Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
2015368 citationsMaxim Neumann et al.Remote Sensingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Maxim Neumann'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 Maxim Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Neumann more than expected).
This network shows the impact of papers produced by Maxim Neumann. 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 Maxim Neumann. The network helps show where Maxim Neumann may publish in the future.
Co-authorship network of co-authors of Maxim Neumann
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Neumann.
A scholar is included among the top collaborators of Maxim Neumann 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 Maxim Neumann. Maxim Neumann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhai, Xiaohua, Joan Puigcerver, Alexander Kolesnikov, et al.. (2019). The Visual Task Adaptation Benchmark. arXiv (Cornell University).22 indexed citations
Crippen, Robert E., S. Buckley, P. S. Agram, et al.. (2016). NASADEM Global Elevation Model of Earth: Methods for the Refinement and Merger of SRTM and ASTER GDEM. AGUFM. 2016.1 indexed citations
8.
Buckley, S., P. S. Agram, Andrea Belz, et al.. (2016). NASADEM Initial Production Processing Results: Shuttle Radar Topography Mission (SRTM) Reprocessing with Improvements. AGUFM. 2016.2 indexed citations
Buckley, S., P. S. Agram, Andrea Belz, et al.. (2015). NASADEM Overview and First Results: Shuttle Radar Topography Mission (SRTM) Reprocessing and Improvements. AGU Fall Meeting Abstracts. 2015.1 indexed citations
11.
Hensley, S., et al.. (2014). A Comparison of Multi-Baseline Polarimetric Inteferometry at La Amistad and La Selva, Costa Rica with a Modified PolSARProSim Scattering Tool. 1–4.1 indexed citations
12.
Neumann, Maxim, et al.. (2013). Forest Structure Characterization Using JPL's UAVSAR Multi-Baseline Polarimetric SAR Interferometry and Tomography. IEEE Asia-Pacific Conference on Synthetic Aperture Radar.2 indexed citations
Hensley, Scott, Bruce Chapman, Maxim Neumann, et al.. (2011). Polarimetric interferometric studies of the harvard forest using l-band UAVSAR data repeat pass data. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–2.1 indexed citations
Neumann, Maxim, Andreas Reigber, Stéphane Guillaso, Marc Jäger, & Olaf Hellwich. (2005). POLINSAR DATA PROCESSING WITH RAT (RADAR TOOLS). ESASP. 586. 15.2 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.