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Thomas Blaschke

Active 2000–2026

142
Papers
24,371
Citations
65
h-index
121
i10-index

Citations

Citations per year for Thomas Blaschke1967: 2 citations1971: 1 citations1979: 2 citations1995: 2 citations1996: 4 citations1998: 1 citations1999: 1 citations2001: 1 citations2002: 5 citations2003: 11 citations2004: 14 citations2005: 15 citations2006: 22 citations2007: 25 citations2008: 45 citations2009: 50 citations2010: 97 citations2011: 149 citations2012: 130 citations2013: 178 citations2014: 273 citations2015: 275 citations2016: 307 citations2017: 386 citations2018: 546 citations2019: 785 citations2020: 1,080 citations2021: 1,138 citations2022: 957 citations2023: 815 citations2024: 875 citations2025: 500 citations2026: 85 citations1968–1970: no citations, so these years are not shown1972–1978: no citations, so these years are not shown1980–1994: no citations, so these years are not shown1997: no citations, so this year is not shown2000: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,021 citing papers, 20.3% of this breakdownUnited States: 1,268 citing papers, 12.7% of this breakdownGermany: 515 citing papers, 5.2% of this breakdownUnited Kingdom: 499 citing papers, 5% of this breakdownIndia: 428 citing papers, 4.3% of this breakdownItaly: 339 citing papers, 3.4% of this breakdownCanada: 277 citing papers, 2.8% of this breakdownAustralia: 265 citing papers, 2.7% of this breakdownFrance: 258 citing papers, 2.6% of this breakdownSpain: 243 citing papers, 2.4% of this breakdownAustria: 235 citing papers, 2.4% of this breakdownIran: 234 citing papers, 2.4% of this breakdown
0%20.3%Other 33.8%

Institutions

Fields

  • Environmental Science29.6%
  • Computer Science28%
  • Engineering20.8%
  • Social Sciences3.5%
  • Earth and Planetary Sciences3.5%
  • Materials Science3.2%
  • Other11.4%

Topics

  • Remote-Sensing Image Classification8.6%
  • Computational Drug Discovery Methods7.6%
  • Remote Sensing in Agriculture6%
  • Machine Learning in Materials Science4.7%
  • Land Use and Ecosystem Services3.8%
  • Remote Sensing and Land Use3.8%
  • Other65.5%

Coauthors

All papers

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  1. Molecular De Novo Design through Deep Reinforcement Learning

    Authors: Marcus Olivecrona, Thomas Blaschke, Ola Engkvist, Hongming Chen - Journal of Cheminformatics, J. Cheminformatics 2017 cited by 1,420

  2. The rise of deep learning in drug discovery

    Authors: Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, Thomas Blaschke - Drug Discovery Today 2018 cited by 1,770

  3. REINVENT 2.0: An AI Tool for De Novo Drug Design

    Authors: Thomas Blaschke, Josep Arús-Pous, Hongming Chen, Christian Margreitter, Christian Tyrchan, Ola Engkvist, Kostas Papadopoulos, Atanas Patronov - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2020 cited by 459

  4. Object based image analysis for remote sensing

    Authors: Thomas Blaschke - ISPRS Journal of Photogrammetry and Remote Sensing 2009 cited by 4,444

  5. Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

    Authors: Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Dirk Tiede, Jagannath Aryal - Remote Sensing, Remote. Sens. 2019 cited by 851

  6. Geographic Object-Based Image Analysis – Towards a new paradigm

    Authors: Thomas Blaschke, Geoffrey J. Hay, Maggi Kelly, Stefan Lang, Peter Hofmann, Elisabeth A. Addink, Raul Queiroz Feitosa, F.D. van der Meer, H.M.A. van der Werff, Frieke Van Coillie, Dirk Tiede - ISPRS Journal of Photogrammetry and Remote Sensing 2013 cited by 1,640

  7. Application of Generative Autoencoder in De Novo Molecular Design

    Authors: Thomas Blaschke, Marcus Olivecrona, Ola Engkvist, Jürgen Bajorath, Hongming Chen - Molecular Informatics 2017 cited by 404

  8. Exploring the GDB-13 chemical space using deep generative models

    Authors: Josep Arús-Pous, Thomas Blaschke, Silas Ulander, Jean-Louis Reymond, Hongming Chen, Ola Engkvist - Journal of Cheminformatics, J. Cheminformatics 2018 cited by 217

  9. Memory-assisted reinforcement learning for diverse molecular de novo design

    Authors: Thomas Blaschke, Ola Engkvist, Jürgen Bajorath, Hongming Chen - Journal of Cheminformatics 2020 cited by 131

  10. Big Earth data: disruptive changes in Earth observation data management and analysis?

    Authors: Martin Sudmanns, Dirk Tiede, Stefan Lang, Helena Bergstedt, Georg Trost, Hannah Augustin, Andrea Baraldi, Thomas Blaschke - International Journal of Digital Earth, Int. J. Digit. Earth 2019 cited by 232

  11. Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

    Authors: Sepideh Tavakkoli Piralilou, Hejar Shahabi, Abdollah A. Jarihani, Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Jagannath Aryal - Remote Sensing, Remote. Sens. 2019 cited by 187

  12. Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

    Authors: Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, Omid Ghorbanzadeh, Omid Rahmati, Thomas Blaschke - Journal of Hydrology 2020 cited by 394

  13. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

    Authors: John Richard Otukei, Thomas Blaschke - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2009 cited by 752

  14. Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping

    Authors: Khalil Gholamnia, Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Thomas Blaschke - Symmetry 2020 cited by 143

  15. UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

    Authors: Omid Ghorbanzadeh, Sansar Raj Meena, Thomas Blaschke, Jagannath Aryal - Remote Sensing, Remote. Sens. 2019 cited by 126

  16. An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran

    Authors: Mohammad Kazemi Garajeh, Farzad Malakyar, Qihao Weng, Bakhtiar Feizizadeh, Thomas Blaschke, Tobia Lakes - The Science of The Total Environment 2021 cited by 88

  17. Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery

    Authors: Hejar Shahabi, Maryam Rahimzad, Sepideh Tavakkoli Piralilou, Omid Ghorbanzadeh, Saeid Homayouni, Thomas Blaschke, Samsung Lim, Pedram Ghamisi - Remote Sensing, Remote. Sens. 2021 cited by 76

  18. A comparison of three image-object methods for the multiscale analysis of landscape structure

    Authors: Geoffrey J. Hay, Thomas Blaschke, Danielle J. Marceau, André Bouchard - ISPRS Journal of Photogrammetry and Remote Sensing 2003 cited by 394

  19. Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

    Authors: Alireza Arabameri, Sunil Saha, Jagabandhu Roy, Wei Chen, Thomas Blaschke, Dieu Tien Bui - Remote Sensing, Remote. Sens. 2020 cited by 228

  20. A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

    Authors: Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, Thomas Blaschke, Pedram Ghamisi - Remote Sensing, Remote. Sens. 2022 cited by 112

  21. Fine-tuning of a generative neural network for designing multi-target compounds

    Authors: Thomas Blaschke, Jürgen Bajorath - Journal of Computer-Aided Molecular Design, J. Comput. Aided Mol. Des. 2021 cited by 32

  22. A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis

    Authors: Bakhtiar Feizizadeh, Piotr Jankowski, Thomas Blaschke - Computers & Geosciences, Comput. Geosci. 2013 cited by 310

  23. Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model

    Authors: Omid Ghorbanzadeh, Sansar Raj Meena, Hejar Shahabi Sorman Abadi, Sepideh Tavakkoli Piralilou, Zhiyong Lv, Thomas Blaschke - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2020 cited by 64

  24. Adapting mobile map application designs to map use context: a review and call for action on potential future research themes

    Authors: Mona Bartling, Bernd Resch, Tumasch Reichenbacher, Clemens Havas, Anthony C. Robinson, Sara Irina Fabrikant, Thomas Blaschke - Cartography and Geographic Information Science 2022 cited by 36