Matthew Lang

620 total citations
28 papers, 336 citations indexed

About

Matthew Lang is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Molecular Biology. According to data from OpenAlex, Matthew Lang has authored 28 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 7 papers in Atmospheric Science and 6 papers in Molecular Biology. Recurrent topics in Matthew Lang's work include Solar and Space Plasma Dynamics (18 papers), Ionosphere and magnetosphere dynamics (13 papers) and Geomagnetism and Paleomagnetism Studies (6 papers). Matthew Lang is often cited by papers focused on Solar and Space Plasma Dynamics (18 papers), Ionosphere and magnetosphere dynamics (13 papers) and Geomagnetism and Paleomagnetism Studies (6 papers). Matthew Lang collaborates with scholars based in United Kingdom, United States and Germany. Matthew Lang's co-authors include M. J. Owens, Pete Riley, M. Lockwood, Philip Browne, Peter Jan van Leeuwen, Siegfried Gonzi, Luke Barnard, Christopher J. Scott, R. T. Wicks and C. N. Arge and has published in prestigious journals such as The Astrophysical Journal, Philosophical Transactions of the Royal Society B Biological Sciences and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Matthew Lang

26 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Lang United Kingdom 11 239 84 68 66 31 28 336
S. Criscuoli United States 14 444 1.9× 70 0.8× 27 0.4× 58 0.9× 23 0.7× 52 467
J. Vilppola Finland 8 308 1.3× 111 1.3× 23 0.3× 51 0.8× 26 0.8× 10 375
Gérard Thuillier France 12 293 1.2× 19 0.2× 103 1.5× 207 3.1× 54 1.7× 29 466
P. R. Goode United States 9 292 1.2× 45 0.5× 38 0.6× 51 0.8× 11 0.4× 26 337
T. Straus Italy 10 400 1.7× 76 0.9× 13 0.2× 25 0.4× 24 0.8× 34 439
Richard Wolfson United States 14 494 2.1× 161 1.9× 36 0.5× 33 0.5× 18 0.6× 45 615
I. Dorotovič Slovakia 11 388 1.6× 89 1.1× 18 0.3× 43 0.7× 27 0.9× 31 418
Chunlan Jin China 14 337 1.4× 94 1.1× 40 0.6× 39 0.6× 20 0.6× 41 410
Phillip Hess United States 16 550 2.3× 134 1.6× 29 0.4× 49 0.7× 43 1.4× 40 600
A. Sainz Dalda United States 13 421 1.8× 82 1.0× 8 0.1× 28 0.4× 27 0.9× 29 479

Countries citing papers authored by Matthew Lang

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lang. A scholar is included among the top collaborators of Matthew Lang 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 Matthew Lang. Matthew Lang 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.
Scott, Christopher J., et al.. (2025). Statistical Analysis of Comet Disconnection Events Using STEREO HI and a Data-assimilative Solar Wind Model. The Astrophysical Journal. 982(2). 66–66.
2.
Owens, M. J., Luke Barnard, M. S. Marsh, et al.. (2024). Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting. Space Weather. 22(12). 1 indexed citations
3.
Scott, Christopher J., et al.. (2023). Sensitivity of Model Estimates of CME Propagation and Arrival Time to Inner Boundary Conditions. Space Weather. 21(4). 2 indexed citations
4.
Lang, Matthew, M. J. Owens, A. W. Smith, et al.. (2023). Solar Wind Data Assimilation in an Operational Context: Use of Near‐Real‐Time Data and the Forecast Value of an L5 Monitor. Space Weather. 21(5). 7 indexed citations
5.
Barnard, Luke, M. J. Owens, Christopher J. Scott, Matthew Lang, & M. Lockwood. (2023). SIR‐HUXt—A Particle Filter Data Assimilation Scheme for CME Time‐Elongation Profiles. Space Weather. 21(6). 2 indexed citations
7.
Owens, M. J., et al.. (2022). Quantifying the Effect of ICME Removal and Observation Age for in Situ Solar Wind Data Assimilation. Space Weather. 20(8). 4 indexed citations
8.
Owens, M. J., Nachiketa Chakraborty, Matthew Lang, et al.. (2022). Rate of Change of Large-Scale Solar-Wind Structure. Solar Physics. 297(7). 6 indexed citations
9.
Owens, M. J., et al.. (2021). The Influence of Spacecraft Latitudinal Offset on the Accuracy of Corotation Forecasts. Space Weather. 19(8). 7 indexed citations
10.
Lang, Matthew, et al.. (2021). Improving Solar Wind Forecasting Using Data Assimilation. Space Weather. 19(7). 17 indexed citations
11.
Thompson, Rona L., Grégoire Broquet, Christoph Gerbig, et al.. (2020). Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1810). 20190512–20190512. 39 indexed citations
12.
Owens, M. J., Matthew Lang, Luke Barnard, et al.. (2020). A Computationally Efficient, Time-Dependent Model of the Solar Wind for Use as a Surrogate to Three-Dimensional Numerical Magnetohydrodynamic Simulations. Solar Physics. 295(3). 51 indexed citations
13.
Owens, M. J., Matthew Lang, Pete Riley, M. Lockwood, & Amos S. Lawless. (2020). Quantifying the latitudinal representivity of in situ solar wind observations. Journal of Space Weather and Space Climate. 10. 8–8. 14 indexed citations
14.
Owens, M. J., Pete Riley, Matthew Lang, & M. Lockwood. (2019). Near‐Earth Solar Wind Forecasting Using Corotation From L5: The Error Introduced By Heliographic Latitude Offset. Space Weather. 17(7). 1105–1113. 19 indexed citations
15.
Owens, M. J., Matthew Lang, Pete Riley, & David Stansby. (2019). Towards Construction of a Solar Wind “Reanalysis” Dataset: Application to the First Perihelion Pass of Parker Solar Probe. Solar Physics. 294(6). 4 indexed citations
16.
Lang, Matthew, M. J. Owens, Philip Browne, & Peter Jan van Leeuwen. (2018). Data Assimilation in the Solar Wind. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
17.
Lang, Matthew, Philip Browne, Peter Jan van Leeuwen, & M. J. Owens. (2017). Data Assimilation in the Solar Wind: Challenges and First Results. Space Weather. 15(11). 1490–1510. 31 indexed citations
18.
Lang, Matthew, et al.. (2004). The Role of Different Parameters in the Pressurant Budget of Venus Express and its Dynamic Evolution during the Mission. ESASP. 555. 1 indexed citations
19.
Lang, Matthew, et al.. (1974). Gigabyte capacities for holographic memories. Optics & Laser Technology. 6(5). 219–224. 2 indexed citations
20.
Lang, Matthew, et al.. (1971). A Contribution to the Comparison of Single Exposure and Multiple Exposure Storage Holograms. Applied Optics. 10(1). 168–168. 9 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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