Mathias Disney
Impact in
- Environmental Engineering top 0.05%
- Remote Sensing and LiDAR Applications
- Nature and Landscape Conservation top 0.2%
- Forest ecology and management
Papers in
-
- Remote Sensing and LiDAR Applications 105
-
- Forest ecology and management 74
- Ecology and Vegetation Dynamics Studies 11
- Co-authors
- P. LewisKim CaldersAndrew BurtPasi RaumonenJohn ArmstonPhil WilkesMartin HeroldM. Kaasalainen
- Journals
- Remote Sensing of Environment (21 papers)Remote Sensing (10 papers)Agricultural and Forest Meteorology (10 papers)Methods in Ecology and Evolution (8 papers)Frontiers in Forests and Global Change (6 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Mathias Disney
153 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Environmental Engineering 5.7k
- Nature and Landscape Conservation 3.8k
- Ecology 4.0k
- Global and Planetary Change 3.0k
- Insect Science 1.4k
Countries citing papers authored by Mathias Disney
This map shows the geographic impact of Mathias Disney'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 Mathias Disney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Disney more than expected).
Fields of papers citing papers by Mathias Disney
This network shows the impact of papers produced by Mathias Disney. 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 Mathias Disney. The network helps show where Mathias Disney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathias Disney, 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 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 50 | |
| 8 | 2022 | 72 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 29 | |
| 15 | 2018 | 70 | |
| 16 | 2018 | 126 | |
| 17 | 2016 | 12 | |
| 18 | A Model-Data Fusion Approach for Constraining Modeled GPP at Global Scales Using GOME2 SIF Data | 2015 | 1 |
| 19 | Nondestructive estimates of above‐ground biomass using terrestrial laser scanning Hit paper breakdown → | 2014 | 508 |
| 20 | Comparison of Hymap/E-SAR data with models for optical reflectance and microwave scattering from vegetation canopies | 2002 | 1 |
About Mathias Disney
Mathias Disney is a scholar working on Environmental Engineering, Nature and Landscape Conservation, Ecology, Global and Planetary Change and Ecological Modeling, having authored 160 papers that have together received 8.1k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (105 papers), Remote Sensing in Agriculture (84 papers), Forest ecology and management (74 papers), Plant Water Relations and Carbon Dynamics (34 papers), Forest Ecology and Biodiversity Studies (20 papers), Ecology and Vegetation Dynamics Studies (11 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Species Distribution and Climate Change (9 papers). The work is most often cited by research in Environmental Engineering (5.7k citations), Nature and Landscape Conservation (3.8k citations), Ecology (4.0k citations), Global and Planetary Change (3.0k citations) and Insect Science (1.4k citations). Mathias Disney has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include P. Lewis, Kim Calders, Andrew Burt, Pasi Raumonen, John Armston, Phil Wilkes, Martin Herold, M. Kaasalainen, Tristan Quaife and Harm Bartholomeus. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, Agricultural and Forest Meteorology, Methods in Ecology and Evolution and Frontiers in Forests and Global Change.
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.