Konrad Heidler

557 total citations
22 papers, 294 citations indexed

About

Konrad Heidler is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine and Oceanography. According to data from OpenAlex, Konrad Heidler has authored 22 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Oceanography. Recurrent topics in Konrad Heidler's work include Cryospheric studies and observations (11 papers), Arctic and Antarctic ice dynamics (6 papers) and Winter Sports Injuries and Performance (6 papers). Konrad Heidler is often cited by papers focused on Cryospheric studies and observations (11 papers), Arctic and Antarctic ice dynamics (6 papers) and Winter Sports Injuries and Performance (6 papers). Konrad Heidler collaborates with scholars based in Germany, United Kingdom and United States. Konrad Heidler's co-authors include Xiao Xiang Zhu, Lichao Mou, A.J. Dietz, Celia A. Baumhoer, Ingmar Nitze, Guido Grosse, Mirko Scheinert, Di Hu, Guangyao Li and Chuang Gan and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Konrad Heidler

18 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Heidler Germany 8 139 53 48 47 44 22 294
Celia A. Baumhoer Germany 9 247 1.8× 48 0.9× 30 0.6× 27 0.6× 105 2.4× 17 384
Hyeungu Choi United States 7 290 2.1× 41 0.8× 56 1.2× 13 0.3× 141 3.2× 14 393
Divyesh Varade India 14 313 2.3× 74 1.4× 58 1.2× 12 0.3× 20 0.5× 42 425
Yusen Dong China 12 80 0.6× 108 2.0× 97 2.0× 57 1.2× 6 0.1× 33 370
Jean‐Marie Nicolas France 8 214 1.5× 90 1.7× 40 0.8× 31 0.7× 27 0.6× 27 435
Luigi Dini Italy 9 121 0.9× 65 1.2× 77 1.6× 7 0.1× 39 0.9× 28 303
Mike Choate United States 5 79 0.6× 44 0.8× 43 0.9× 7 0.1× 16 0.4× 11 211
Carlo Marín Italy 10 318 2.3× 62 1.2× 206 4.3× 61 1.3× 10 0.2× 42 471
Pierre Potin Italy 10 233 1.7× 85 1.6× 32 0.7× 5 0.1× 67 1.5× 15 430
Yixing Ding China 10 148 1.1× 31 0.6× 10 0.2× 10 0.2× 21 0.5× 34 388

Countries citing papers authored by Konrad Heidler

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Heidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Heidler

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

All Works

20 of 20 papers shown
1.
Xiong, Zhitong, et al.. (2026). On the foundations of Earth foundation models. Communications Earth & Environment. 7(1).
2.
Nitze, Ingmar, Konrad Heidler, T. L. Holzer, et al.. (2025). DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region. Scientific Data. 12(1). 1512–1512. 2 indexed citations
3.
Hofer, Stefan, Geir Moholdt, Ádám Ignéczi, et al.. (2025). Pervasive glacier retreats across Svalbard from 1985 to 2023. Nature Communications. 16(1). 705–705. 1 indexed citations
4.
Heidler, Konrad, et al.. (2025). A Spatio-Temporal Dataset for Satellite-Based Landslide Detection. Scientific Data. 12(1). 1772–1772.
5.
Asgarimehr, Milad, et al.. (2025). Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17386–17404.
6.
Heidler, Konrad, et al.. (2024). A high-resolution calving front data product for marine-terminating glaciers in Svalbard. Earth system science data. 16(2). 919–939. 6 indexed citations
7.
Heidler, Konrad, Ingmar Nitze, Guido Grosse, & Xiao Xiang Zhu. (2024). PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 3 indexed citations
8.
Scheinert, Mirko, et al.. (2024). Calving front monitoring at a subseasonal resolution: a deep learning application for Greenland glaciers. ˜The œcryosphere. 18(7). 3315–3332. 4 indexed citations
9.
Heidler, Konrad, et al.. (2023). DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation. Remote Sensing of Environment. 294. 113629–113629. 26 indexed citations
10.
Baumhoer, Celia A., A.J. Dietz, Konrad Heidler, & Claudia Kuenzer. (2023). IceLines – A new data set of Antarctic ice shelf front positions. Scientific Data. 10(1). 138–138. 11 indexed citations
11.
Heidler, Konrad, et al.. (2023). A Deep Active Contour Model for Delineating Glacier Calving Fronts. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 7 indexed citations
12.
Heidler, Konrad, Milad Asgarimehr, Caroline Arnold, et al.. (2023). DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks. elib (German Aerospace Center). 1182–1185. 1 indexed citations
13.
Krieger, Lukas, et al.. (2023). Deep Neural Network Based Automatic Grounding Line Delineation In Dinsar Interferograms. elib (German Aerospace Center). 183–186.
14.
Scheinert, Mirko, Martin Horwath, Konrad Heidler, et al.. (2022). Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 16 indexed citations
15.
Heidler, Konrad, Lichao Mou, Di Hu, et al.. (2022). Self-supervised audiovisual representation learning for remote sensing data. International Journal of Applied Earth Observation and Geoinformation. 116. 103130–103130. 32 indexed citations
16.
Hua, Yuansheng, Lichao Mou, Jianzhe Lin, Konrad Heidler, & Xiao Xiang Zhu. (2021). Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks. ISPRS Journal of Photogrammetry and Remote Sensing. 177. 89–102. 17 indexed citations
17.
Heidler, Konrad, Lichao Mou, & Xiao Xiang Zhu. (2021). Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. elib (German Aerospace Center). 2 indexed citations
18.
Heidler, Konrad, Lichao Mou, Celia A. Baumhoer, A.J. Dietz, & Xiao Xiang Zhu. (2021). HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 115 indexed citations
19.
Heidler, Konrad, Lichao Mou, Celia A. Baumhoer, A.J. Dietz, & Xiao Xiang Zhu. (2021). Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. elib (German Aerospace Center). 38. 3037–3040. 1 indexed citations
20.
Heidler, Konrad & Arnaud Fietzke. (2019). Remote Sensing For Assessing Drought Insurance Claims in Central Europe. abs 1707 7321. 7306–7309. 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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