M. Sulev

470 citations
12 papers · 360 · h-index 9

Impact in

    • Plant Water Relations and Carbon Dynamics
    • Atmospheric aerosols and clouds
    • Atmospheric and Environmental Gas Dynamics
  • Ecology top 10%
    • Remote Sensing in Agriculture

Papers in

    • Remote Sensing in Agriculture 7
    • Leaf Properties and Growth Measurement 3
    • Light effects on plants 2

M. Sulev

12 papers receiving 336 citations

Peers

M. Sulev
Comparison fields: 5 of 58
  • Global and Planetary Change 201
  • Ecology 142
  • Environmental Engineering 76
  • Plant Science 121
  • Atmospheric Science 58
Replace Hongxia Luo with:
Hongxia Luo China
Joaquín Meliá Spain
Yasuko Mizoguchi Japan
Kateřina Havránková Czechia
Beth Drewniak United States
Chuang LIU China
Eduardo Varas Chile
J. F. Gerber United States
T. Nègre Italy
Janice Freitas Leivas Brazil
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Citations per field
00.5×
Hongxia Luo · 1×
Citations per year

Countries citing papers authored by M. Sulev

Since Specialization
Citations

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

Fields of papers citing papers by M. Sulev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Sulev, 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 M. Sulev Line = papers co-authored together M. Sulev links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000147
2 199835
3 201232
4 200632
5 201431
6 200128
7 201322
8 200214
9
Stochastic structure of cloud and radiation fields
19758
10 20067
11 19623
12 20001

About M. Sulev

M. Sulev is a scholar working on Ecology, Plant Science, Global and Planetary Change, Molecular Biology and Artificial Intelligence, having authored 12 papers that have together received 360 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Atmospheric aerosols and clouds (3 papers), Leaf Properties and Growth Measurement (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Solar Radiation and Photovoltaics (2 papers), Remote Sensing and LiDAR Applications (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Global and Planetary Change (201 citations), Ecology (142 citations), Environmental Engineering (76 citations), Plant Science (121 citations) and Atmospheric Science (58 citations). M. Sulev has collaborated with scholars based in Estonia, Finland and Russia. Frequent co-authors include Juhan Ross, Matti Mõttus, Frédéric Baret, Anu Reinart, Mait Lang, Lea Hallik, Outi Meinander and Andres Kuusk. Their work appears in journals such as Agricultural and Forest Meteorology, Journal of Geophysical Research Atmospheres, Solar Energy, Ecological Modelling and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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