Mathias Karner
- Ecological Modeling top 10%
- Species Distribution and Climate Change 6
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- Geographic Information Systems Studies 10
- Media Technology top 5%
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services 7
- Ecology top 10%
- Remote Sensing in Agriculture 5
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- Data-Driven Disease Surveillance 3
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- ICT in Developing Communities 1
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- Educational Games and Gamification 1
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- Ecology, Conservation, and Geographical Studies 1
Mathias Karner
17 papers receiving 385 citations
Peers
Comparison fields: 5 of 83
- Ecological Modeling 56
- Geography, Planning and Development 70
- Media Technology 71
- Global and Planetary Change 156
- Ecology 177
Countries citing papers authored by Mathias Karner
This map shows the geographic impact of Mathias Karner'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 Karner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Karner more than expected).
Fields of papers citing papers by Mathias Karner
This network shows the impact of papers produced by Mathias Karner. 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 Karner. The network helps show where Mathias Karner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathias Karner, 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 | 2022 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 20 | |
| 6 | FotoQuest Go: A Citizen Science Approach to the Collection of In-Situ Land Cover and Land Use Data for Calibration and Validation | 2019 | 4 |
| 7 | 2018 | 2 | |
| 8 | Global Field Sizes Dataset for Ecosystems Modeling | 2018 | 1 |
| 9 | FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring | 2018 | 1 |
| 10 | 2018 | 60 | |
| 11 | 2018 | 11 | |
| 12 | 2017 | 130 | |
| 13 | Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application | 2016 | 1 |
| 14 | 2016 | 51 | |
| 15 | 2015 | 24 | |
| 16 | 2015 | 66 | |
| 17 | Geo-Wiki.org: Harnessing the power of volunteers, the Internet and Google Earth to collect and validate global spatial information | 2010 | 2 |
About Mathias Karner
Mathias Karner is a scholar working on Geography, Planning and Development, Ecological Modeling and Global and Planetary Change, having authored 17 papers that have together received 392 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (10 papers), Land Use and Ecosystem Services (7 papers), Species Distribution and Climate Change (6 papers), Remote Sensing in Agriculture (5 papers), Data-Driven Disease Surveillance (3 papers), ICT in Developing Communities (1 paper), Educational Games and Gamification (1 paper) and Ecology, Conservation, and Geographical Studies (1 paper). The work is most often cited by research in Ecological Modeling (56 citations), Geography, Planning and Development (70 citations) and Media Technology (71 citations). Mathias Karner has collaborated with scholars based in Austria, Germany and Slovakia. Frequent co-authors include Linda See, Steffen Fritz, Tobias Sturn, Dmitry Schepaschenko, Ian McCallum, Inian Moorthy, Christoph Perger, Juan Carlos Laso Bayas, Michael Obersteiner and Myroslava Lesiv. Their work appears in journals such as Scientific Data, Technological Forecasting and Social Change, Remote Sensing, PLoS ONE and Sustainability.
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.