Michele Martone

2.2k total citations · 1 hit paper
86 papers, 1.6k citations indexed

About

Michele Martone is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Michele Martone has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Aerospace Engineering, 41 papers in Environmental Engineering and 33 papers in Atmospheric Science. Recurrent topics in Michele Martone's work include Synthetic Aperture Radar (SAR) Applications and Techniques (74 papers), Advanced SAR Imaging Techniques (48 papers) and Soil Moisture and Remote Sensing (38 papers). Michele Martone is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (74 papers), Advanced SAR Imaging Techniques (48 papers) and Soil Moisture and Remote Sensing (38 papers). Michele Martone collaborates with scholars based in Germany, Romania and Netherlands. Michele Martone's co-authors include Paola Rizzoli, Gerhard Krieger, Benjamin Bräutigam, Markus Bachmann, Carolina González, Alberto Moreira, Manfred Zink, Daniel Schulze, Birgit Wessel and Christopher Wecklich 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

Michele Martone

82 papers receiving 1.6k citations

Hit Papers

Generation and performance assessment of the global TanDE... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Martone Germany 16 1.1k 774 633 278 194 86 1.6k
Benjamin Bräutigam Germany 21 1.5k 1.4× 664 0.9× 634 1.0× 197 0.7× 146 0.8× 91 2.0k
Birgit Wessel Germany 19 975 0.9× 883 1.1× 713 1.1× 313 1.1× 344 1.8× 72 2.0k
Dirk Geudtner Netherlands 17 1.0k 0.9× 660 0.9× 483 0.8× 274 1.0× 139 0.7× 76 1.6k
Batuhan Osmanoğlu United States 16 948 0.9× 809 1.0× 381 0.6× 426 1.5× 193 1.0× 73 1.8k
S. Pettinato Italy 23 592 0.5× 1.1k 1.5× 1.6k 2.6× 210 0.8× 170 0.9× 132 2.0k
Thomas Jagdhuber Germany 24 1.1k 1.0× 966 1.2× 1.6k 2.5× 173 0.6× 270 1.4× 147 2.2k
P. S. Agram United States 24 1.2k 1.1× 730 0.9× 471 0.7× 520 1.9× 157 0.8× 74 2.2k
Alberto Refice Italy 20 665 0.6× 525 0.7× 378 0.6× 515 1.9× 563 2.9× 106 1.5k
Giovanni Macelloni Italy 26 496 0.5× 1.7k 2.2× 1.4k 2.2× 179 0.6× 135 0.7× 152 2.2k
Gulab Singh India 21 1.0k 1.0× 715 0.9× 652 1.0× 241 0.9× 76 0.4× 123 1.7k

Countries citing papers authored by Michele Martone

Since Specialization
Citations

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

Fields of papers citing papers by Michele Martone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Martone

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Martone. A scholar is included among the top collaborators of Michele Martone 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 Michele Martone. Michele Martone 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.
Martone, Michele & Armando Marino. (2023). Editorial for the Special Issue “SAR for Forest Mapping II”. Remote Sensing. 15(18). 4376–4376. 1 indexed citations
2.
Asiyabi, Reza Mohammadi, Andrei Anghel, Paola Rizzoli, Michele Martone, & Mihai Datcu. (2023). Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information. 1787–1790. 2 indexed citations
3.
Bueso–Bello, José–Luis, et al.. (2021). The Global Water Body Layer from TanDEM-X Interferometric SAR Data. Remote Sensing. 13(24). 5069–5069. 13 indexed citations
4.
Scheiber, Rolf, et al.. (2021). Chirp Selection and Data Compression for Spaceborne Wide-Swath SAR in FScan-Mode. elib (German Aerospace Center). 5 indexed citations
5.
Martone, Michele, et al.. (2020). Predictive Quantization for Data Volume Reduction in Staggered SAR Systems. IEEE Transactions on Geoscience and Remote Sensing. 58(8). 5575–5587. 10 indexed citations
6.
Sica, Francescopaolo, Michele Martone, Muriel Pinheiro, et al.. (2018). Exploiting Nonlocal Filters for High-Resolution Insar Dem Generation. elib (German Aerospace Center). 2. 2188–2191. 1 indexed citations
7.
González, Carolina, Paola Rizzoli, Michele Martone, et al.. (2017). The New Global Digital Elevation Model :TanDEM-X DEM and its Final Performance. elib (German Aerospace Center). 8978. 3 indexed citations
8.
Rizzoli, Paola, Michele Martone, Benjamin Bräutigam, Helmut Rott, & Alberto Moreira. (2016). Multi-Temporal Investigation of Greenland Ice Sheet Snow Facies using TanDEM-X Mission Data. elib (German Aerospace Center). 740. 327. 1 indexed citations
9.
Martone, Michele, et al.. (2016). Forest/Non-Forest Classification from TanDEM-X Interferometric Data by means of Multiple Fuzzy Clustering. 1–6. 3 indexed citations
10.
Bueso–Bello, José–Luis, Pau Prats, Michele Martone, Paola Rizzoli, & Benjamin Bräutigam. (2016). Performance Evaluation of the TanDEM-X Quad Polarization Acquisitions in the Science Phase. elib (German Aerospace Center). 1 indexed citations
11.
Rizzoli, Paola, Michele Martone, & Benjamin Bräutigam. (2015). Greenland ice sheet snow facies identification approach using TanDEM-X interferometric data. 38. 2060–2063. 4 indexed citations
12.
Tridon, Daniela Borla, Markus Bachmann, Johannes Böer, et al.. (2015). TanDEM-X going for the DEM: Acquisition, performance, and further activities. elib (German Aerospace Center). 32. 163–168. 4 indexed citations
13.
González, Carolina, et al.. (2014). Relative Height Error Estimation Method for TanDEM-X DEM Products. elib (German Aerospace Center). 1–4. 15 indexed citations
14.
Schulze, Daniel, Markus Bachmann, Paola Rizzoli, et al.. (2014). Status of TanDEM-X DEM Acquisition, Calibration and Performance. elib (German Aerospace Center). 1–4. 2 indexed citations
15.
Martone, Michele, et al.. (2014). Performance Evaluation of TanDEM-X Experimental Modes. 1–4. 2 indexed citations
16.
Tridon, Daniela Borla, et al.. (2014). TanDEM-X DEM Difficult Terrain & Antarctica Acquisitions towards the Planning of the Science Phase. 1–4. 5 indexed citations
17.
Martone, Michele, et al.. (2014). TanDEM-X Performance over Sandy Areas. elib (German Aerospace Center). 1–4. 8 indexed citations
18.
Bräutigam, Benjamin, Michele Martone, Paola Rizzoli, Markus Bachmann, & Gerhard Krieger. (2012). Interferometric performance of TanDEM-X Global DEM acquisitions. elib (German Aerospace Center). 89–92. 5 indexed citations
19.
Bräutigam, Benjamin, Paola Rizzoli, Michele Martone, et al.. (2012). InSAR and DEM quality monitoring of TanDEM-X. elib (German Aerospace Center). 5570–5573. 15 indexed citations
20.
Martone, Michele, Benjamin Bräutigam, Paola Rizzoli, et al.. (2012). Coherence evaluation of TanDEM-X interferometric data. ISPRS Journal of Photogrammetry and Remote Sensing. 73. 21–29. 125 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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