Martin Gade

2.6k total citations
102 papers, 1.8k citations indexed

About

Martin Gade is a scholar working on Oceanography, Pollution and Aerospace Engineering. According to data from OpenAlex, Martin Gade has authored 102 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Oceanography, 37 papers in Pollution and 24 papers in Aerospace Engineering. Recurrent topics in Martin Gade's work include Ocean Waves and Remote Sensing (48 papers), Oil Spill Detection and Mitigation (37 papers) and Oceanographic and Atmospheric Processes (31 papers). Martin Gade is often cited by papers focused on Ocean Waves and Remote Sensing (48 papers), Oil Spill Detection and Mitigation (37 papers) and Oceanographic and Atmospheric Processes (31 papers). Martin Gade collaborates with scholars based in Germany, China and Indonesia. Martin Gade's co-authors include Werner Alpers, Vittorio Barale, Heinrich Hühnerfuß, Christian Melsheimer, Philipp Lange, V. Wismann, Tatsuharu Kobayashi, Harunobu Masuko, Nicole Braun and S.A. Ermakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Martin Gade

92 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Gade Germany 24 1.4k 767 386 320 237 102 1.8k
P. Clemente‐Colón United States 25 1.2k 0.8× 314 0.4× 1.2k 3.2× 404 1.3× 275 1.2× 77 2.2k
Knut‐Frode Dagestad Norway 19 943 0.7× 323 0.4× 493 1.3× 224 0.7× 185 0.8× 48 1.3k
Brian K. Haus United States 28 2.5k 1.8× 260 0.3× 1.7k 4.4× 679 2.1× 766 3.2× 103 3.2k
Giacomo De Carolis Italy 15 457 0.3× 199 0.3× 314 0.8× 117 0.4× 82 0.3× 49 781
Cortis Cooper United States 17 564 0.4× 540 0.7× 505 1.3× 341 1.1× 374 1.6× 56 1.5k
Biao Zhang China 28 2.1k 1.5× 244 0.3× 1.4k 3.7× 259 0.8× 716 3.0× 77 2.4k
Yijun He China 29 2.0k 1.5× 118 0.2× 1.0k 2.7× 363 1.1× 498 2.1× 202 2.5k
Xianqing Lv China 19 1.0k 0.7× 134 0.2× 473 1.2× 326 1.0× 168 0.7× 158 1.4k
Robert G. Steward United States 17 2.7k 1.9× 210 0.3× 241 0.6× 715 2.2× 94 0.4× 34 3.3k
Lianyuan Zheng United States 26 1.4k 1.0× 302 0.4× 809 2.1× 462 1.4× 397 1.7× 50 1.9k

Countries citing papers authored by Martin Gade

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gade

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gade. A scholar is included among the top collaborators of Martin Gade 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 Martin Gade. Martin Gade 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.
Davies, Bede Ffinian Rowe, Philippe Rosa, María Laura Zoffoli, et al.. (2025). An initial map of European intertidal seagrass. Remote Sensing of Environment. 333. 115116–115116.
2.
Li, Xiao‐Ming, et al.. (2024). Ocean eddy detection based on YOLO deep learning algorithm by synthetic aperture radar data. Remote Sensing of Environment. 307. 114139–114139. 25 indexed citations
3.
Zhang, Di, et al.. (2024). TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images. Remote Sensing. 16(6). 972–972. 2 indexed citations
4.
Zhang, Di, et al.. (2023). EddyDet: A Deep Framework for Oceanic Eddy Detection in Synthetic Aperture Radar Images. Remote Sensing. 15(19). 4752–4752. 3 indexed citations
5.
Bode, Antonio, Fatima F Abrantes, Agostinho Antunes, et al.. (2019). MDPI Oceans: A New Publication Channel for Open Access Science Focused on the Ocean. Australasian Journal of Paramedicine. 1(1). 1–5. 1 indexed citations
6.
Gade, Martin, et al.. (2019). Updated Eddy Statistics For The Western Mediterranean Based On Three Years Of Sentinel-1A Sar Imagery. i. 8086–8089. 2 indexed citations
7.
Setiawan, Agus, et al.. (2018). Environmental assessment of Pari Island towards oil spill using Geographic Information System (GIS): a preliminary study. IOP Conference Series Earth and Environmental Science. 162. 12008–12008. 2 indexed citations
8.
Setiawan, Agus, et al.. (2016). The Assessment of Oil Pollution in Seribu Islands Based on Remote Sensing and Numerical Models. ESASP. 740. 218. 3 indexed citations
9.
Gade, Martin, et al.. (2016). Using SAR Data for a Numerical Assessment of the Indonesian Coastal Environment. 740. 51. 3 indexed citations
10.
Gade, Martin, et al.. (2016). After the Great Floods: SAR-Driven Archaeology on Exposed Intertidal Flats. ESASP. 740. 52. 2 indexed citations
11.
Müller, Gabriele, et al.. (2016). Remotely sensing the German Wadden Sea—a new approach to address national and international environmental legislation. Environmental Monitoring and Assessment. 188(10). 595–595. 23 indexed citations
12.
Gade, Martin, et al.. (2013). Submesoscale eddies seen by spaceborne radar. Open Repository and Bibliography (University of Liège). 6 indexed citations
13.
Gade, Martin, et al.. (2013). On the Use of Multi-Frequency SAR Data to Improve the Monitoring of Intertidal Flats on the German North Sea Coast. ESASP. 709. 38. 1 indexed citations
14.
Gade, Martin, et al.. (2013). Mesoscale Variabilities In Sea Surface Current Fields Derived Through Multi-Sensor Tracking Of Sea Surface Films. ESASP. 722. 102. 1 indexed citations
15.
Gade, Martin, et al.. (2010). Evaluation of High-Resolution Sea Surface Current Fields in the Baltic Sea Derived from Multi-Sensor Satellite Imagery. 686. 504. 1 indexed citations
16.
Gade, Martin. (2006). Marine surface films : chemical characteristics, influence on air-sea interactions and remote sensing. CERN Document Server (European Organization for Nuclear Research). 15 indexed citations
17.
Gade, Martin, Vittorio Barale, & Helen M. Snaith. (2003). Multisensor monitoring of plume dynamics in the northwestern Mediterranean Sea. Journal of Coastal Conservation. 9(1). 91–91. 7 indexed citations
18.
Schlick, T., Martin Gade, H.-H. Essen, Klaus-Werner Gurgel, & Philipp Lange. (2003). W-band radar backscattering at low grazing angles measured in a wave tank at various wind speeds. 3. 1825–1827. 1 indexed citations
19.
Gade, Martin & Werner Alpers. (1999). Using ERS-2 SAR images for routine observation of marine pollution in European coastal waters. The Science of The Total Environment. 237-238. 441–448. 96 indexed citations
20.
Gade, Martin. (1998). Imaging of biogenic and anthropogenic ocean surface films by the multifrequency/multipolarization SIR-C/X-SAR. Journal of Geophysical Research Atmospheres. 103(C9). 18851–18866. 73 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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