Patrick Selmer

761 total citations
19 papers, 383 citations indexed

About

Patrick Selmer is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Patrick Selmer has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 2 papers in Earth-Surface Processes. Recurrent topics in Patrick Selmer's work include Atmospheric aerosols and clouds (19 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Atmospheric chemistry and aerosols (10 papers). Patrick Selmer is often cited by papers focused on Atmospheric aerosols and clouds (19 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Atmospheric chemistry and aerosols (10 papers). Patrick Selmer collaborates with scholars based in United States, United Kingdom and South Africa. Patrick Selmer's co-authors include John E. Yorks, Matthew J. McGill, E. P. Nowottnick, Stephen P. Palm, Dennis L. Hlavka, V. Stanley Scott, William D. Hart, Mark Vaughan, Sharon Rodier and S. Nicholls and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Patrick Selmer

17 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Selmer United States 9 349 298 37 34 22 19 383
E. P. Nowottnick United States 10 436 1.2× 410 1.4× 46 1.2× 24 0.7× 7 0.3× 26 461
Chih‐Wei Chiang Taiwan 10 380 1.1× 360 1.2× 17 0.5× 38 1.1× 8 0.4× 21 425
Annett Skupin Germany 9 430 1.2× 399 1.3× 71 1.9× 18 0.5× 11 0.5× 16 444
Mikhail Korenskiy France 15 591 1.7× 552 1.9× 63 1.7× 17 0.5× 7 0.3× 25 613
Mariana Adam Romania 11 282 0.8× 260 0.9× 11 0.3× 36 1.1× 14 0.6× 31 335
Markus Garhammer Germany 6 528 1.5× 498 1.7× 59 1.6× 20 0.6× 7 0.3× 6 557
Moritz Haarig Germany 16 909 2.6× 851 2.9× 104 2.8× 27 0.8× 16 0.7× 46 942
Kathleen Franke Germany 10 665 1.9× 646 2.2× 20 0.5× 20 0.6× 7 0.3× 11 699
Pablo Ortiz-Amezcua Spain 14 436 1.2× 425 1.4× 14 0.4× 64 1.9× 6 0.3× 31 475
Antti Manninen Finland 8 215 0.6× 218 0.7× 22 0.6× 77 2.3× 7 0.3× 14 264

Countries citing papers authored by Patrick Selmer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Selmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Selmer

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Selmer. A scholar is included among the top collaborators of Patrick Selmer 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 Patrick Selmer. Patrick Selmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Finlon, Joseph A., John E. Yorks, Patrick Selmer, et al.. (2025). Influence of Cloud Microphysical Properties on Airborne Lidar Measurements: Results From the IMPACTS Field Campaign. Journal of Geophysical Research Atmospheres. 130(23).
2.
Kuang, Shi, et al.. (2025). Global Aerosol Climatology from ICESat-2 Lidar Observations. Remote Sensing. 17(13). 2240–2240.
3.
Yorks, John E., et al.. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. Remote Sensing. 16(17). 3252–3252. 4 indexed citations
4.
Selmer, Patrick, et al.. (2024). A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection. Remote Sensing. 16(15). 2735–2735. 5 indexed citations
5.
Gomes, Joseph, et al.. (2024). Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data. Remote Sensing. 16(13). 2344–2344. 3 indexed citations
6.
McGill, Matthew J., et al.. (2023). Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar. SHILAP Revista de lepidopterología. 4. 5 indexed citations
7.
Rauber, Robert M., John E. Yorks, Joseph A. Finlon, et al.. (2023). Cloud-Top Phase Characterization of Extratropical Cyclones over the Northeast and Midwest United States: Results from IMPACTS. Journal of the Atmospheric Sciences. 81(2). 341–361. 3 indexed citations
8.
Nowottnick, E. P., John E. Yorks, Matthew J. McGill, et al.. (2022). Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling. Atmosphere. 13(9). 1439–1439. 12 indexed citations
9.
Yorks, John E., et al.. (2021). Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data. Atmosphere. 12(5). 606–606. 29 indexed citations
10.
Palm, Stephen P., Yuekui Yang, U. C. Herzfeld, et al.. (2021). ICESat‐2 Atmospheric Channel Description, Data Processing and First Results. Earth and Space Science. 8(8). 26 indexed citations
11.
Palm, Stephen P., Patrick Selmer, John E. Yorks, S. Nicholls, & E. P. Nowottnick. (2021). Planetary Boundary Layer Height Estimates From ICESat-2 and CATS Backscatter Measurements. SHILAP Revista de lepidopterología. 2. 21 indexed citations
12.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations. Atmospheric chemistry and physics. 20(21). 12955–12982. 36 indexed citations
13.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere compared to observations. 2 indexed citations
14.
McGill, Matthew J., Robert Swap, John E. Yorks, Patrick Selmer, & Stuart Piketh. (2020). Observation and quantification of aerosol outflow from southern Africa using spaceborne lidar. South African Journal of Science. 116(3/4). 7 indexed citations
15.
Yorks, John E., Dennis L. Hlavka, Matthew J. McGill, et al.. (2019). Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation. Atmospheric measurement techniques. 12(11). 6241–6258. 39 indexed citations
16.
Yorks, John E., Matthew J. McGill, Stephen P. Palm, et al.. (2016). An overview of the CATS level 1 processing algorithms and data products. Geophysical Research Letters. 43(9). 4632–4639. 92 indexed citations
17.
Yorks, John E., Matthew J. McGill, Stephen P. Palm, et al.. (2015). The Cloud-Aerosol Transport System (CATS): Demonstrating New Techniques for Cloud and Aerosol Measurements. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
18.
McGill, Matthew J., et al.. (2015). The Cloud-Aerosol Transport System (CATS): a technology demonstration on the International Space Station. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9612. 96120A–96120A. 77 indexed citations
19.
Yorks, John E., Matthew J. McGill, V. Stanley Scott, et al.. (2014). The Airborne Cloud–Aerosol Transport System: Overview and Description of the Instrument and Retrieval Algorithms. Journal of Atmospheric and Oceanic Technology. 31(11). 2482–2497. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by E. P. Nowottnick Breakdown of academic impact, for papers by Chih‐Wei Chiang Breakdown of academic impact, for papers by Annett Skupin Breakdown of academic impact, for papers by Mikhail Korenskiy Breakdown of academic impact, for papers by Mariana Adam Breakdown of academic impact, for papers by Markus Garhammer Breakdown of academic impact, for papers by Moritz Haarig Breakdown of academic impact, for papers by Kathleen Franke Breakdown of academic impact, for papers by Pablo Ortiz-Amezcua Breakdown of academic impact, for papers by Antti Manninen
Rankless by CCL
2026