Daniel W. Schmid

2.2k total citations
75 papers, 1.7k citations indexed

About

Daniel W. Schmid is a scholar working on Mechanics of Materials, Geophysics and Environmental Chemistry. According to data from OpenAlex, Daniel W. Schmid has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanics of Materials, 24 papers in Geophysics and 15 papers in Environmental Chemistry. Recurrent topics in Daniel W. Schmid's work include Hydrocarbon exploration and reservoir analysis (18 papers), Geological and Geochemical Analysis (16 papers) and Methane Hydrates and Related Phenomena (15 papers). Daniel W. Schmid is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (18 papers), Geological and Geochemical Analysis (16 papers) and Methane Hydrates and Related Phenomena (15 papers). Daniel W. Schmid collaborates with scholars based in Norway, Germany and Switzerland. Daniel W. Schmid's co-authors include Yury Podladchikov, Marcin Dąbrowski, Stefan M. Schmalholz, Marcin Krotkiewski, Karthik Iyer, Ebbe H. Hartz, Lars Rüpke, Raymond C. Fletcher, Ellen Kuhl and Sverre Planke and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Macromolecules and Earth and Planetary Science Letters.

In The Last Decade

Daniel W. Schmid

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel W. Schmid Norway 26 896 610 244 230 181 75 1.7k
Peter Tingate Australia 13 1.1k 1.3× 393 0.6× 293 1.2× 108 0.5× 126 0.7× 43 1.4k
Daniel Koehn Germany 31 1.5k 1.7× 736 1.2× 222 0.9× 563 2.4× 248 1.4× 98 2.2k
Boris Kaus Germany 35 4.2k 4.6× 466 0.8× 172 0.7× 303 1.3× 224 1.2× 124 4.8k
Nicholas W. Hayman United States 21 981 1.1× 261 0.4× 108 0.4× 86 0.4× 89 0.5× 48 1.3k
Harro Schmeling Germany 36 3.9k 4.4× 356 0.6× 186 0.8× 364 1.6× 177 1.0× 112 4.7k
Stefan M. Schmalholz Switzerland 40 3.6k 4.0× 639 1.0× 174 0.7× 369 1.6× 463 2.6× 159 4.3k
Thibault Duretz Switzerland 28 2.1k 2.4× 203 0.3× 117 0.5× 177 0.8× 89 0.5× 84 2.4k
Dag Kristian Dysthe Norway 29 716 0.8× 842 1.4× 39 0.2× 183 0.8× 457 2.5× 81 2.2k
Nibir Mandal India 23 877 1.0× 404 0.7× 67 0.3× 149 0.6× 107 0.6× 109 1.4k
Chengyan Lin China 26 369 0.4× 1.4k 2.3× 336 1.4× 278 1.2× 636 3.5× 116 2.3k

Countries citing papers authored by Daniel W. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Schmid. A scholar is included among the top collaborators of Daniel W. Schmid 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 W. Schmid. Daniel W. Schmid 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.
Abdelmalak, Mansour M., et al.. (2021). Basin modelling of a complex rift system: The Northern Vøring Volcanic Margin case example. Basin Research. 34(2). 702–726. 7 indexed citations
2.
Planke, Sverre, Benjamin Bellwald, John Millett, et al.. (2021). Permanent Carbon Sequestration Potential in Offshore Basalt Sequences on the NW European Continental Margins. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 1–5. 5 indexed citations
3.
Iyer, Karthik, Ebbe H. Hartz, & Daniel W. Schmid. (2021). METHODS TO ESTIMATE EROSION IN SEDIMENTARY BASINS. Journal of Petroleum Geology. 44(2). 121–144. 5 indexed citations
4.
Medvedev, Sergei, et al.. (2019). Influence of glaciations on North Sea petroleum systems. Geological Society London Special Publications. 494(1). 481–498. 9 indexed citations
5.
Iyer, Karthik, Henrik H. Svensen, & Daniel W. Schmid. (2018). SILLi 1.0: a 1-D numerical tool quantifying the thermal effects of sill intrusions. Geoscientific model development. 11(1). 43–60. 28 indexed citations
6.
Dąbrowski, Marcin, et al.. (2017). Effective viscoelastic properties of shales.. EGUGA. 17357. 1 indexed citations
7.
Collignon, Marine, Daniel W. Schmid, Christophe Y. Galerne, Matteo Lupi, & Adriano Mazzini. (2017). Modelling fluid flow in clastic eruptions: Application to the Lusi mud eruption. Marine and Petroleum Geology. 90. 173–190. 22 indexed citations
8.
Zastrozhnov, Dmitry, et al.. (2017). Tectonic evolution and extension at the Møre Margin – Offshore mid-Norway. Tectonophysics. 721. 227–238. 36 indexed citations
9.
Dąbrowski, Marcin, et al.. (2016). Shear Enhanced Borehole Closure. 50th U.S. Rock Mechanics/Geomechanics Symposium. 1 indexed citations
10.
Collignon, Marine, Daniel W. Schmid, & Adriano Mazzini. (2016). Fluid flow modeling at the Lusi mud eruption, East java, Indonesia.. EGUGA. 1 indexed citations
11.
Lecomte, Isabelle, et al.. (2015). Ray-based seismic modeling of geologic models: Understanding and analyzing seismic images efficiently. Interpretation. 3(4). SAC71–SAC89. 41 indexed citations
12.
Schmid, Daniel W. & Raymond C. Fletcher. (2013). Estimation of a dimensionless group containing the product of matrix viscosity and a diffusive transport parameter from data on infilling of a boudin gap by component diffusion and matrix inflow: a back-of-the-envelope model with FEM refinement. EGUGA. 1 indexed citations
13.
Clark, Stephen A., et al.. (2013). Southwest Barents Sea rift basin evolution: comparing results from backstripping and time‐forward modelling. Basin Research. 26(4). 550–566. 57 indexed citations
14.
Schmalholz, Stefan M. & Daniel W. Schmid. (2012). Folding in power-law viscous multi-layers. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1965). 1798–1826. 56 indexed citations
15.
Reber, Jacqueline E., Marcin Dąbrowski, & Daniel W. Schmid. (2010). Are sheath folds late stage flanking structures. EGU General Assembly Conference Abstracts. 9698. 1 indexed citations
16.
Dąbrowski, Marcin & Daniel W. Schmid. (2009). Mechanical anisotropy of a two-phase composite consisting of aligned elliptical inclusions .. Trabajos de Geología. 29(29). 196–199. 1 indexed citations
17.
Kaus, Boris, Taras Gerya, & Daniel W. Schmid. (2008). Recent advances in computational geodynamics: Theory, numerics and applications. Physics of The Earth and Planetary Interiors. 171(1-4). 2–6. 5 indexed citations
18.
Kaus, Boris, Yury Podladchikov, & Daniel W. Schmid. (2003). Eulerian spectral/finite difference method for large deformation modelling of visco-elasto-plastic geomaterials.. EGS - AGU - EUG Joint Assembly. 8354. 3 indexed citations
19.
Schmid, Daniel W. & Yury Podladchikov. (2003). Analytical solutions for deformable elliptical inclusions in general shear. Geophysical Journal International. 155(1). 269–288. 116 indexed citations
20.
Deters, Ralph, et al.. (2002). Knowledge-based alarm surveillance for TMN. 494–500. 3 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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