M. M. Oo

910 total citations
18 papers, 328 citations indexed

About

M. M. Oo is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, M. M. Oo has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 5 papers in Oceanography. Recurrent topics in M. M. Oo's work include Atmospheric aerosols and clouds (11 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (6 papers). M. M. Oo is often cited by papers focused on Atmospheric aerosols and clouds (11 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (6 papers). M. M. Oo collaborates with scholars based in United States, Myanmar and Qatar. M. M. Oo's co-authors include Robert E. Holz, Fred Moshary, Barry Gross, Shobha Kondragunta, John Jackson, Hongqing Liu, L. A. Remer, István László, Jingfeng Huang and Ho‐Chun Huang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Environmental Research and Public Health.

In The Last Decade

M. M. Oo

17 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. M. Oo United States 9 253 251 49 38 36 18 328
Julien Chimot Netherlands 11 309 1.2× 334 1.3× 40 0.8× 84 2.2× 71 2.0× 16 415
T. Marbach Germany 9 263 1.0× 274 1.1× 26 0.5× 19 0.5× 26 0.7× 20 338
Kai Pong Tong Hungary 6 207 0.8× 197 0.8× 21 0.4× 13 0.3× 49 1.4× 12 296
R. Espinosa United States 8 195 0.8× 174 0.7× 20 0.4× 15 0.4× 9 0.3× 14 217
Arunas P. Kuciauskas United States 10 305 1.2× 291 1.2× 20 0.4× 29 0.8× 38 1.1× 21 380
P. Chamard Italy 9 440 1.7× 431 1.7× 35 0.7× 49 1.3× 37 1.0× 12 511
Haofei Wang China 11 249 1.0× 281 1.1× 8 0.2× 100 2.6× 72 2.0× 24 360
Jianlei Zhu China 10 301 1.2× 300 1.2× 48 1.0× 75 2.0× 28 0.8× 16 369
Xianda Gong Germany 13 298 1.2× 427 1.7× 24 0.5× 133 3.5× 35 1.0× 34 491
Yasushi Mitomi Japan 10 194 0.8× 141 0.6× 103 2.1× 3 0.1× 33 0.9× 21 271

Countries citing papers authored by M. M. Oo

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Oo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Oo

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

All Works

18 of 18 papers shown
1.
Gupta, Pawan, R. C. Levy, S. Mattoo, et al.. (2024). Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites. Atmospheric measurement techniques. 17(18). 5455–5476. 1 indexed citations
2.
Lai, Alexandra, et al.. (2020). Source Apportionment of Coarse Particulate Matter (PM10) in Yangon, Myanmar. International Journal of Environmental Research and Public Health. 17(11). 4145–4145. 14 indexed citations
3.
Zhu, Jun, Xiangao Xia, Jun Wang, et al.. (2017). Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain. Remote Sensing. 9(5). 432–432. 22 indexed citations
4.
Oo, M. M., et al.. (2016). Automated Multi-storied Car Parking System Using RFID. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 26(3). 65–81. 1 indexed citations
5.
Campbell, James R., Mark Vaughan, M. M. Oo, et al.. (2015). Distinguishing cirrus cloud presence in autonomous lidar measurements. Atmospheric measurement techniques. 8(1). 435–449. 44 indexed citations
6.
Liu, Hongqing, L. A. Remer, Jingfeng Huang, et al.. (2014). Preliminary evaluation of S‐NPP VIIRS aerosol optical thickness. Journal of Geophysical Research Atmospheres. 119(7). 3942–3962. 114 indexed citations
7.
Oo, M. M., et al.. (2013). Investigating cloud contamination in MODIS and VIIRS AOD retrievals and the impacts on air quality applications. AGUFM. 2013. 2 indexed citations
8.
Oo, M. M. & Robert E. Holz. (2011). Improving the CALIOP aerosol optical depth using combined MODIS-CALIOP observations and CALIOP integrated attenuated total color ratio. Journal of Geophysical Research Atmospheres. 116(D14). 31 indexed citations
9.
Oo, M. M., et al.. (2009). Improved MODIS Aerosol Retrieval Using Modified VIS/SWIR Surface Albedo Ratio Over Urban Scenes. IEEE Transactions on Geoscience and Remote Sensing. 48(3). 983–1000. 27 indexed citations
11.
12.
Oo, M. M., et al.. (2008). Improved MODIS aerosol retrieval using modified VIS/MIR surface albedo ratio over urban scenes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7107. 71070W–71070W. 2 indexed citations
13.
Gross, Barry, et al.. (2006). Polarization-discrimination technique to maximize the lidar signal-to-noise ratio for daylight operations. Applied Optics. 45(22). 5521–5521. 10 indexed citations
14.
Gilerson, Alexander, Jing Zhou, M. M. Oo, et al.. (2006). Retrieval of chlorophyll fluorescence from reflectance spectra through polarization discrimination: modeling and experiments. Applied Optics. 45(22). 5568–5568. 23 indexed citations
15.
Ahmed, S., Alexander Gilerson, M. M. Oo, et al.. (2006). The polarization properties of reflectance from coastal waters and the ocean-atmosphere system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6360. 636003–636003. 1 indexed citations
16.
Gilerson, Alexander, M. M. Oo, Jacek Chowdhary, et al.. (2005). Polarization discrimination fluorescence retrieval from reflectance spectra of algae in seawater: comparison of multicomponent Mie scattering and polarized radiative transfer models with laboratory and field tests. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5977. 597708–597708. 2 indexed citations
17.
Gilerson, Alexander, M. M. Oo, Jacek Chowdhary, et al.. (2005). Polarization characteristics of water-leaving radiance: application to separation of fluorescence and scattering components in coastal waters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5885. 58850C–58850C. 4 indexed citations
18.
Gross, Barry, et al.. (2005). Impact on lidar system parameters of polarization selection/tracking scheme to reduce daylight noise. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5984. 598408–598408. 5 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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