Gerald Baier

407 total citations
24 papers, 306 citations indexed

About

Gerald Baier is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Gerald Baier has authored 24 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Astronomy and Astrophysics. Recurrent topics in Gerald Baier's work include Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Astro and Planetary Science (4 papers) and Image and Signal Denoising Methods (3 papers). Gerald Baier is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Astro and Planetary Science (4 papers) and Image and Signal Denoising Methods (3 papers). Gerald Baier collaborates with scholars based in Japan, Germany and United States. Gerald Baier's co-authors include Naoto Yokoya, Junshi Xia, Bruno Adriano, Shunichi Koshimura, G. Weigelt, Xiao Xiang Zhu, Wei He, Danfeng Hong, Jian Kang and Begüm Demir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Gerald Baier

24 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Baier Japan 11 105 86 75 65 50 24 306
L. Wendt Austria 11 80 0.8× 44 0.5× 65 0.9× 90 1.4× 44 0.9× 49 489
Olivier D’Hondt Germany 9 77 0.7× 256 3.0× 76 1.0× 71 1.1× 19 0.4× 31 410
T. Doggett United States 6 49 0.5× 86 1.0× 13 0.2× 58 0.9× 56 1.1× 18 271
Adamo Ferro Italy 13 95 0.9× 155 1.8× 25 0.3× 163 2.5× 40 0.8× 19 459
Mark A. Folkman United States 7 131 1.2× 120 1.4× 15 0.2× 128 2.0× 72 1.4× 28 325
V. Lombardo Italy 12 66 0.6× 54 0.6× 14 0.2× 125 1.9× 93 1.9× 27 324
R. Deen United States 12 24 0.2× 175 2.0× 69 0.9× 147 2.3× 127 2.5× 41 656
B. Gopala Krishna India 10 18 0.2× 68 0.8× 30 0.4× 78 1.2× 23 0.5× 40 354
Peter J. Jarecke United States 9 178 1.7× 189 2.2× 18 0.2× 184 2.8× 92 1.8× 25 434
R. de los Reyes Germany 9 73 0.7× 76 0.9× 9 0.1× 64 1.0× 71 1.4× 48 319

Countries citing papers authored by Gerald Baier

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Baier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Baier

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Baier. A scholar is included among the top collaborators of Gerald Baier 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 Gerald Baier. Gerald Baier 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.
2.
Xia, Junshi, Naoto Yokoya, & Gerald Baier. (2022). DML: Differ-Modality Learning for Building Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 11 indexed citations
3.
Baier, Gerald, Wei He, & Naoto Yokoya. (2020). Robust Nonlocal Low-Rank SAR Time Series Despeckling Considering Speckle Correlation by Total Variation Regularization. IEEE Transactions on Geoscience and Remote Sensing. 58(11). 7942–7954. 15 indexed citations
4.
Kang, Jian, et al.. (2020). Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration. IEEE Transactions on Neural Networks and Learning Systems. 32(2). 826–840. 54 indexed citations
5.
Yokoya, Naoto, Wei He, Gerald Baier, et al.. (2020). Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 37 indexed citations
6.
Adriano, Bruno, Naoto Yokoya, Junshi Xia, Gerald Baier, & Shunichi Koshimura. (2019). Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images. 4947–4950. 3 indexed citations
7.
Adriano, Bruno, Junshi Xia, Gerald Baier, Naoto Yokoya, & Shunichi Koshimura. (2019). Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia. Remote Sensing. 11(7). 886–886. 76 indexed citations
8.
Xia, Junshi, Bruno Adriano, Gerald Baier, & Naoto Yokoya. (2019). Building Damage Mapping Via Transfer Learning. 4841–4844. 1 indexed citations
9.
Zhu, Xiao Xiang, et al.. (2018). Potential and limits of non-local means InSAR filtering for TanDEM-X high-resolution DEM generation. Remote Sensing of Environment. 218. 148–161. 13 indexed citations
10.
Schmitt, Michael, Gerald Baier, & Xiao Xiang Zhu. (2018). Potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection. ISPRS Journal of Photogrammetry and Remote Sensing. 148. 130–141. 13 indexed citations
11.
Baier, Gerald, Xiao Xiang Zhu, Marie Lachaise, Helko Breit, & Richard Bamler. (2016). Nonlocal InSAR Filtering for DEM generation and Addressing the Staircasing Effect. elib (German Aerospace Center). 10 indexed citations
12.
Baier, Gerald & Xiao Xiang Zhu. (2016). GPU-based nonlocal filtering for large scale SAR processing. elib (German Aerospace Center). 7608–7611. 3 indexed citations
13.
Hu, Jun, et al.. (2015). NON-LOCAL MEANS FILTER FOR POLARIMETRIC SAR SPECKLE REDUCTION-EXPERIMENTS USING TERRASAR-X DATA. SHILAP Revista de lepidopterología. II-3/W4. 71–77. 13 indexed citations
14.
Baier, Gerald & G. Weigelt. (1987). Speckle interferometric observations of Pluto and its moon Charon on seven different nights. 174. 295–298. 7 indexed citations
15.
Weigelt, G., et al.. (1986). High Resolution Speckle Methods For Overcoming Image Degradation Caused By The Atmosphere And Telescope Aberrations. Optical Engineering. 25(6). 256706–256706. 10 indexed citations
16.
Weigelt, G. & Gerald Baier. (1985). R 136a in the 30 Doradus nebula resolved by holographic speckle interferometry.. 150. 6 indexed citations
17.
Baier, Gerald, et al.. (1985). Speckle interferometry of T Tauri stars and related objects. 153(1). 278–280. 3 indexed citations
18.
Baier, Gerald & G. Weigelt. (1983). Speckle interferometry observations of the asteroids Juno and Amphitrite. 121(1). 137–141. 6 indexed citations
19.
Baier, Gerald, et al.. (1982). Digital speckle interferometry of Juno, Amphitrite and Pluto's moon Charon. Msngr. 30. 23. 2 indexed citations
20.
Baier, Gerald, et al.. (1980). <title>Applications Of Digital And Optical-Digital Stellar Speckle Interferometry</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 264. 58–65. 1 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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