzuky Pinto,Francisco Pinto,Gemma Molero,Jaime Garatuza‐Payán,Matthew Reynolds,Erik H. Murchie,Enrico A. Yépez	15
3	Multimodal deep learning methods enhance genomic prediction of wheat breeding 2023 ·G3 Genes Genomes Genetics ·Abelardo Montesinos‐López,(unknown),Francisco Pinto,(unknown),David S. González-González,Matthew Reynolds,Paulino Pérez‐Rodríguez,Huihui Li,Osval A. Montesinos‐López,José Crossa	17
4	Exotic alleles contribute to heat tolerance in wheat under field conditions 2023 ·Communications Biology ·Gemma Molero,(unknown),Ryan Joynson,Francisco Pinto,Francisco J. Piñera‐Chávez,Carolina Rivera‐Amado,Anthony Hall,Matthew Reynolds	27
5	Exotic alleles contribute to heat tolerance in wheat under field conditions 2022 ·Zenodo (CERN European Organization for Nuclear Research) ·Gemma Molero,(unknown),Ryan Joynson,Francisco Pinto,Francisco J. Piñera‐Chávez,Carolina Rivera‐Amado,Anthony Hall,Matthew Reynolds	1
6	Prediction of Photosynthetic, Biophysical, and Biochemical Traits in Wheat Canopies to Reduce the Phenotyping Bottleneck 2022 ·Frontiers in Plant Science ·(unknown),Francisco Pinto,Gemma Molero,J. Foulkes,Matthew Reynolds,Erik H. Murchie	10
7	Field-based remote sensing models predict radiation use efficiency in wheat 2021 ·Journal of Experimental Botany ·(unknown),Gemma Molero,Francisco Pinto,J. Foulkes,Matthew Reynolds,Erik H. Murchie	21
8	High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation 2021 ·Frontiers in Plant Science ·(unknown),Francisco Pinto,Lorena González-Pérez,(unknown),Aluízio Borém,Matthew Reynolds,Bruno Gérard,Gemma Molero,Francelino A. Rodrigues	77
9	Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs 2020 ·Crop Science ·(unknown),Suchismita Mondal,José Crossa,Ravi P. Singh,Francisco Pinto,Atena Haghighattalab,Sandesh Shrestha,Jessica Rutkoski,Michael A. Gore,Mark E. Sorrells,Jesse Poland	39
10	Breeder friendly phenotyping 2020 ·Plant Science ·Matthew Reynolds,Scott Chapman,Leonardo Crespo‐Herrera,Gemma Molero,Suchismita Mondal,Diego Noleto Luz Pequeno,Francisco Pinto,Francisco J. Piñera‐Chávez,Jesse Poland,Carolina Rivera‐Amado,Carolina Saint Pierre,Sivakumar Sukumaran	162
11	Dynamics of sun‐induced chlorophyll fluorescence and reflectance to detect stress‐induced variations in canopy photosynthesis 2020 ·Plant Cell & Environment ·Francisco Pinto,Marco Celesti,Kelvin Acebron,Giorgio Alberti,Sergio Cogliati,Roberto Colombo,Radosław Juszczak,Shizue Matsubara,F. Miglietta,Angelo Palombo,Cinzia Panigada,Stefano Pignatti,Micol Rossini,Karolina Sakowska,Anke Schickling,Dirk Schüttemeyer,(unknown),(unknown),Uwe Rascher	27
12	High-throughput phenotyping for crop improvement in the genomics era 2019 ·Plant Science ·Reyazul Rouf Mir,Matthew Reynolds,Francisco Pinto,Mohd Anwar Khan,M. Ashraf Bhat	180
13	Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion 2018 ·Remote Sensing of Environment ·Marco Celesti,Christiaan van der Tol,Sergio Cogliati,Cinzia Panigada,Peiqi Yang,Francisco Pinto,Uwe Rascher,F. Miglietta,Roberto Colombo,Micol Rossini	49
14	Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat 2018 ·Theoretical and Applied Genetics ·Philomin Juliana,Osval A. Montesinos‐López,José Crossa,Suchismita Mondal,Lorena González-Pérez,Jesse Poland,Julio Huerta‐Espino,Leonardo Crespo‐Herrera,Velu Govindan,Susanne Dreisigacker,Sandesh Shrestha,Paulino Pérez‐Rodríguez,Francisco Pinto,Ravi P. Singh	65
15	Sun‐induced chlorophyll fluorescence from high‐resolution imaging spectroscopy data to quantify spatio‐temporal patterns of photosynthetic function in crop canopies 2016 ·Plant Cell & Environment ·Francisco Pinto,Alexander Damm,Anke Schickling,Cinzia Panigada,Sergio Cogliati,Mark Müller‐Linow,Agim Ballvora,Uwe Rascher	95
16	The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool 2015 ·Plant Methods ·Mark Müller‐Linow,Francisco Pinto,Hanno Scharr,Uwe Rascher	83
17	Remote Sensing of Sun-induced Fluorescence to Measure the Functional Regulation of Photosynthesis 2014 ·2014 AGU Fall Meeting ·(unknown),(unknown),Maria Matveeva,Francisco Pinto,Micol Rossini,Anke Schickling,Uwe Rascher	1
18	Non-Invasive Measurement of Frog Skin Reflectivity in High Spatial Resolution Using a Dual Hyperspectral Approach 2013 ·PLoS ONE ·Francisco Pinto,Michael Mielewczik,Frank Liebisch,Achim Walter,Hartmut Greven,Uwe Rascher	12
19	Mapping sun-induced fluorescence using the high performance imaging spectrometer HyPlant: Understanding spatio-temporal variations in vegetation stress response and functional adaptatation of photosynthesis 2013 ·Uwe Rascher,Luis Guanter,J. Moreno,Sergio Cogliati,(unknown),Roberto Colombo,Luis Alonso,(unknown),Andreas Burkart,Francisco Pinto,Anke Schickling,Micol Rossini	2
20	Guidance Parameter Determination Using Artificial Neural Network Classifier 1999 ·Francisco Pinto,John F. Reid,(unknown),Noboru Noguchi	2

About Francisco Pinto

Francisco Pinto is a scholar working on Ecology, Global and Planetary Change and Plant Science, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Wheat and Barley Genetics and Pathology (6 papers). The work is most often cited by research in Ecology (866 citations), Plant Science (1.0k citations) and Global and Planetary Change (465 citations). Francisco Pinto has collaborated with scholars based in Mexico, Germany and Italy. Frequent co-authors include Uwe Rascher, Matthew Reynolds, Micol Rossini, Sergio Cogliati, Anke Schickling, Mark Müller‐Linow, Cinzia Panigada, M. Ashraf Bhat, Reyazul Rouf Mir and Mohd Anwar Khan. Their work appears in journals such as Bioinformatics, PLoS ONE and Remote Sensing of Environment.

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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