Andrew Molthan

1.9k total citations · 1 hit paper
62 papers, 1.4k citations indexed

About

Andrew Molthan is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Andrew Molthan has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 12 papers in Ecology. Recurrent topics in Andrew Molthan's work include Meteorological Phenomena and Simulations (27 papers), Climate variability and models (14 papers) and Remote Sensing in Agriculture (12 papers). Andrew Molthan is often cited by papers focused on Meteorological Phenomena and Simulations (27 papers), Climate variability and models (14 papers) and Remote Sensing in Agriculture (12 papers). Andrew Molthan collaborates with scholars based in United States, Australia and United Kingdom. Andrew Molthan's co-authors include Miguel O. Román, Zhuosen Wang, Ranjay Shrestha, Andreas Jechow, Xi Li, Christopher C. M. Kyba, Alejandro Sánchez de Miguel, Christopher D. Elvidge, Noam Levin and Boris A. Portnov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Andrew Molthan

55 papers receiving 1.4k citations

Hit Papers

Remote sensing of night lights: A review and an outlook f... 2019 2026 2021 2023 2019 200 400 600
What are hit papers?

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.

  1. Remote sensing of night lights: A review and an outlook for the future
    2019 604 citations Miguel O. Román, Andrew Molthan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Molthan United States 17 1.1k 418 260 218 192 62 1.4k
Ranjay Shrestha United States 16 1.0k 1.0× 249 0.6× 342 1.3× 380 1.7× 199 1.0× 38 1.4k
Qiming Zheng China 23 1.1k 1.0× 142 0.3× 368 1.4× 289 1.3× 262 1.4× 49 1.5k
Andreas Felbier Germany 11 692 0.6× 305 0.7× 276 1.1× 197 0.9× 129 0.7× 22 1.1k
Julian Zeidler Germany 15 632 0.6× 218 0.5× 440 1.7× 348 1.6× 144 0.8× 39 1.2k
Manchun Li China 21 768 0.7× 235 0.6× 579 2.2× 251 1.2× 156 0.8× 42 1.5k
Hasi Bagan Japan 16 633 0.6× 274 0.7× 280 1.1× 292 1.3× 97 0.5× 51 1.0k
Mingyi Du China 19 374 0.3× 187 0.4× 294 1.1× 95 0.4× 130 0.7× 71 896
Orhan Altan Türkiye 20 720 0.7× 271 0.6× 390 1.5× 265 1.2× 37 0.2× 45 1.4k
Harald Mehl Germany 11 520 0.5× 249 0.6× 186 0.7× 123 0.6× 44 0.2× 22 1.2k
Christian Geiß Germany 23 449 0.4× 330 0.8× 252 1.0× 236 1.1× 52 0.3× 69 1.3k

Countries citing papers authored by Andrew Molthan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Molthan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Molthan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Molthan. A scholar is included among the top collaborators of Andrew Molthan 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 Andrew Molthan. Andrew Molthan 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.
Bell, Jordan R., et al.. (2025). Modifying NISAR’s Cropland Area Algorithm to Map Cropland Extent Globally. Remote Sensing. 17(6). 1094–1094.
2.
Molthan, Andrew, et al.. (2025). The Utility of InSAR Coherence for Tornado Damage Track Identification from the 2–3 March 2020 Tennessee Tornado Outbreak. Journal of Applied Meteorology and Climatology. 64(11). 1735–1750.
3.
4.
Molthan, Andrew, et al.. (2021). Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets. Remote Sensing. 13(24). 5098–5098. 6 indexed citations
5.
Román, Miguel O., Eleanor C. Stokes, Ranjay Shrestha, et al.. (2019). Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS ONE. 14(6). e0218883–e0218883. 159 indexed citations
6.
Molthan, Andrew, et al.. (2019). Machine-Learning Image Classification and Hazard Identification of Dust and Fog in Next-Generation Geostationary Satellite Imagery. 2019. 1 indexed citations
7.
Molthan, Andrew & Jordan R. Bell. (2019). NASA Earth Science Activities Supporting Analysis and Response to Hurricanes Florence and Michael.
8.
Cohen, Sagy, Austin Raney, Dinuke Munasinghe, et al.. (2019). The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved RemoteSensing Analysis of Coastal Flooding. 1 indexed citations
9.
Cohen, Sagy, Austin Raney, Dinuke Munasinghe, et al.. (2019). The Floodwater Depth Estimation Tool (FwDET v2.0) for improved remote sensing analysis of coastal flooding. Natural hazards and earth system sciences. 19(9). 2053–2065. 70 indexed citations
10.
11.
Schultz, Lori A., Jordan R. Bell, J. Nicoll, et al.. (2018). Investigating the Use and Integration of Synthetic Aperture Radar Imagery in the Damage Survey Process within the NOAA/NWS Damage Assessment Toolkit (DAT). 1 indexed citations
12.
Schultz, Lori A., et al.. (2017). Verification and Enhancement of VIIRS Day-Night Band (DNB) Power Outage Detection Product. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
13.
Molthan, Andrew, et al.. (2017). Transforming Satellite Data into Weather Forecasts. Eos. 98(3). 26–30. 17 indexed citations
14.
Molthan, Andrew, et al.. (2015). Applications of Earth Remote Sensing for Identifying Tornado and Severe Weather Damage. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
15.
Bell, Jordan R., et al.. (2015). Development of a Near-Real Time Hail Damage Swath Identification Algorithm for Vegetation. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
16.
Schultz, Lori A., et al.. (2015). Supporting Disaster Assessment and Response with the VIIRS Day-Night Band. 2 indexed citations
17.
Molthan, Andrew, et al.. (2014). Clouds in the Cloud: Weather Forecasts and Applications within Cloud Computing Environments. Bulletin of the American Meteorological Society. 96(8). 1369–1379. 18 indexed citations
18.
Molthan, Andrew, et al.. (2013). Multi-sensor examination of hail damage swaths for near real-time applications and assessment. 1(13). 144–156. 13 indexed citations
19.
Molthan, Andrew, et al.. (2011). NASA satellite data assist in tornado damage assessments. Eos. 92(40). 337–339. 10 indexed citations
20.
Molthan, Andrew, et al.. (2008). The Super Tuesday Outbreak: Forecast Sensitivities to Single-Moment Microphysics Schemes. NASA STI Repository (National Aeronautics and Space Administration). 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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