Linda See

19.2k total citations · 5 hit papers
259 papers, 10.9k citations indexed

About

Linda See is a scholar working on Global and Planetary Change, Environmental Engineering and Geography, Planning and Development. According to data from OpenAlex, Linda See has authored 259 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Global and Planetary Change, 65 papers in Environmental Engineering and 63 papers in Geography, Planning and Development. Recurrent topics in Linda See's work include Geographic Information Systems Studies (63 papers), Land Use and Ecosystem Services (62 papers) and Remote Sensing in Agriculture (38 papers). Linda See is often cited by papers focused on Geographic Information Systems Studies (63 papers), Land Use and Ecosystem Services (62 papers) and Remote Sensing in Agriculture (38 papers). Linda See collaborates with scholars based in Austria, United Kingdom and United States. Linda See's co-authors include Steffen Fritz, Robert J. Abrahart, Christian W. Dawson, Ian McCallum, Demetris Demetriou, John Stillwell, Benjamin Bechtel, Christoph Perger, Dmitry Schepaschenko and Michael Obersteiner and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Linda See

252 papers receiving 10.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Contribution of citizen science towards international biodiversity monitoring

2016 560 citations Linda See et al. profile →
Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities

2015 532 citations Benjamin Bechtel, Paul J. Alexander et al. ISPRS International Journal of Geo-Information profile →
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

2016 302 citations Linda See, Giles M. Foody et al. ISPRS International Journal of Geo-Information profile →
Farming and the geography of nutrient production for human use: a transdisciplinary analysis

2017 278 citations Steffen Fritz, Linda See et al. profile →
Mapping citizen science contributions to the UN sustainable development goals

2020 246 citations Linda See, Inian Moorthy et al. profile →

Peers

Countries citing papers authored by Linda See

Since Specialization

Citations

This map shows the geographic impact of Linda See'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 Linda See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda See more than expected).

Fields of papers citing papers by Linda See

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda See. 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 Linda See. The network helps show where Linda See may publish in the future.

Co-authorship network of co-authors of Linda See

This figure shows the co-authorship network connecting the top 25 collaborators of Linda See. A scholar is included among the top collaborators of Linda See 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 Linda See. Linda See is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mapping drivers of tropical forest loss with satellite image time series and machine learning 2024 ·Environmental Research Letters ·(unknown), Marc Rußwurm, Lloyd Haydn Hughes, (unknown), Linda See, Jan Dirk Wegner, Devis Tuia	3
2	Improving the representation of cattle grazing patterns in the European Union 2024 ·Environmental Research Letters ·Žiga Malek, (unknown), (unknown), (unknown), Jan‐Erik Petersen, Steffen Fritz, Linda See	1
3	A harmonized data set of ruminant livestock presence and grazing data for the European Union and neighbouring countries 2024 ·Scientific Data ·Žiga Malek, (unknown), (unknown), Linda See	2
4	Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Ian McCallum, Linda See, Steffen Fritz, (unknown), Tobias Sturn, (unknown), Félix F. González-Navarro	1
5	A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia 2022 ·Scientific Data ·Hadi Hadi, Ping Yowargana, (unknown), (unknown), (unknown), (unknown), Tobias Sturn, Mathias Karner, Martina Dürauer, Linda See, Steffen Fritz, (unknown), (unknown), Dian Nuraini Melati, Febri Prasetya, (unknown), (unknown), (unknown), (unknown), Florian Kraxner	3
6	A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia 2022 ·Forests ·А. Shvidenko, Liudmila Mukhortova, Ekaterina Kapitsa, Florian Kraxner, Linda See, Anton I. Pyzhev, (unknown), (unknown), В. Н. Коротков, С.А. Барталев, Dmitry Schepaschenko	7
7	Simulating the spatial distribution of pollutant loads from pig farming using an agent-based modeling approach 2021 ·Environmental Science and Pollution Research ·(unknown), Nguyễn Thị Hương Giang, (unknown), Linda See	7
8	The Return of Nature to the Chernobyl Exclusion Zone: Increases in Forest Cover of 1.5 Times Since the 1986 Disaster 2021 ·Forests ·(unknown), Andrii Bilous, Viktor Myroniuk, (unknown), Dmitry Schepaschenko, Linda See, Florian Kraxner	20
9	Tracking Rates of Forest Disturbance and Associated Carbon Loss in Areas of Illegal Amber Mining in Ukraine Using Landsat Time Series 2020 ·Remote Sensing ·Viktor Myroniuk, Andrii Bilous, (unknown), (unknown), (unknown), (unknown), Linda See	19
10	Generating WUDAPT Level 0 data – Current status of production and evaluation 2018 ·Urban Climate ·Benjamin Bechtel, Paul J. Alexander, Christoph Beck, Jürgen Böhner, Oscar Brousse, Jason Ching, Matthias Demuzere, Cidália C. Fonte, Tamás Gál, Julia Hidalgo, Peter Hoffmann, Ariane Middel, Gerald Mills, Chao Ren, Linda See, Panagiotis Sismanidis, Marie-Leen Verdonck, Guang Xu, Yong Xu	223
11	Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data 2018 ·ISPRS International Journal of Geo-Information ·Giles M. Foody, Linda See, Steffen Fritz, Inian Moorthy, Christoph Perger, Christian Schill, Doreen S. Boyd	20
12	Engaging Citizens in Environmental Monitoring via Gaming 2018 ·Ian McCallum, Linda See, Tobias Sturn, Carl Salk, Christoph Perger, Martina Duerauer, Mathias Karner, Inian Moorthy, (unknown), Dmitry Schepaschenko, Steffen Fritz	2
13	Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) 2017 ·Urban Science ·Benjamin Bechtel, Matthias Demuzere, Panagiotis Sismanidis, Daniel Fenner, Oscar Brousse, Christoph Beck, Frieke Van Coillie, Olaf Conrad, Iphigenia Keramitsoglou, Ariane Middel, Gerald Mills, Dev Niyogi, Marco Otto, Linda See, Marie-Leen Verdonck	82
14	A global dataset of crowdsourced land cover and land use reference data 2017 ·Scientific Data ·Steffen Fritz, Linda See, Christoph Perger, Ian McCallum, Christian Schill, Dmitry Schepaschenko, Martina Duerauer, Mathias Karner, (unknown), (unknown), Myroslava Lesiv, Inian Moorthy, Carl Salk, Olha Danylo, Tobias Sturn, Franziska Albrecht, Liangzhi You, Florian Kraxner, Michael Obersteiner	130
15	Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application 2016 ·IIASA PURE (International Institute of Applied Systems Analysis) ·(unknown), Linda See, Steffen Fritz, Tobias Sturn, Mathias Karner, (unknown), Martina Dürauer, (unknown), (unknown), Inian Moorthy, Ian McCallum, (unknown), Florian Kraxner, Michael Obersteiner	1
16	Accurate Attribute Mapping from Volunteered Geographic Information: Issues of Volunteer Quantity and Quality 2014 ·The Cartographic Journal ·Giles M. Foody, Linda See, Steffen Fritz, Marijn van der Velde, Christoph Perger, Christian Schill, Doreen S. Boyd, Alexis Comber	20
17	Enhancing the role of citizen sensors in mapping: COST action TD1202 2014 ·IIASA PURE (International Institute of Applied Systems Analysis) ·Giles M. Foody, Steffen Fritz, Linda See, Norman Kerle, Glen Hart, Cidália C. Fonte	3
18	Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics 2013 ·IIASA PURE (International Institute of Applied Systems Analysis) ·Dmitry Schepaschenko, Linda See, Myroslava Lesiv, Steffen Fritz, Ian McCallum, Christoph Perger, А. Shvidenko, Florian Kraxner	3
19	Improving neural network for flood forecasting using radar data on the Upper Ping River 2011 ·Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation. ·(unknown), Linda See, Pauline E. Kneale	5
20	The Effects of Climatic Variations on Peat Swamp Forest Condition and Peat Combustibility 2011 ·SHILAP Revista de lepidopterología ·Lailan Syaufina, Ahmad Nuruddin, (unknown), Linda See, (unknown)	11

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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