Mathias Karner

757 total citations
17 papers, 392 citations indexed

About

Mathias Karner is a scholar working on Geography, Planning and Development, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Mathias Karner has authored 17 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geography, Planning and Development, 7 papers in Global and Planetary Change and 6 papers in Ecological Modeling. Recurrent topics in Mathias Karner's work include Geographic Information Systems Studies (10 papers), Land Use and Ecosystem Services (7 papers) and Species Distribution and Climate Change (6 papers). Mathias Karner is often cited by papers focused on Geographic Information Systems Studies (10 papers), Land Use and Ecosystem Services (7 papers) and Species Distribution and Climate Change (6 papers). Mathias Karner collaborates with scholars based in Austria, Germany and Slovakia. Mathias Karner's 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 and has published in prestigious journals such as PLoS ONE, Technological Forecasting and Social Change and Sustainability.

In The Last Decade

Mathias Karner

17 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mathias Karner Austria	8	177	156	73	71	70	17	392
Martina Duerauer Austria	5	197 1.1×	203 1.3×	107 1.5×	69 1.0×	47 0.7×	6	357
Tobias Sturn Austria	12	223 1.3×	196 1.3×	99 1.4×	101 1.4×	133 1.9×	33	558
Jacinto Estima Portugal	9	69 0.4×	162 1.0×	63 0.9×	46 0.6×	217 3.1×	20	519
Václav Petráš United States	12	115 0.6×	140 0.9×	125 1.7×	12 0.2×	46 0.7×	41	428
Florian Albrecht Austria	11	119 0.7×	141 0.9×	80 1.1×	116 1.6×	43 0.6×	36	398
Luiz Fernando Ferreira Gomes de Assis Brazil	7	79 0.4×	91 0.6×	25 0.3×	36 0.5×	49 0.7×	15	279
Martina Dürauer Austria	7	128 0.7×	154 1.0×	81 1.1×	21 0.3×	22 0.3×	14	366
Wen Lin United Kingdom	10	73 0.4×	223 1.4×	29 0.4×	15 0.2×	110 1.6×	21	453
Graham Buchanan Italy	4	184 1.0×	141 0.9×	58 0.8×	34 0.5×	17 0.2×	5	317
Adam J. Mathews United States	12	259 1.5×	136 0.9×	361 4.9×	19 0.3×	52 0.7×	32	669

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-authorship network of co-authors of Mathias Karner

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Karner. A scholar is included among the top collaborators of Mathias Karner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathias Karner. Mathias Karner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Hadi, Hadi, Ping Yowargana, Tobias Sturn, et al.. (2022). A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia. Scientific Data. 9(1). 574–574. 3 indexed citations

Fritz, Steffen, Tobias Sturn, Mathias Karner, et al.. (2021). Crowdsourcing In-Situ Data Collection Using Gamification. 254–257. 2 indexed citations

Bayas, Juan Carlos Laso, Linda See, Myroslava Lesiv, et al.. (2021). Experiences from Recent Geo-Wiki Citizen Science Campaigns in the Creation and Sharing of New Reference Data Sets on Land Cover and Land Use . 1 indexed citations

Bayas, Juan Carlos Laso, Mathias Karner, Christian Folberth, et al.. (2020). AgroTutor: A Mobile Phone Application Supporting Sustainable Agricultural Intensification. Sustainability. 12(22). 9309–9309. 13 indexed citations

Bayas, Juan Carlos Laso, Linda See, Tobias Sturn, et al.. (2020). Crowdsourcing LUCAS: Citizens Generating Reference Land Cover and Land Use Data with a Mobile App. Land. 9(11). 446–446. 20 indexed citations

Fritz, Steffen, Tobias Sturn, Mathias Karner, et al.. (2019). FotoQuest Go: A Citizen Science Approach to the Collection of In-Situ Land Cover and Land Use Data for Calibration and Validation. IIASA PURE (International Institute of Applied Systems Analysis). 4 indexed citations

Lesiv, Myroslava, Sherilyn C. Fritz, Juan Carlos Laso Bayas, et al.. (2018). Global Field Sizes Dataset for Ecosystems Modeling. IIASA PURE (International Institute of Applied Systems Analysis). 17801. 1 indexed citations

McCallum, Ian, Linda See, Tobias Sturn, et al.. (2018). Engaging Citizens in Environmental Monitoring via Gaming. 13. 15–23. 2 indexed citations

Moorthy, Inian, Tobias Sturn, Dilek Fraisl, et al.. (2018). FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring. IIASA PURE (International Institute of Applied Systems Analysis). 8124. 1 indexed citations

10.

Lesiv, Myroslava, Linda See, Juan Carlos Laso Bayas, et al.. (2018). Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data. Land. 7(4). 118–118. 60 indexed citations

11.

Olteanu‐Raimond, Ana‐Maria, Linda See, Tobias Sturn, et al.. (2018). An Experimental Framework for Integrating Citizen and Community Science into Land Cover, Land Use, and Land Change Detection Processes in a National Mapping Agency. Land. 7(3). 103–103. 11 indexed citations

12.

Fritz, Steffen, Linda See, Christoph Perger, et al.. (2017). A global dataset of crowdsourced land cover and land use reference data. Scientific Data. 4(1). 170075–170075. 130 indexed citations

13.

See, Linda, Steffen Fritz, Tobias Sturn, et al.. (2016). Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application. IIASA PURE (International Institute of Applied Systems Analysis). 1 indexed citations

14.

Bayas, Juan Carlos Laso, Linda See, Steffen Fritz, et al.. (2016). Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology. Remote Sensing. 8(11). 905–905. 51 indexed citations

15.

Enenkel, Markus, et al.. (2015). Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic. PLoS ONE. 10(11). e0142030–e0142030. 24 indexed citations

16.

See, Linda, Steffen Fritz, Christoph Perger, et al.. (2015). Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki. Technological Forecasting and Social Change. 98. 324–335. 66 indexed citations

17.

Fritz, Steffen, Ian McCallum, Dmitry Schepaschenko, et al.. (2010). Geo-Wiki.org: Harnessing the power of volunteers, the Internet and Google Earth to collect and validate global spatial information. IIASA PURE (International Institute of Applied Systems Analysis). 2 indexed citations

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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