Mathias Karner

18 papers receiving 416 citations

Peers

Mathias Karner
Comparison fields: 5 of 82
  • Ecological Modeling 61
  • Geography, Planning and Development 81
  • Media Technology 71
  • Global and Planetary Change 164
  • Ecology 180
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Tobias Sturn Austria
Martina Duerauer Austria
Václav Petráš United States
Florian Albrecht Austria
Andrea Pődör Hungary
Luiz Fernando Ferreira Gomes de Assis Brazil
Andrew Hunter Canada
Matej Nikšič Slovenia
Wen Lin United Kingdom
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Mathias Karner relative to Tobias Sturn Austria Tobias Sturn's profile →
Citations per field
00.5×1.5×
Tobias Sturn · 1×
Citations per year

Countries citing papers authored by Mathias Karner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mathias Karner Line = papers co-authored together Mathias Karner links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017139
2 201576
3 201861
4 201653
5 201527
6 202022
7 202014
8 201812
9
FotoQuest Go: A Citizen Science Approach to the Collection of In-Situ Land Cover and Land Use Data for Calibration and Validation
20194
10 20223
11 20212
12 20182
13
Geo-Wiki.org: Harnessing the power of volunteers, the Internet and Google Earth to collect and validate global spatial information
20102
14
Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application
20161
15
Global Field Sizes Dataset for Ecosystems Modeling
20181
16
FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring
20181
17 20211
18 20191

About Mathias Karner

Mathias Karner is a scholar working on Geography, Planning and Development, Global and Planetary Change, Ecological Modeling, Ecology and Epidemiology, having authored 18 papers that have together received 422 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), Human Mobility and Location-Based Analysis (2 papers), Remote-Sensing Image Classification (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Ecological Modeling (61 citations), Geography, Planning and Development (81 citations), Media Technology (71 citations), Global and Planetary Change (164 citations) and Ecology (180 citations). Mathias Karner has collaborated with scholars based in Austria, Germany and Vietnam. Frequent co-authors include Linda See, Steffen Fritz, Tobias Sturn, Ian McCallum, Dmitry Schepaschenko, Inian Moorthy, Christoph Perger, Juan Carlos Laso Bayas, Michael Obersteiner and Florian Kraxner. Their work appears in journals such as Scientific Data, Remote Sensing, Technological Forecasting and Social Change, Sustainability and PLoS ONE.

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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