Anatoly A. Gitelson

205 papers receiving 35.8k citations

Anatoly A. Gitelson's Hit Papers

PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle 2017 · 536 citations
5360+8+16Years since publication50010001.5k2.0k

Peers

Anatoly A. Gitelson
Comparison fields: 5 of 151
  • Ecology 25.5k
  • Environmental Engineering 9.9k
  • Global and Planetary Change 11.2k
  • Ecological Modeling 2.1k
  • Industrial and Manufacturing Engineering 4.2k
Replace John D. Aber with:
John D. Aber United States
Susan L. Ustin United States
Alfredo Huete United States
Michael E. Schaepman Switzerland
Frédéric Baret France
Mark N. Merzlyak Russia
J. Moreno Spain
Pablo J. Zarco‐Tejada Spain
Paul J. Curran United Kingdom
Donald C. Rundquist United States
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Citations per year

Countries citing papers authored by Anatoly A. Gitelson

Since Specialization
Citations

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

Fields of papers citing papers by Anatoly A. Gitelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anatoly A. Gitelson. 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 Anatoly A. Gitelson. The network helps show where Anatoly A. Gitelson may publish in the future.

Co-authors

The 25 scholars most cited alongside Anatoly A. Gitelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anatoly A. Gitelson Line = papers co-authored together Anatoly A. Gitelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
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19962518
2
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
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20032104
3
Novel algorithms for remote estimation of vegetation fraction
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20021731
4
Remote estimation of canopy chlorophyll content in crops
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20051295
5
Spectral Reflectance Changes Associated with Autumn Senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral Features and Relation to Chlorophyll Estimation
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19941159
6
Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening
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19991057
7
Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
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2004993
8
PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments
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2008845
9
Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶
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2001816
10
Remote estimation of chlorophyll content in higher plant leaves
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1997770
11
Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves
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1994733
12
Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll
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1996724
13
Remote estimation of leaf area index and green leaf biomass in maize canopies
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2003677
14
Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves
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2006654
15
Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶
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2002637
16
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops
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2011609
17
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
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2009599
18
A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation
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2008546
19
PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
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2017536
20
The peak near 700 nm on radiance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration
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1992536

About Anatoly A. Gitelson

Anatoly A. Gitelson is a scholar working on Ecology, Plant Science, Global and Planetary Change, Industrial and Manufacturing Engineering and Oceanography, having authored 207 papers that have together received 37.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (125 papers), Leaf Properties and Growth Measurement (79 papers), Water Quality Monitoring and Analysis (57 papers), Marine and coastal ecosystems (55 papers), Land Use and Ecosystem Services (33 papers), Water Quality Monitoring Technologies (32 papers), Plant Water Relations and Carbon Dynamics (23 papers) and Spectroscopy and Chemometric Analyses (19 papers). The work is most often cited by research in Ecology (25.5k citations), Environmental Engineering (9.9k citations), Global and Planetary Change (11.2k citations), Ecological Modeling (2.1k citations) and Industrial and Manufacturing Engineering (4.2k citations). Anatoly A. Gitelson has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Mark N. Merzlyak, Yoram J. Kaufman, Donald C. Rundquist, Timothy J. Arkebauer, Andrés Viña, О. Б. Чивкунова, Yi Peng, Robert J. Stark, Galina Keydan and Wesley J. Moses. Their work appears in journals such as Remote Sensing of Environment, Journal of Plant Physiology, Geophysical Research Letters, International Journal of Remote Sensing and Agronomy Journal.

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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