Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges
This map shows the geographic impact of J. Moreno'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 J. Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Moreno more than expected).
This network shows the impact of papers produced by J. Moreno. 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 J. Moreno. The network helps show where J. Moreno may publish in the future.
Co-authorship network of co-authors of J. Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of J. Moreno.
A scholar is included among the top collaborators of J. Moreno 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 J. Moreno. J. Moreno is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alonso, Luis, et al.. (2013). Spectroscopy Field Strategies And Their Effect On Measurements Of Heterogeneous And Homogeneous Earth Surfaces. 722. 47.8 indexed citations
11.
Verrelst, Jochem, Juan Pablo Rivera, Ganna Leonenko, Luis Alonso, & J. Moreno. (2012). Using the ARTMO toolbox for automated retrieval of biophysical parameters through radiative transfer model inversion: Optimizing LUT-based inversion. EGU General Assembly Conference Abstracts. 4915.2 indexed citations
12.
Moreno, J., et al.. (2012). European Space Agency's Fluorescence Explorer Mission: Concept and Applications. JuSER (Forschungszentrum Jülich). 2012.1 indexed citations
13.
Gómez‐Chova, Luis, Jordi Muñoz-Marı́, Emma Izquierdo‐Verdiguier, et al.. (2010). Synergistic Use of MERIS and AATSR Data for Cloud Screening. 686. 154.1 indexed citations
14.
Guanter, Luis, Luis Alonso, & J. Moreno. (2005). METHODS FOR THE SURFACE REFLECTANCE RETRIEVAL FROM CHRIS/PROBA DATA OVER LANDAND INLAND WATERS. Oxford University Research Archive (ORA) (University of Oxford). 593. 4.1 indexed citations
Jiménez‐Muñoz, Juan C., et al.. (2005). Fractional Vegetation Cover Estimation from Proba/CHRIS Data: Methods, Analysis of Angular Effects and Application to the Land Surface Emissivity Retrieval. Oxford University Research Archive (ORA) (University of Oxford). 593. 19.15 indexed citations
17.
Baret, Frédéric, Cédric Bacour, Marie Weiss, et al.. (2005). Canopy Biophysical Variables Estimation from MERIS Observations based on Neural Networks and Radiative Transfer Modelling: Principles and Validation. 572.3 indexed citations
18.
Guanter, Luis, Jose Manuel Martí, Luis Alonso, & J. Moreno. (2004). A TECHNIQUE FOR AEROSOL RETRIEVAL OVER LAND FROM MERIS DATA. Oxford University Research Archive (ORA) (University of Oxford). 549. 26.1 indexed citations
19.
Davidson, Malcolm, Michael Berger, I. Moya, et al.. (2003). Mapping photosynthesis from space: a new vegetation-fluorescence technique. 116(116). 34–37.13 indexed citations
20.
Moreno, J., et al.. (2001). Vegetation Properties from Imaging Data Acquired at Barrax in 1998 1999 and 2000. ESASP. 499. 197.3 indexed citations
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.