Micha Silver
- Ecological Modeling top 10%
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services 3
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- Soil Moisture and Remote Sensing 4
- Remote Sensing and LiDAR Applications 2
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- Remote Sensing in Agriculture 6
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- Meteorological Phenomena and Simulations 4
- Precipitation Measurement and Analysis 3
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- Plant Parasitism and Resistance 2
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- Archaeology and Historical Studies 2
Micha Silver
18 papers receiving 257 citations
Peers
Comparison fields: 5 of 66
- Ecological Modeling 39
- Global and Planetary Change 122
- Environmental Engineering 63
- Water Science and Technology 58
- Space and Planetary Science 5
Countries citing papers authored by Micha Silver
This map shows the geographic impact of Micha Silver'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 Micha Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha Silver more than expected).
Fields of papers citing papers by Micha Silver
This network shows the impact of papers produced by Micha Silver. 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 Micha Silver. The network helps show where Micha Silver may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Micha Silver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 3 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 60 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 9 | |
| 15 | 2017 | 52 | |
| 16 | An Integrated Simulation and Distribution System for Early Flood Warning | 2015 | 7 |
| 17 | 2014 | 10 | |
| 18 | 2013 | 17 | |
| 19 | 2007 | 2 | |
| 20 | Indigenous populations of rhizobia, legume response to inoculation and farmer awareness of inoculants in East and Southern Africa | 1997 | 14 |
About Micha Silver
Micha Silver is a scholar working on Space and Planetary Science, Environmental Engineering, Ecological Modeling, Global and Planetary Change and Atmospheric Science, having authored 22 papers that have together received 268 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Soil Moisture and Remote Sensing (4 papers), Meteorological Phenomena and Simulations (4 papers), Precipitation Measurement and Analysis (3 papers), Land Use and Ecosystem Services (3 papers), Plant Parasitism and Resistance (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Archaeology and Historical Studies (2 papers). The work is most often cited by research in Ecological Modeling (39 citations), Global and Planetary Change (122 citations), Environmental Engineering (63 citations), Water Science and Technology (58 citations) and Space and Planetary Science (5 citations). Micha Silver has collaborated with scholars based in Israel, Uganda and Sri Lanka. Frequent co-authors include Arnon Karnieli, Natalya Panov, Tarin Paz‐Kagan, Erick Fredj, Hanan Ginat, Noa Ohana‐Levi, Ilan Stavi, Yoav Avni, Nektarios Chrysoulakis and Antonello Provenzale. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Environmental Modelling & Software, Journal of Hydrology and Atmospheric Research.
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.