M. Dörr

1.6k total citations
53 papers, 1.1k citations indexed

About

M. Dörr is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computational Mechanics. According to data from OpenAlex, M. Dörr has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 16 papers in Astronomy and Astrophysics and 13 papers in Computational Mechanics. Recurrent topics in M. Dörr's work include Magnetic confinement fusion research (20 papers), Laser-Plasma Interactions and Diagnostics (18 papers) and Ionosphere and magnetosphere dynamics (16 papers). M. Dörr is often cited by papers focused on Magnetic confinement fusion research (20 papers), Laser-Plasma Interactions and Diagnostics (18 papers) and Ionosphere and magnetosphere dynamics (16 papers). M. Dörr collaborates with scholars based in United States, Germany and Italy. M. Dörr's co-authors include Phillip Colella, Ivo Babuška, J. Hittinger, James Belak, Ming Tang, M. Dorf, Daniel Martín, Elbridge Gerry Puckett, E. A. Williams and B. I. Cohen and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and The Journal of Physical Chemistry C.

In The Last Decade

M. Dörr

50 papers receiving 1.0k 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. Dörr United States 18 446 361 315 239 205 53 1.1k
Jeffrey W. Banks United States 21 801 1.8× 212 0.6× 147 0.5× 201 0.8× 173 0.8× 75 1.2k
Andrew Christlieb United States 22 924 2.1× 143 0.4× 74 0.2× 314 1.3× 135 0.7× 99 1.5k
Ruben Specogna Italy 18 285 0.6× 79 0.2× 179 0.6× 684 2.9× 360 1.8× 144 1.1k
G. Rubinacci Italy 28 224 0.5× 794 2.2× 414 1.3× 1.1k 4.5× 454 2.2× 159 2.3k
François Rogier France 16 275 0.6× 80 0.2× 69 0.2× 471 2.0× 162 0.8× 48 849
J. Christiansen Canada 8 426 1.0× 292 0.8× 113 0.4× 101 0.4× 93 0.5× 10 1.3k
U. Shumlak United States 21 401 0.9× 1.0k 2.8× 189 0.6× 324 1.4× 263 1.3× 126 1.5k
Robert N. Rieben United States 18 705 1.6× 86 0.2× 84 0.3× 263 1.1× 161 0.8× 37 1.0k
J. Breil France 22 1.2k 2.8× 485 1.3× 391 1.2× 61 0.3× 234 1.1× 58 1.8k
Katharina Kormann Germany 11 328 0.7× 110 0.3× 71 0.2× 175 0.7× 103 0.5× 39 639

Countries citing papers authored by M. Dörr

Since Specialization
Citations

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

Fields of papers citing papers by M. Dörr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Dörr

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dörr. A scholar is included among the top collaborators of M. Dörr 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. Dörr. M. Dörr 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.
Dorf, M., M. Dörr, & Debojyoti Ghosh. (2024). Development of an implicit electromagnetic capability for a hybrid gyrokinetic ion‐fluid electron model. Contributions to Plasma Physics. 64(7-8). 1 indexed citations
2.
Dorf, M. & M. Dörr. (2022). Modelling of electrostatic ion‐scale turbulence in divertor tokamaks with the gyrokinetic code COGENT. Contributions to Plasma Physics. 62(5-6). 2 indexed citations
3.
Dorf, M., et al.. (2018). High-order finite-volume modeling of drift waves. Journal of Computational Physics. 373. 446–454. 3 indexed citations
4.
Dorf, M., M. Dörr, R. H. Cohen, T.D. Rognlien, & J. Hittinger. (2014). Modeling of ion orbit loss and intrinsic toroidal rotation with the COGENT code. Bulletin of the American Physical Society. 2014. 1 indexed citations
5.
Dorf, M., R. H. Cohen, M. Dörr, J. Hittinger, & T.D. Rognlien. (2014). Progress with the COGENT Edge Kinetic Code: Implementing the Fokker‐Planck Collision Operator. Contributions to Plasma Physics. 54(4-6). 517–523. 17 indexed citations
6.
Dorf, M., R. H. Cohen, M. Dörr, et al.. (2013). Simulation of neoclassical transport with the continuum gyrokinetic code COGENT. Physics of Plasmas. 20(1). 16 indexed citations
7.
Dorf, M., R. H. Cohen, M. Dörr, et al.. (2013). Numerical modelling of geodesic acoustic mode relaxation in a tokamak edge. Nuclear Fusion. 53(6). 63015–63015. 12 indexed citations
8.
Dörr, M., et al.. (2012). New Evaporation Technology for Rear Side Metallization of High Efficiency Solar Cells. EU PVSEC. 1185–1187. 2 indexed citations
9.
Colella, Phillip, M. Dörr, J. Hittinger, & Daniel Martín. (2011). High-order, finite-volume methods in mapped coordinates. Journal of Computational Physics. 230(8). 2952–2976. 70 indexed citations
10.
Rognlien, T.D., R. H. Cohen, A. M. Dimits, et al.. (2010). Advances in Understanding Tokamak Edge/Scrape-Off Layer Transport. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Belak, James, P. E. A. Turchi, M. Dörr, et al.. (2009). Coupling of Atomistic and Meso-scale Phase-field Modeling of Rapid Solidification. Bulletin of the American Physical Society. 2 indexed citations
12.
Colella, Phillip, et al.. (2009). High-order finite-volume adaptive methods on locally rectangular grids. Journal of Physics Conference Series. 180. 12010–12010. 12 indexed citations
13.
Xu, X. Q., E. A. Belli, J. Candy, et al.. (2009). Dynamics of kinetic geodesic-acoustic modes and the radial electric field in tokamak neoclassical plasmas. Nuclear Fusion. 49(6). 65023–65023. 15 indexed citations
14.
Glenzer, S. H., D. H. Froula, L. Divol, et al.. (2005). Laser Beam Propagation Through Long Ignition Scale Plasmas on NIF. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 131–131. 3 indexed citations
15.
Hittinger, J., M. Dörr, R. L. Berger, & E. A. Williams. (2005). Simulating time-dependent energy transfer between crossed laser beams in an expanding plasma. Journal of Computational Physics. 209(2). 695–729. 17 indexed citations
16.
Kirkwood, R. K., J. D. Moody, A. B. Langdon, et al.. (2002). Observation of Saturation of Energy Transfer between Copropagating Beams in a Flowing Plasma. Physical Review Letters. 89(21). 215003–215003. 42 indexed citations
17.
Puckett, Elbridge Gerry, et al.. (1996). <title>Two new methods for simulating photolithography development in 3D</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2726. 253–261. 88 indexed citations
18.
Dörr, M.. (1986). The Approximation of Solutions of Elliptic Boundary-Value Problems via the p-Version of the Finite Element Method. SIAM Journal on Numerical Analysis. 23(1). 58–77. 41 indexed citations
19.
Dörr, M., Jeffrey F. Painter, & S.T. Perkins. (1986). A Flux-Limited Diffusion Model for Charged-Particle Transport. Nuclear Science and Engineering. 94(2). 157–166. 1 indexed citations
20.
Dörr, M.. (1984). The Approximation Theory for thep-Version of the Finite Element Method. SIAM Journal on Numerical Analysis. 21(6). 1180–1207. 63 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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