M. E. Splitt

1.3k total citations
38 papers, 846 citations indexed

About

M. E. Splitt is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, M. E. Splitt has authored 38 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 11 papers in Astronomy and Astrophysics. Recurrent topics in M. E. Splitt's work include Meteorological Phenomena and Simulations (17 papers), Lightning and Electromagnetic Phenomena (10 papers) and Climate variability and models (10 papers). M. E. Splitt is often cited by papers focused on Meteorological Phenomena and Simulations (17 papers), Lightning and Electromagnetic Phenomena (10 papers) and Climate variability and models (10 papers). M. E. Splitt collaborates with scholars based in United States, France and Germany. M. E. Splitt's co-authors include S. M. Lazarus, John D. Horel, Lawrence B. Dunn, Bryan G. White, H. K. Rassoul, David M. Smith, J. R. Dwyer, Brian W. Grefenstette, B. J. Hazelton and Ningyu Liu and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

M. E. Splitt

36 papers receiving 791 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. E. Splitt United States 13 544 485 256 70 64 38 846
S. M. Lazarus United States 14 647 1.2× 608 1.3× 249 1.0× 113 1.6× 120 1.9× 42 995
Carlos A. Morales Brazil 20 801 1.5× 837 1.7× 206 0.8× 211 3.0× 48 0.8× 61 1.2k
Sonoyo Mukai Japan 12 576 1.1× 554 1.1× 87 0.3× 42 0.6× 73 1.1× 117 795
Abdullrahman Maghrabi Saudi Arabia 15 328 0.6× 317 0.7× 129 0.5× 125 1.8× 41 0.6× 67 771
Meta Sienkiewicz United States 8 936 1.7× 995 2.1× 87 0.3× 100 1.4× 148 2.3× 14 1.2k
Animesh Maitra India 24 694 1.3× 1.1k 2.4× 239 0.9× 237 3.4× 46 0.7× 118 1.4k
C. C. Repapis Greece 18 521 1.0× 628 1.3× 71 0.3× 190 2.7× 35 0.5× 53 982
Anirban Guha India 17 329 0.6× 307 0.6× 521 2.0× 34 0.5× 51 0.8× 81 888
Sarah A. Tessendorf United States 19 1.4k 2.7× 1.3k 2.7× 475 1.9× 113 1.6× 27 0.4× 52 1.7k
Lihang Zhou United States 14 871 1.6× 975 2.0× 70 0.3× 137 2.0× 99 1.5× 61 1.1k

Countries citing papers authored by M. E. Splitt

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Splitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. E. Splitt

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Splitt. A scholar is included among the top collaborators of M. E. Splitt 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. E. Splitt. M. E. Splitt 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.
2.
Smith, David M., et al.. (2020). Special Classes of Terrestrial Gamma Ray Flashes From RHESSI. Journal of Geophysical Research Atmospheres. 125(20). 4 indexed citations
3.
Lazarus, S. M., et al.. (2020). Extracting nearshore wave properties from video: A new method for coastal estuaries. Estuarine Coastal and Shelf Science. 246. 107053–107053. 2 indexed citations
4.
Liu, Ningyu, et al.. (2018). Thunderstorm charge structures producing gigantic jets. Scientific Reports. 8(1). 18085–18085. 18 indexed citations
5.
Lazarus, S. M., et al.. (2018). Wind driven setup in east central Florida's Indian River Lagoon: Forcings and parameterizations. Estuarine Coastal and Shelf Science. 213. 40–48. 9 indexed citations
6.
Lazarus, S. M., et al.. (2017). A Fetch-Based Statistical Method to Bias Correct and Downscale Wind Speed over Unresolved Water Bodies. Weather and Forecasting. 32(4). 1637–1657. 6 indexed citations
7.
Smith, David, et al.. (2015). The brightest TGF ever observed? - New results from the RHESSI satellite. EGU General Assembly Conference Abstracts. 4212. 1 indexed citations
8.
Smith, David M., J. R. Dwyer, M. E. Splitt, et al.. (2015). Relativistic electron avalanches as a thunderstorm discharge competing with lightning. Nature Communications. 6(1). 7845–7845. 61 indexed citations
9.
Liu, Ningyu, M. E. Splitt, S. M. Lazarus, et al.. (2015). An analysis of five negative sprite‐parent discharges and their associated thunderstorm charge structures. Journal of Geophysical Research Atmospheres. 121(2). 759–784. 29 indexed citations
10.
Splitt, M. E., S. M. Lazarus, J. R. Dwyer, et al.. (2010). Thunderstorm characteristics associated with RHESSI identified terrestrial gamma ray flashes. Journal of Geophysical Research Atmospheres. 115(A6). 47 indexed citations
11.
Lacasse, Katherine, M. E. Splitt, S. M. Lazarus, & William M. Lapenta. (2008). The Impact of High-Resolution Sea Surface Temperatures on the Simulated Nocturnal Florida Marine Boundary Layer. Monthly Weather Review. 136(4). 1349–1372. 37 indexed citations
12.
Case, Jonathan L., P. Santos-Sanz, S. M. Lazarus, et al.. (2008). A Multi-Season Study of the Effects of MODIS Sea-Surface Temperatures on Operational WRF Forecasts at NWS Miami, FL. 3 indexed citations
13.
Zavodsky, Bradley, S. M. Lazarus, Xiang Li, et al.. (2008). Intelligent Data Thinning Algorithms for Satellite Imagery. 7. III – 644. 3 indexed citations
14.
Case, Jonathan L., S. M. Lazarus, M. E. Splitt, et al.. (2008). High-Resolution Specification of the Land and Ocean Surface for Improving Regional Mesoscale Model Predictions. NASA Technical Reports Server (NASA). 1 indexed citations
15.
Smith, David M., Brian W. Grefenstette, M. E. Splitt, et al.. (2006). The Anomalous Terrestrial Gamma-ray Flash of 17 January 2004. AGU Fall Meeting Abstracts. 2006. 9 indexed citations
16.
Horel, John D., et al.. (2002). Mesowest: Cooperative Mesonets in the Western United States. Bulletin of the American Meteorological Society. 83(2). 211–225. 269 indexed citations
17.
Horel, John D., et al.. (2002). Weather Support for the 2002 Winter Olympic and Paralympic Games. Bulletin of the American Meteorological Society. 83(2). 227–240. 27 indexed citations
18.
Peppler, Randy A., C. P. Bahrmann, J. C. Barnard, et al.. (2000). ARM Southern Great Plains Site Observations of the Smoke Pall Associated with the 1998 Central American Fires. Bulletin of the American Meteorological Society. 81(11). 2563–2591. 70 indexed citations
19.
Lazarus, S. M., et al.. (1999). Application of a Cloud Analysis Package to Estimate Hydrometeor Advection over the SGP ARM CART. 1 indexed citations
20.
Richardson, S., D. Tobin, & M. E. Splitt. (1998). In situ moisture measurements at the SGP ARM CART CF during the first and second Water Vapor Intensive Observation Periods. 2163–2165 vol.4. 1 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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