S. Heckman

2.4k total citations
41 papers, 1.8k citations indexed

About

S. Heckman is a scholar working on Astronomy and Astrophysics, Global and Planetary Change and Geophysics. According to data from OpenAlex, S. Heckman has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 23 papers in Global and Planetary Change and 9 papers in Geophysics. Recurrent topics in S. Heckman's work include Lightning and Electromagnetic Phenomena (33 papers), Fire effects on ecosystems (19 papers) and Ionosphere and magnetosphere dynamics (11 papers). S. Heckman is often cited by papers focused on Lightning and Electromagnetic Phenomena (33 papers), Fire effects on ecosystems (19 papers) and Ionosphere and magnetosphere dynamics (11 papers). S. Heckman collaborates with scholars based in United States, Brazil and China. S. Heckman's co-authors include Earle Williams, Dennis J. Boccippio, R. Boldi, Walter A. Lyons, Steven J. Goodman, Ian Baker, Thomas E. Nelson, Michael J. Taylor, Hugh J. Christian and E.-C. Huang and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

S. Heckman

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Heckman United States	19	1.6k	1.1k	410	275	212	41	1.8k
Serge Soula France	23	1.2k 0.8×	872 0.8×	347 0.8×	172 0.6×	218 1.0×	86	1.4k
Walter Lyons United States	23	1.4k 0.9×	801 0.7×	227 0.6×	206 0.7×	205 1.0×	56	1.5k
J. B. Brundell New Zealand	24	1.9k 1.2×	945 0.9×	547 1.3×	725 2.6×	133 0.6×	52	2.2k
J. Harlin United States	13	2.1k 1.3×	1.4k 1.3×	453 1.1×	223 0.8×	453 2.1×	24	2.2k
Michael Stock United States	18	1.1k 0.7×	575 0.5×	191 0.5×	203 0.7×	304 1.4×	41	1.3k
Gaopeng Lu China	28	2.1k 1.4×	1.1k 1.0×	306 0.7×	412 1.5×	531 2.5×	147	2.4k
T. Hamlin United States	17	2.2k 1.4×	1.5k 1.4×	431 1.1×	181 0.7×	480 2.3×	34	2.3k
Martin Füllekrug United Kingdom	22	1.4k 0.9×	520 0.5×	175 0.4×	577 2.1×	215 1.0×	95	1.6k
Amitabh Nag United States	23	1.5k 1.0×	821 0.8×	121 0.3×	243 0.9×	514 2.4×	63	1.6k
Michael Stewart United States	8	969 0.6×	967 0.9×	568 1.4×	180 0.7×	93 0.4×	17	1.4k

Countries citing papers authored by S. Heckman

Since Specialization

Citations

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

Fields of papers citing papers by S. Heckman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Heckman

This figure shows the co-authorship network connecting the top 25 collaborators of S. Heckman. A scholar is included among the top collaborators of S. Heckman 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 S. Heckman. S. Heckman 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

Bowers, G. S., David M. Smith, G. F. M. Martinez-McKinney, et al.. (2018). A Terrestrial Gamma‐Ray Flash inside the Eyewall of Hurricane Patricia. Journal of Geophysical Research Atmospheres. 123(10). 4977–4987. 24 indexed citations

Zhu, Yanan, Vladimir A. Rakov, M. D. Tran, et al.. (2017). Evaluation of ENTLN Performance Characteristics Based on the Ground Truth Natural and Rocket‐Triggered Lightning Data Acquired in Florida. Journal of Geophysical Research Atmospheres. 122(18). 9858–9866. 69 indexed citations

Holzworth, R. H., J. B. Brundell, C. Sloop, S. Heckman, & Craig J. Rodger. (2016). WWLLN and Earth Networks new combined Global Lightning Network: First Look. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

Bui, Vy, Lin‐Ching Chang, & S. Heckman. (2015). A Performance Study of Earth Networks Total Lighting Network (ENTLN) and Worldwide Lightning Location Network (WWLLN). 24 indexed citations

Briggs, M. S., George Priftis, V. Connaughton, et al.. (2015). Characteristics of Thunderstorms That Produce Terrestrial Gamma Ray Flashes. Bulletin of the American Meteorological Society. 97(4). 639–653. 34 indexed citations

Tran, M. D., Vladimir A. Rakov, S. Mallick, et al.. (2015). A terrestrial gamma-ray flash recorded at the Lightning Observatory in Gainesville, Florida. Journal of Atmospheric and Solar-Terrestrial Physics. 136. 86–93. 52 indexed citations

Briggs, M. S., et al.. (2014). Characterizing the TGF-Lightning Relationship Using ENTLN. AGU Fall Meeting Abstracts. 2014. 1 indexed citations

Mallick, S., Vladimir A. Rakov, T. Ngin, et al.. (2014). An Update on Testing the Performance Characteristics of the ENTLN. 4 indexed citations

Welp, L. R., Ralph F. Keeling, Ray F. Weiss, W. Paplawsky, & S. Heckman. (2013). Design and performance of a Nafion dryer for continuous operation at CO ₂ and CH ₄ air monitoring sites. Atmospheric measurement techniques. 6(5). 1217–1226. 32 indexed citations

10.

Mallick, S., Vladimir A. Rakov, J. D. Hill, et al.. (2013). Calibration of the ENTLN against rocket-triggered lightning data. 39–46. 11 indexed citations

11.

Hutchins, M. L., R. H. Holzworth, Craig J. Rodger, S. Heckman, & J. B. Brundell. (2012). WWLLN Absolute Detection Efficiencies and the Global Lightning Source Function. EGU General Assembly Conference Abstracts. 12917. 11 indexed citations

12.

Schultz, C. J., et al.. (2011). Total lightning within electrified snowfall using LMA, NLDN and WTLN measurements. AGU Fall Meeting Abstracts. 2011. 3 indexed citations

13.

Bateman, Monte G., Douglas M. Mach, S. J. Goodman, et al.. (2011). Intercomparisons of ground-based and satellite-based lightning measurements used in creating a proxy dataset for the Geostationary Lightning Mapper. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

14.

Heckman, S., et al.. (2011). Using total lightning data in severe storm prediction: Global case study analysis from north America, Brazil and Australia. 20–24. 14 indexed citations

15.

Heckman, S., et al.. (2010). The Application of Total Lightning Detection for Severe Storm Prediction. 4 indexed citations

16.

Williams, Earle, Ralph Markson, & S. Heckman. (2005). Shielding effects of trees on the measurement of the Earth's electric field: Implications for secular variations of the global electrical circuit. Geophysical Research Letters. 32(19). 15 indexed citations

17.

Ushio, Tomoo, S. Heckman, Kevin T. Driscoll, et al.. (2002). Cross-sensor comparison of the Lightning Imaging Sensor (LIS). International Journal of Remote Sensing. 23(13). 2703–2712. 10 indexed citations

18.

Sátori, Gabriella, et al.. (1999). Comparisons of Long-Term Schumann Resonance Records in Europe and North America. Histopathology. 80(2). 381–396. 5 indexed citations

19.

Heckman, S., Earle Williams, & B. Boldi. (1998). Total global lightning inferred from Schumann resonance measurements. Journal of Geophysical Research Atmospheres. 103(D24). 31775–31779. 78 indexed citations

20.

Heckman, S., et al.. (1992). The global electrical circuit as global thermometer. AIP conference proceedings. 277. 77–85. 2 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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