Marco Celesti

1.9k total citations
36 papers, 842 citations indexed

About

Marco Celesti is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Marco Celesti has authored 36 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 23 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Marco Celesti's work include Remote Sensing in Agriculture (22 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Marco Celesti is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Marco Celesti collaborates with scholars based in Italy, Germany and Netherlands. Marco Celesti's co-authors include Roberto Colombo, Uwe Rascher, Micol Rossini, Cinzia Panigada, Sergio Cogliati, F. Miglietta, Tommaso Julitta, Mirco Migliavacca, Alexander Damm and Christiaan van der Tol and has published in prestigious journals such as Remote Sensing of Environment, Global Change Biology and Plant Cell & Environment.

In The Last Decade

Marco Celesti

33 papers receiving 817 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Celesti Italy 17 579 457 269 188 81 36 842
Maria Pilar Cendrero‐Mateo Spain 15 650 1.1× 497 1.1× 435 1.6× 229 1.2× 96 1.2× 24 1.0k
Anke Schickling Germany 16 916 1.6× 879 1.9× 355 1.3× 283 1.5× 116 1.4× 33 1.2k
Neus Sabater Spain 15 592 1.0× 553 1.2× 150 0.6× 218 1.2× 161 2.0× 40 841
Javier Pacheco‐Labrador Spain 22 736 1.3× 800 1.8× 258 1.0× 269 1.4× 151 1.9× 43 1.1k
Jinyan Tian China 13 804 1.4× 369 0.8× 134 0.5× 417 2.2× 215 2.7× 30 1.1k
Sebastian Wieneke Germany 12 426 0.7× 401 0.9× 171 0.6× 131 0.7× 100 1.2× 23 634
Luke A. Brown United Kingdom 15 643 1.1× 346 0.8× 273 1.0× 342 1.8× 121 1.5× 36 843
Julia Amorós-López Spain 16 714 1.2× 500 1.1× 181 0.7× 213 1.1× 163 2.0× 34 1.1k
Lois Grant United States 10 534 0.9× 303 0.7× 457 1.7× 129 0.7× 96 1.2× 21 807
Gina H. Mohammed Canada 17 940 1.6× 890 1.9× 584 2.2× 291 1.5× 149 1.8× 33 1.6k

Countries citing papers authored by Marco Celesti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Celesti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Celesti

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Celesti. A scholar is included among the top collaborators of Marco Celesti 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 Marco Celesti. Marco Celesti 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
1.
Zeng, Yelu, Dalei Hao, Nikolay V. Shabanov, et al.. (2025). Combining geometric-optical and spectral invariants theories for modeling canopy fluorescence anisotropy. Remote Sensing of Environment. 323. 114716–114716.
2.
Celesti, Marco, et al.. (2025). Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 4780–4790. 9 indexed citations
3.
Preusker, René, et al.. (2023). OLCI-A/B tandem phase: evaluation of FLuorescence EXplorer (FLEX)-like radiances and estimation of systematic differences between OLCI-A and OLCI-FLEX. Atmospheric measurement techniques. 16(12). 3101–3121. 2 indexed citations
4.
Wijata, Agata M., Marco Celesti, Ferran Gascon, et al.. (2023). Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions. IEEE Geoscience and Remote Sensing Magazine. 11(2). 10–39. 34 indexed citations
5.
Nieke, Jens, et al.. (2023). Feasibility Study to Detect Floating Debris by Hyperspectral Mission Using Onboard AI. 5254–5256. 2 indexed citations
6.
Prikaziuk, Egor, Marco Celesti, Enrico Tomelleri, et al.. (2023). Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale. Remote Sensing. 15(19). 4835–4835. 2 indexed citations
7.
Rossini, Micol, Marco Celesti, Mirco Migliavacca, et al.. (2022). Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products. Remote Sensing. 14(20). 5107–5107. 5 indexed citations
8.
Hao, Dalei, Yelu Zeng, Zhaoying Zhang, et al.. (2022). Adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP. ISPRS Journal of Photogrammetry and Remote Sensing. 186. 157–169. 24 indexed citations
9.
10.
Tagliabue, Giulia, Cinzia Panigada, Marco Celesti, et al.. (2020). Sun–induced fluorescence heterogeneity as a measure of functional diversity. Remote Sensing of Environment. 247. 111934–111934. 30 indexed citations
11.
Pinto, Francisco, Marco Celesti, Kelvin Acebron, et al.. (2020). Dynamics of sun‐induced chlorophyll fluorescence and reflectance to detect stress‐induced variations in canopy photosynthesis. Plant Cell & Environment. 43(7). 1637–1654. 27 indexed citations
12.
Tagliabue, Giulia, Marco Celesti, Petya Campbell, et al.. (2019). Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Cendrero‐Mateo, Maria Pilar, Sebastian Wieneke, Alexander Damm, et al.. (2019). Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing. Remote Sensing. 11(8). 962–962. 72 indexed citations
14.
Cogliati, Sergio, Roberto Colombo, Marco Celesti, et al.. (2018). Retrieval of the fluorescence emission by atmospheric forward modelling and spectral fitting. BOA (University of Milano-Bicocca). 1 indexed citations
15.
Julitta, Tommaso, et al.. (2018). Characterisation of reflectance and chlorophyll fluorescence anisotropy – defining requirements for an experimental setup.. BOA (University of Milano-Bicocca). 16936. 1 indexed citations
16.
Celesti, Marco, Christiaan van der Tol, Sergio Cogliati, et al.. (2018). Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion. Remote Sensing of Environment. 215. 97–108. 49 indexed citations
17.
Colombo, Roberto, Marco Celesti, Petya Campbell, et al.. (2018). Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest. Global Change Biology. 24(7). 2980–2996. 27 indexed citations
18.
Sakowska, Karolina, Giorgio Alberti, Lorenzo Genesio, et al.. (2018). Leaf and canopy photosynthesis of a chlorophyll deficient soybean mutant. Plant Cell & Environment. 41(6). 1427–1437. 68 indexed citations
19.
Burkart, Andreas, Tommaso Julitta, Sergio Cogliati, et al.. (2017). HyScreen: Hyperspectral Ground Imaging System for Reflectance and Fluorescence. 2 indexed citations
20.
Rossini, Micol, Michele Meroni, Marco Celesti, et al.. (2016). Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data. Remote Sensing. 8(5). 412–412. 54 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.

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