S. Martin

592 total citations
9 papers, 252 citations indexed

About

S. Martin is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, S. Martin has authored 9 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Atmospheric Science and 4 papers in Environmental Engineering. Recurrent topics in S. Martin's work include Meteorological Phenomena and Simulations (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Wind and Air Flow Studies (4 papers). S. Martin is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Wind and Air Flow Studies (4 papers). S. Martin collaborates with scholars based in Germany, Netherlands and France. S. Martin's co-authors include Jens Bange, Frank Beyrich, Björn Maronga, A.F. Moene, Oscar Hartogensis, Siegfried Raasch, D. Legain, Falk Pätzold, Gerald M. Lohmann and Daniel Martínez‐Villagrasa and has published in prestigious journals such as Atmospheric chemistry and physics, Boundary-Layer Meteorology and Atmospheric measurement techniques.

In The Last Decade

S. Martin

9 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Martin Germany	7	154	142	119	110	26	9	252
Philip Gill United Kingdom	10	251 1.6×	218 1.5×	77 0.6×	66 0.6×	14 0.5×	15	315
Zhigang Chu China	11	280 1.8×	173 1.2×	71 0.6×	79 0.7×	22 0.8×	29	380
Brian Vanderwende United States	5	112 0.7×	79 0.6×	157 1.3×	151 1.4×	41 1.6×	10	259
Peter Brugger Germany	10	131 0.9×	130 0.9×	114 1.0×	84 0.8×	67 2.6×	20	268
Donald W. McCann United States	8	293 1.9×	238 1.7×	126 1.1×	36 0.3×	22 0.8×	12	374
C. M. Shun China	7	288 1.9×	195 1.4×	142 1.2×	74 0.7×	20 0.8×	11	346
William Doyle United States	5	86 0.6×	69 0.5×	62 0.5×	78 0.7×	13 0.5×	10	150
Timothy W. Juliano United States	11	173 1.1×	197 1.4×	96 0.8×	47 0.4×	14 0.5×	39	291
Tyler Bell United States	9	205 1.3×	164 1.2×	131 1.1×	128 1.2×	31 1.2×	19	287
Gregory Meymaris United States	5	255 1.7×	137 1.0×	146 1.2×	64 0.6×	21 0.8×	12	300

Countries citing papers authored by S. Martin

Since Specialization

Citations

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

Fields of papers citing papers by S. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

1.

Weber, Tobias K. D., et al.. (2018). Eddy covariance based surface‐atmosphere exchange and crop coefficient determination in a mountainous peatland. Ecohydrology. 12(1). 5 indexed citations

2.

Lampert, Astrid, Falk Pätzold, María A. Jiménez, et al.. (2016). A study of local turbulence and anisotropy during the afternoon and evening transitionwith an unmanned aerial system and mesoscale simulation. Atmospheric chemistry and physics. 16(12). 8009–8021. 20 indexed citations

3.

Bange, Jens, et al.. (2015). On the Discrepancy in Simultaneous Observations of the Structure Parameter of Temperature Using Scintillometers and Unmanned Aircraft. Boundary-Layer Meteorology. 158(2). 257–283. 9 indexed citations

4.

Martin, S., Frank Beyrich, & Jens Bange. (2013). Observing Entrainment Processes Using a Small Unmanned Aerial Vehicle: A Feasibility Study. Boundary-Layer Meteorology. 150(3). 449–467. 23 indexed citations

5.

Martin, S. & Jens Bange. (2013). The Influence of Aircraft Speed Variations on Sensible Heat-Flux Measurements by Different Airborne Systems. Boundary-Layer Meteorology. 150(1). 153–166. 15 indexed citations

6.

Beyrich, Frank, Jens Bange, Oscar Hartogensis, et al.. (2012). Towards a Validation of Scintillometer Measurements: The LITFASS-2009 Experiment. Boundary-Layer Meteorology. 144(1). 83–112. 38 indexed citations

7.

Martin, S., Jens Bange, & Frank Beyrich. (2011). Meteorological profiling of the lower troposphere using the research UAV "M ² AV Carolo". Atmospheric measurement techniques. 4(4). 705–716. 85 indexed citations

8.

Martin, S., et al.. (2011). Spatially-Averaged Temperature Structure Parameter Over a Heterogeneous Surface Measured by an Unmanned Aerial Vehicle. Boundary-Layer Meteorology. 142(1). 55–77. 56 indexed citations

9.

Martin, S.. (2010). Comparison of temperature structure parameter measurements by UAV and scintillometer during LITFASS-2009. 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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