| Antiviral prodrugs–the development of successful prodrug strategies for antiviral chemotherapy E De Clercq, HJ Field British journal of pharmacology 147 (1), 1-11, 2006 | 414 | 2006 |
| A global dataset of crowdsourced land cover and land use reference data S Fritz, L See, C Perger, I McCallum, C Schill, D Schepaschenko, ... Scientific data 4 (1), 1-8, 2017 | 159 | 2017 |
| Estimating the global distribution of field size using crowdsourcing M Lesiv, JC Laso Bayas, L See, M Duerauer, D Dahlia, N Durando, ... Global change biology 25 (1), 174-186, 2019 | 149 | 2019 |
| Crowdsourcing in-situ data on land cover and land use using gamification and mobile technology JC Laso Bayas, L See, S Fritz, T Sturn, C Perger, M Dürauer, M Karner, ... Remote Sensing 8 (11), 905, 2016 | 84 | 2016 |
| 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 M Lesiv, L See, JC Laso Bayas, T Sturn, D Schepaschenko, M Karner, ... Land 7 (4), 118, 2018 | 82 | 2018 |
| Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game CF Salk, T Sturn, L See, S Fritz, C Perger International Journal of Digital Earth 9 (4), 410-426, 2016 | 74 | 2016 |
| Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki L See, S Fritz, C Perger, C Schill, I McCallum, D Schepaschenko, ... Technological Forecasting and Social Change 98, 324-335, 2015 | 66 | 2015 |
| Crowdsourcing LUCAS: Citizens generating reference land cover and land use data with a mobile app JC Laso Bayas, L See, H Bartl, T Sturn, M Karner, D Fraisl, I Moorthy, ... Land 9 (11), 446, 2020 | 29 | 2020 |
| Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring D Fraisl, L See, T Sturn, S MacFeely, A Bowser, J Campbell, I Moorthy, ... Environmental Science & Policy 128, 81-93, 2022 | 27 | 2022 |
| Limitations of majority agreement in crowdsourced image interpretation CF Salk, T Sturn, L See, S Fritz Transactions in GIS 21 (2), 207-223, 2017 | 23 | 2017 |
| Local knowledge and professional background have a minimal impact on volunteer citizen science performance in a land-cover classification task C Salk, T Sturn, L See, S Fritz Remote Sensing 8 (9), 774, 2016 | 22 | 2016 |
| The Picture Pile tool for rapid image assessment: A demonstration using Hurricane Matthew O Danylo, I Moorthy, T Sturn, L See, JC Laso Bayas, D Domian, D Fraisl, ... ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 18 | 2018 |
| Cropland Capture–a game for improving global cropland maps T Sturn, M Wimmer, C Salk, C Perger, L See, S Fritz | 17 | 2015 |
| An experimental framework for integrating citizen and community science into land cover, land use, and land change detection processes in a National Mapping Agency AM Olteanu-Raimond, L Jolivet, MD Van Damme, T Royer, L Fraval, ... Land 7 (3), 103, 2018 | 14 | 2018 |
| A global dataset of crowdsourced land cover and land use reference data. Sci. Data 4, 170075 S Fritz, L See, C Perger, I McCallum, C Schill, D Schepaschenko, ... | 13 | 2017 |
| Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience L See, JCL Bayas, M Lesiv, D Schepaschenko, O Danylo, I McCallum, ... Environmental Research Letters 17 (6), 065003, 2022 | 12 | 2022 |
| Cropland Capture: A gaming approach to improve global land cover L See, T Sturn, S Fritz, I McCallum, C Salk AGILE Digital Editions, 2014 | 11 | 2014 |
| Using citizen science to help monitor urban landscape changes and drive improvements K Wannemacher, B Birli, T Sturn, R Stiles, I Moorthy, L See, S Fritz Journal for Geographic Information Science-GI_Forum 1, 336-343, 2018 | 10 | 2018 |
| Engaging citizens in environmental monitoring via gaming I McCallum, L See, T Sturn, C Salk, C Perger, M Duerauer, M Karner, ... International Journal of Spatial Data Infrastructures Research 13, 15-23, 2018 | 10 | 2018 |
| Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data J Woodard, M Andriessen, C Cohen, C Cox, S Fritz, D Johnson, J Koo, ... | 8 | 2017 |
