Daniel T. Lindsey

3.2k total citations
62 papers, 2.2k citations indexed

About

Daniel T. Lindsey is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Daniel T. Lindsey has authored 62 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 43 papers in Atmospheric Science and 9 papers in Astronomy and Astrophysics. Recurrent topics in Daniel T. Lindsey's work include Meteorological Phenomena and Simulations (28 papers), Atmospheric aerosols and clouds (22 papers) and Climate variability and models (15 papers). Daniel T. Lindsey is often cited by papers focused on Meteorological Phenomena and Simulations (28 papers), Atmospheric aerosols and clouds (22 papers) and Climate variability and models (15 papers). Daniel T. Lindsey collaborates with scholars based in United States, Czechia and Germany. Daniel T. Lindsey's co-authors include Steven D. Miller, Michael Fromm, Donald W. Hillger, Curtis J. Seaman, Stephen Mills, Jeffrey D. Hawkins, Christopher D. Elvidge, Thomas F. Lee, R. Servranckx and Thomas J. Kopp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Daniel T. Lindsey

60 papers receiving 2.1k citations

Peers

Daniel T. Lindsey

GPC

Mitchell D. Goldberg United States

F. Joseph Turk United States

William Straka United States

P. Stammes Netherlands

W. A. Lahoz United Kingdom

Michael J. Pavolonis United States

Donald W. Hillger United States

Andrew K. Heidinger United States

Stanley Q. Kidder United States

Robert G. Fovell United States

Mitchell D. Goldberg United States

Daniel T. Lindsey

2.3k ×1.4

GPC

2.4k ×1.7

139 ×0.6

409 ×1.9

643 ×3.0

Citations per year, relative to Daniel T. Lindsey Daniel T. Lindsey (= 1×) peers Mitchell D. Goldberg

Countries citing papers authored by Daniel T. Lindsey

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Lindsey'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 Daniel T. Lindsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Lindsey more than expected).

Fields of papers citing papers by Daniel T. Lindsey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Lindsey. 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 Daniel T. Lindsey. The network helps show where Daniel T. Lindsey may publish in the future.

Co-authorship network of co-authors of Daniel T. Lindsey

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

All Works

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20 of 20 papers shown

Carr, James L., Heesung Chong, Xiong Liu, et al.. (2025). TEMPO at Night. Earth and Space Science. 12(10). 1 indexed citations

Lindsey, Daniel T., Andrew K. Heidinger, Pamela C. Sullivan, et al.. (2024). GeoXO: NOAA’s Future Geostationary Satellite System. Bulletin of the American Meteorological Society. 105(3). E660–E679. 12 indexed citations

Miller, Steven D., Daniel T. Lindsey, Curtis J. Seaman, & Jeremy E. Solbrig. (2020). GeoColor: A Blending Technique for Satellite Imagery. Journal of Atmospheric and Oceanic Technology. 37(3). 429–448. 19 indexed citations

Wang, Zhipeng, Xiangqian Wu, Fangfang Yu, et al.. (2020). On-orbit calibration and characterization of GOES-17 ABI IR bands under dynamic thermal condition. Journal of Applied Remote Sensing. 14(3). 10 indexed citations

Grasso, Lewis D., et al.. (2018). Improvements to Cloud-Top Brightness Temperatures Computed from the CRTM at 3.9 μm. Monthly Weather Review. 146(11). 3927–3944. 3 indexed citations

Lindsey, Daniel T., et al.. (2018). Using the GOES-16 Split Window Difference to Detect a Boundary prior to Cloud Formation. Bulletin of the American Meteorological Society. 99(8). 1541–1544. 11 indexed citations

Longmore, Scott P., Steven D. Miller, Daniel T. Lindsey, et al.. (2015). An Automated Mobile Phone Photo Relay and Display Concept Applicable to Operational Severe Weather Monitoring. Journal of Atmospheric and Oceanic Technology. 32(7). 1356–1363. 4 indexed citations

Lang, Timothy J., Steven A. Rutledge, Brenda Dolan, et al.. (2013). On the Electrification of Pyrocumulus Clouds. NASA Technical Reports Server (NASA). 1 indexed citations

Meyer, Tiffany C., Timothy J. Lang, Steven A. Rutledge, et al.. (2013). Radar and lightning analyses of gigantic jet‐producing storms. Journal of Geophysical Research Atmospheres. 118(7). 2872–2888. 22 indexed citations

10.

Lindsey, Daniel T., Jason A. Otkin, Justin Sieglaff, et al.. (2012). Synthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation. Weather and Forecasting. 27(3). 784–795. 36 indexed citations

11.

Miller, Steven D., Stephen Mills, Christopher D. Elvidge, et al.. (2012). Suomi satellite brings to light a unique frontier of nighttime environmental sensing capabilities. Proceedings of the National Academy of Sciences. 109(39). 15706–15711. 224 indexed citations

12.

Zupanski, D., Milija Županski, Lewis D. Grasso, et al.. (2011). Assimilating synthetic GOES-R radiances in cloudy conditions using an ensemble-based method. International Journal of Remote Sensing. 32(24). 9637–9659. 23 indexed citations

13.

Jankov, Isidora, Lewis D. Grasso, Manajit Sengupta, et al.. (2011). An Evaluation of Five ARW-WRF Microphysics Schemes Using Synthetic GOES Imagery for an Atmospheric River Event Affecting the California Coast. Journal of Hydrometeorology. 12(4). 618–633. 58 indexed citations

14.

Lindsey, Daniel T., et al.. (2010). The Impacts of the 9 April 2009 Dust and Smoke on Convection. Bulletin of the American Meteorological Society. 91(8). 991–996. 5 indexed citations

15.

Fromm, Michael, Daniel T. Lindsey, R. Servranckx, et al.. (2010). The Untold Story of Pyrocumulonimbus. Bulletin of the American Meteorological Society. 91(9). 1193–1210. 234 indexed citations

16.

Schumacher, Russ S., et al.. (2010). Multidisciplinary Analysis of an Unusual Tornado: Meteorology, Climatology, and the Communication and Interpretation of Warnings*. Weather and Forecasting. 25(5). 1412–1429. 26 indexed citations

17.

Setvák, Martin, Daniel T. Lindsey, Petr Novák, et al.. (2010). Satellite-observed cold-ring-shaped features atop deep convective clouds. Atmospheric Research. 97(1-2). 80–96. 68 indexed citations

18.

Setvák, Martin, et al.. (2008). Indication of water vapor transport into the lower stratosphere above midlatitude convective storms: Meteosat Second Generation satellite observations and radiative transfer model simulations. Atmospheric Research. 89(1-2). 170–180. 36 indexed citations

19.

Fromm, Michael, Omar Torres, David J. Diner, et al.. (2008). Stratospheric impact of the Chisholm pyrocumulonimbus eruption: 1. Earth‐viewing satellite perspective. Journal of Geophysical Research Atmospheres. 113(D8). 54 indexed citations

20.

Holle, Ronald L., et al.. (2004). A Small Updraft Producing a Fatal Lightning Flash. Weather and Forecasting. 19(3). 627–632. 13 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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