Adrian M. Loftus

608 total citations
17 papers, 286 citations indexed

About

Adrian M. Loftus is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Adrian M. Loftus has authored 17 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Adrian M. Loftus's work include Atmospheric aerosols and clouds (13 papers), Meteorological Phenomena and Simulations (9 papers) and Atmospheric chemistry and aerosols (8 papers). Adrian M. Loftus is often cited by papers focused on Atmospheric aerosols and clouds (13 papers), Meteorological Phenomena and Simulations (9 papers) and Atmospheric chemistry and aerosols (8 papers). Adrian M. Loftus collaborates with scholars based in United States, Taiwan and Thailand. Adrian M. Loftus's co-authors include William R. Cotton, G. G. Carrió, A. M. Sayer, N. Christina Hsu, Si-Chee Tsay, Ta-Chih Hsiao, Sheng‐Hsiang Wang, Somporn Chantara, Daniel Weber and Neng‐Huei Lin and has published in prestigious journals such as Environmental Pollution, Monthly Weather Review and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Adrian M. Loftus

16 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian M. Loftus United States 8 271 251 38 15 14 17 286
Augustin Mortier France 9 247 0.9× 249 1.0× 30 0.8× 17 1.1× 22 1.6× 17 263
Alyssa Matthews United States 7 215 0.8× 199 0.8× 30 0.8× 15 1.0× 27 1.9× 20 238
Anca Nemuc Romania 8 241 0.9× 248 1.0× 48 1.3× 38 2.5× 16 1.1× 31 287
Mónica Navarro-Comas Spain 10 215 0.8× 183 0.7× 35 0.9× 18 1.2× 5 0.4× 17 247
Makiko Nakata Japan 10 190 0.7× 197 0.8× 46 1.2× 29 1.9× 8 0.6× 52 243
B. S. Meland United States 7 173 0.6× 167 0.7× 29 0.8× 16 1.1× 38 2.7× 9 198
Remo Nessler Switzerland 7 305 1.1× 300 1.2× 68 1.8× 17 1.1× 14 1.0× 10 327
Kirsten N. Fossum Ireland 6 191 0.7× 149 0.6× 38 1.0× 16 1.1× 12 0.9× 12 205
Micael A. Cecchini Brazil 8 167 0.6× 144 0.6× 54 1.4× 17 1.1× 36 2.6× 18 189
Sarvesh Garimella United States 6 117 0.4× 96 0.4× 35 0.9× 13 0.9× 12 0.9× 13 136

Countries citing papers authored by Adrian M. Loftus

Since Specialization
Citations

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

Fields of papers citing papers by Adrian M. Loftus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian M. Loftus. 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 Adrian M. Loftus. The network helps show where Adrian M. Loftus may publish in the future.

Co-authorship network of co-authors of Adrian M. Loftus

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

All Works

17 of 17 papers shown
1.
Matsui, Toshi, David B. Wolff, S. Lang, et al.. (2023). Systematic Validation of Ensemble Cloud‐Process Simulations Using Polarimetric Radar Observations and Simulator Over the NASA Wallops Flight Facility. Journal of Geophysical Research Atmospheres. 128(16). 1 indexed citations
2.
McLinden, Matthew, Adrian M. Loftus, Lihua Li, & Gerald M. Heymsfield. (2021). Application of Nonuniform Beam Filling (NUBF) Doppler Velocity Error Correction on Airborne Radar Measurements. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations
3.
Kuo, Kwo‐Sen, et al.. (2020). Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval. Maryland Shared Open Access Repository (USMAI Consortium). 5469–5472. 1 indexed citations
4.
Munchak, S. Joseph, Kwo‐Sen Kuo, Craig Pelissier, et al.. (2019). Active and Passive Radiative Transfer Simulations for GPM-Related Field Campaigns. 4553–4556. 1 indexed citations
5.
Tao, Wei‐Kuo, J. Chern, T. Iguchi, et al.. (2019). Microphysics in Goddard Multi-scale Modeling Systems: A Review. 253–316. 3 indexed citations
6.
Loftus, Adrian M.. (2018). Towards an enhanced droplet activation scheme for multi-moment bulk microphysics schemes. Atmospheric Research. 214. 442–449. 1 indexed citations
7.
Jeong, Ukkyo, Si‐Chee Tsay, James J. Butler, et al.. (2018). Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals. Journal of Geophysical Research Atmospheres. 123(8). 4221–4238. 7 indexed citations
8.
Chen, Wei‐Nai, et al.. (2017). Influences of the Long-Range Transport of Biomass-Burning Pollutants on Surface Air Quality during 7-SEAS Field Campaigns. Aerosol and Air Quality Research. 17(10). 2595–2607. 8 indexed citations
9.
Loftus, Adrian M., Si‐Chee Tsay, Cuong Nguyen, et al.. (2016). Coupled Aerosol-Cloud Systems over Northern Vietnam during 7-SEAS/BASELInE: A Radar and Modeling Perspective. Aerosol and Air Quality Research. 16(11). 2768–2785. 5 indexed citations
10.
Tsay, Si-Chee, Ta-Chih Hsiao, Adrian M. Loftus, et al.. (2016). COMMIT in 7-SEAS/BASELInE: Operation of and Observations from a Novel, Mobile Laboratory for Measuring In-Situ Properties of Aerosols and Gases. Aerosol and Air Quality Research. 16(11). 2728–2741. 6 indexed citations
11.
Sayer, A. M., N. Christina Hsu, Ta-Chih Hsiao, et al.. (2015). In-Situ and Remotely-Sensed Observations of Biomass Burning Aerosols at Doi Ang Khang, Thailand during 7-SEAS/BASELInE 2015. Aerosol and Air Quality Research. 16(11). 2786–2801. 15 indexed citations
12.
Lin, Neng‐Huei, A. M. Sayer, Sheng‐Hsiang Wang, et al.. (2014). Interactions between biomass-burning aerosols and clouds over Southeast Asia: Current status, challenges, and perspectives. Environmental Pollution. 195. 292–307. 76 indexed citations
13.
Carrió, G. G., William R. Cotton, & Adrian M. Loftus. (2014). On the response of hailstorms to enhanced CCN concentrations. Atmospheric Research. 143. 342–350. 14 indexed citations
14.
Loftus, Adrian M. & William R. Cotton. (2014). Examination of CCN impacts on hail in a simulated supercell storm with triple-moment hail bulk microphysics. Atmospheric Research. 147-148. 183–204. 46 indexed citations
15.
Loftus, Adrian M. & William R. Cotton. (2014). A triple-moment hail bulk microphysics scheme. Part II: Verification and comparison with two-moment bulk microphysics. Atmospheric Research. 150. 97–128. 18 indexed citations
16.
Loftus, Adrian M., William R. Cotton, & G. G. Carrió. (2014). A triple-moment hail bulk microphysics scheme. Part I: Description and initial evaluation. Atmospheric Research. 149. 35–57. 51 indexed citations
17.
Loftus, Adrian M., Daniel Weber, & Charles A. Doswell. (2008). Parameterized Mesoscale Forcing Mechanisms for Initiating Numerically Simulated Isolated Multicellular Convection. Monthly Weather Review. 136(7). 2408–2421. 29 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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