M. Turmon
- Astronomy and Astrophysics top 2%
- Stellar, planetary, and galactic studies 11
- Solar and Space Plasma Dynamics 10
- Astro and Planetary Science 5
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics 6
- Geochemistry and Geologic Mapping 5
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- Astronomy and Astrophysical Research 8
- Atmospheric Science top 10%
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- Atmospheric and Environmental Gas Dynamics 6
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- Distributed systems and fault tolerance 5
- Journals
- Remote Sensing of Environment (6 papers)Solar Physics (4 papers)Journal of Hydrometeorology (2 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
M. Turmon
57 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Astronomy and Astrophysics 983
- Artificial Intelligence 338
- Computer Vision and Pattern Recognition 159
- Instrumentation 24
- Atmospheric Science 124
Countries citing papers authored by M. Turmon
This map shows the geographic impact of M. Turmon'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. Turmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Turmon more than expected).
Fields of papers citing papers by M. Turmon
This network shows the impact of papers produced by M. Turmon. 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. Turmon. The network helps show where M. Turmon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Turmon, 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 | 2024 | 2 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 18 | |
| 9 | 2017 | 7 | |
| 10 | Improved Uncertainty Quantification in Groundwater Flux Estimation Using GRACE | 2015 | 1 |
| 11 | Tracked Active Region Patches for MDI and HMI | 2014 | 1 |
| 12 | SHARPs - A New Space Weather Data Product from SDO/HMI | 2011 | 0 |
| 13 | Learning for autonomous navigation | 2005 | 1 |
| 14 | 2005 | 12 | |
| 15 | Comparison of image-processing methods to extract solar features | 2002 | 5 |
| 16 | Study of differences between sunspot area data determined from ground- based and space-borne observations | 2002 | 1 |
| 17 | Software Fault Tolerance for High-Performance Space Applications | 2000 | 1 |
| 18 | 1998 | 28 | |
| 19 | Bayesian inference for identifying solar active regions | 1997 | 3 |
| 20 | Sample Size Requirements for Feedforward Neural Networks | 1994 | 6 |
About M. Turmon
M. Turmon is a scholar working on Instrumentation, Astronomy and Astrophysics, Global and Planetary Change, Artificial Intelligence and Aerospace Engineering, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (11 papers), Solar and Space Plasma Dynamics (10 papers), Astronomy and Astrophysical Research (8 papers), Solar Radiation and Photovoltaics (6 papers), Atmospheric and Environmental Gas Dynamics (6 papers), Geochemistry and Geologic Mapping (5 papers), Astro and Planetary Science (5 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Astronomy and Astrophysics (983 citations), Artificial Intelligence (338 citations), Computer Vision and Pattern Recognition (159 citations), Instrumentation (24 citations) and Atmospheric Science (124 citations). M. Turmon has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Monica Bobra, Xudong Sun, J. T. Hoeksema, G. Barnes, Keiji Hayashi, K. D. Leka, Yang Liu, J. M. Pap, J. Schou and A. A. Norton. Their work appears in journals such as Remote Sensing of Environment, Solar Physics, Journal of Hydrometeorology, Journal of Field Robotics and Advances in Space 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.