John Hair

1.7k total citations
27 papers, 760 citations indexed

About

John Hair is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, John Hair has authored 27 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 3 papers in Earth-Surface Processes. Recurrent topics in John Hair's work include Atmospheric aerosols and clouds (21 papers), Atmospheric chemistry and aerosols (19 papers) and Atmospheric and Environmental Gas Dynamics (16 papers). John Hair is often cited by papers focused on Atmospheric aerosols and clouds (21 papers), Atmospheric chemistry and aerosols (19 papers) and Atmospheric and Environmental Gas Dynamics (16 papers). John Hair collaborates with scholars based in United States, United Kingdom and Netherlands. John Hair's co-authors include C. A. Hostetler, R. A. Ferrare, David A. Krueger, C. Y. She, David B. Harper, S. P. Burton, M. D. Obland, Yongxiang Hu, Michael J. Behrenfeld and Giorgio Dall’Olmo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

John Hair

24 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Hair United States 13 637 525 102 68 58 27 760
Damien Josset United States 15 893 1.4× 824 1.6× 140 1.4× 57 0.8× 15 0.3× 38 1.0k
M. D. Obland United States 17 1.1k 1.7× 1.0k 1.9× 21 0.2× 57 0.8× 81 1.4× 36 1.2k
G.J. Kunz Netherlands 14 498 0.8× 543 1.0× 73 0.7× 76 1.1× 12 0.2× 49 732
Patricia L. Lucker United States 14 1.0k 1.6× 856 1.6× 231 2.3× 129 1.9× 9 0.2× 31 1.2k
Angelo Lupi Italy 18 744 1.2× 844 1.6× 29 0.3× 59 0.9× 17 0.3× 66 958
Jasper R. Lewis United States 16 1.3k 2.1× 1.2k 2.4× 23 0.2× 143 2.1× 33 0.6× 44 1.5k
S. T. Shipley United States 13 660 1.0× 601 1.1× 15 0.1× 57 0.8× 79 1.4× 28 775
C. F. Butler United States 12 1.0k 1.6× 1.1k 2.0× 15 0.1× 38 0.6× 49 0.8× 26 1.1k
Tomoaki Nishizawa Japan 22 1.2k 1.9× 1.2k 2.2× 25 0.2× 132 1.9× 17 0.3× 86 1.4k
Marta A. Fenn United States 19 1.2k 1.8× 1.2k 2.3× 23 0.2× 59 0.9× 19 0.3× 56 1.3k

Countries citing papers authored by John Hair

Since Specialization
Citations

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

Fields of papers citing papers by John Hair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hair

This figure shows the co-authorship network connecting the top 25 collaborators of John Hair. A scholar is included among the top collaborators of John Hair 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 John Hair. John Hair 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.
Chouza, Fernando, Thierry Leblanc, Steven S. Brown, et al.. (2025). The Small Mobile Ozone Lidar (SMOL): instrument description and first results. Atmospheric measurement techniques. 18(2). 405–419.
2.
Kumar, Aditya, R. Bradley Pierce, Ravan Ahmadov, et al.. (2022). Simulating wildfire emissions and plume rise using geostationary satellite fire radiative power measurements: a case study of the 2019 Williams Flats fire. Atmospheric chemistry and physics. 22(15). 10195–10219. 8 indexed citations
3.
Hair, John, et al.. (2022). Identification of Barriers Preventing Biosimiliar Oncology Medication Adoption. Medicina. 58(11). 1533–1533. 2 indexed citations
4.
Fu, Guangliang, Otto Hasekamp, Jeroen Rietjens, et al.. (2020). Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm. Atmospheric measurement techniques. 13(2). 553–573. 37 indexed citations
5.
Fu, Guangliang, Otto Hasekamp, Jeroen Rietjens, et al.. (2019). Aerosol retrievals from the ACEPOL Campaign. 2 indexed citations
6.
Nehrir, Amin R., John Hair, R. A. Ferrare, et al.. (2018). The High Altitude Lidar Observatory (HALO): A multi-function lidar and technology testbed for airborne and space-based measurements of water vapor and methane. AGU Fall Meeting Abstracts. 2018. 3 indexed citations
7.
Burton, S. P., C. A. Hostetler, Anthony L. Cook, et al.. (2018). Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES. Applied Optics. 57(21). 6061–6061. 60 indexed citations
8.
Hostetler, C. A., John Hair, M. Behrenfeld, et al.. (2014). Airborne lidar for ocean-atmosphere studies and assessment of future satellite mission concepts. 2014 AGU Fall Meeting. 2014. 2 indexed citations
10.
Sawamura, Patrícia, Detlef Müller, R. M. Hoff, et al.. (2014). Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011. Atmospheric measurement techniques. 7(9). 3095–3112. 12 indexed citations
11.
Scarino, Amy Jo, J. D. Fast, S. P. Burton, et al.. (2014). Comparison of mixed layer heights from airborne high spectral resolution lidar, ground-based measurements, and the WRF-Chem model during CalNex and CARES. Atmospheric chemistry and physics. 14(11). 5547–5560. 59 indexed citations
12.
Refaat, Tamer F., Syed Ismail, Amin R. Nehrir, et al.. (2013). Performance evaluation of a 16-µm methane DIAL system from ground, aircraft and UAV platforms. Optics Express. 21(25). 30415–30415. 36 indexed citations
13.
Behrenfeld, Michael J., Yongxiang Hu, C. A. Hostetler, et al.. (2013). Space‐based lidar measurements of global ocean carbon stocks. Geophysical Research Letters. 40(16). 4355–4360. 121 indexed citations
14.
Ziemba, Luke D., K. L. Thornhill, A. J. Beyersdorf, et al.. (2012). Airborne observations of aerosol extinction by in situ and remote‐sensing techniques: Evaluation of particle hygroscopicity. Geophysical Research Letters. 40(2). 417–422. 56 indexed citations
15.
Rogers, R. R., C. A. Hostetler, John Hair, et al.. (2011). Assessment of the CALIPSO Lidar 532 nm attenuated backscatter calibration using the NASA LaRC airborne High Spectral Resolution Lidar. Atmospheric chemistry and physics. 11(3). 1295–1311. 88 indexed citations
16.
Reagan, John A., et al.. (2010). AERONET, airborne HSRL, and CALIPSO aerosol retrievals compared and combined: A case study. Journal of Geophysical Research Atmospheres. 115(D4). 15 indexed citations
17.
Ferrare, R. A., C. A. Hostetler, John Hair, et al.. (2007). Airborne High Spectral Resolution Lidar Aerosol Measurements during MILAGRO and TEXAQS/GOMACCS. NASA Technical Reports Server (NASA). 5 indexed citations
18.
Harper, David B., Anthony L. Cook, C. A. Hostetler, John Hair, & Terry L. Mack. (2006). NASA Langley Airborne High Spectral Resolution Lidar Instrument Description. NASA Technical Reports Server (NASA). 4 indexed citations
19.
Hostetler, C. A., John Hair, & Anthony L. Cook. (2002). A Compact Airborne High Spectral Resolution Lidar for Observations of Aerosol and Cloud Optical Properties. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
20.
Hair, John & D. B. Downie. (1973). Thermodynamic properties of the Cu-Al system: correlation with bonding mechanisms. Faraday Symposia of the Chemical Society. 8. 56–56. 16 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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