Thomas Lippert

6.2k total citations · 1 hit paper
106 papers, 3.0k citations indexed

About

Thomas Lippert is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Thomas Lippert has authored 106 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 34 papers in Computer Networks and Communications and 17 papers in Hardware and Architecture. Recurrent topics in Thomas Lippert's work include Quantum Chromodynamics and Particle Interactions (38 papers), Particle physics theoretical and experimental studies (35 papers) and High-Energy Particle Collisions Research (29 papers). Thomas Lippert is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (38 papers), Particle physics theoretical and experimental studies (35 papers) and High-Energy Particle Collisions Research (29 papers). Thomas Lippert collaborates with scholars based in Germany, France and United Kingdom. Thomas Lippert's co-authors include Klaus Schilling, Katrin Amunts, Gunnar Bali, Stefan Krieg, Armin Seyfried, Christian Hoelbling, Bernhard Steffen, S. D. Katz, Thorsten Kurth and Hartmut Neff and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Thomas Lippert

97 papers receiving 2.9k citations

Hit Papers

BigBrain: An Ultrahigh-Resolution 3D Human Brain Model 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lippert Germany 26 1.5k 475 286 210 176 106 3.0k
Danilo Jimenez Rezende United States 19 190 0.1× 152 0.3× 84 0.3× 66 0.3× 57 0.3× 39 2.9k
Anders Ynnerman Sweden 32 433 0.3× 173 0.4× 185 0.6× 727 3.5× 8 0.0× 169 2.9k
Shing‐Tung Yau United States 58 2.1k 1.4× 59 0.1× 211 0.7× 216 1.0× 15 0.1× 325 12.9k
Zhi‐Pei Liang United States 41 400 0.3× 422 0.9× 4.8k 16.6× 856 4.1× 12 0.1× 217 6.3k
Volker Koch United States 37 3.6k 2.4× 500 1.1× 81 0.3× 452 2.2× 7 0.0× 185 4.7k
Laurent Daudet France 24 154 0.1× 407 0.9× 65 0.2× 470 2.2× 54 0.3× 100 3.6k
Yang Wang China 40 45 0.0× 240 0.5× 127 0.4× 332 1.6× 84 0.5× 313 5.8k
A. Bottino Italy 34 2.2k 1.4× 50 0.1× 46 0.2× 418 2.0× 51 0.3× 170 3.3k
Keisuke Fujii Japan 34 226 0.2× 408 0.9× 55 0.2× 1.4k 6.8× 67 0.4× 234 4.9k
Andrew J. Hanson United States 28 1.7k 1.1× 62 0.1× 20 0.1× 417 2.0× 102 0.6× 122 4.1k

Countries citing papers authored by Thomas Lippert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lippert

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lippert. A scholar is included among the top collaborators of Thomas Lippert 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 Thomas Lippert. Thomas Lippert 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
2.
López, Núria, Luigi Del Debbio, Marc Baaden, et al.. (2021). Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic. Proceedings of the National Academy of Sciences. 118(46). 4 indexed citations
3.
Barbarossa, Maria Vittoria, Jan Fuhrmann, Jan H. Meinke, et al.. (2020). Modeling the spread of COVID-19 in Germany: Early assessment and possible scenarios. PLoS ONE. 15(9). e0238559–e0238559. 54 indexed citations
4.
Amunts, Katrin, Alois Knoll, Thomas Lippert, et al.. (2019). The Human Brain Project—Synergy between neuroscience, computing, informatics, and brain-inspired technologies. PLoS Biology. 17(7). e3000344–e3000344. 53 indexed citations
5.
Brömmel, Dirk, Wolfgang Frings, Brian J. N. Wylie, et al.. (2018). The High-Q Club: Experience Extreme-scaling Application Codes. Supercomputing Frontiers and Innovations. 5(1). 2 indexed citations
6.
Schmitz, Daniel, Katrin Amunts, Thomas Lippert, & Markus Axer. (2018). A least squares approach for the reconstruction of nerve fiber orientations from tiltable specimen experiments in 3D-PLI. 132–135. 6 indexed citations
7.
Schmitz, Daniel, Sascha E.A. Muenzing, Martin Schöber, et al.. (2018). Derivation of Fiber Orientations From Oblique Views Through Human Brain Sections in 3D-Polarized Light Imaging. Frontiers in Neuroanatomy. 12. 75–75. 17 indexed citations
8.
Amunts, Katrin, et al.. (2016). The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain. Neuron. 92(3). 574–581. 188 indexed citations
9.
Lippert, Thomas, Daniel Mallmann, & Morris Riedel. (2016). Scientific Big Data Analytics by HPC. 14(1). 70–74. 1 indexed citations
10.
Riedel, Morris, Florian Janetzko, Borries Demeler, et al.. (2014). Advancements of the UltraScan scientific gateway for open standards‐based cyberinfrastructures. Concurrency and Computation Practice and Experience. 26(13). 2280–2291. 7 indexed citations
11.
Riedel, Morris, et al.. (2013). High productivity processing - Engaging in big data around distributed computing. International Convention on Information and Communication Technology, Electronics and Microelectronics. 145–150. 1 indexed citations
12.
Portelli, Antonin, Stephan Dürr, Z. Fodor, et al.. (2012). Systematic errors in partially-quenched QCD plus QED lattice simulations. arXiv (Cornell University). 136–136. 6 indexed citations
13.
Dürr, Stephan, Giannis Koutsou, & Thomas Lippert. (2012). Meson and baryon dispersion relations with Brillouin fermions. Physical review. D. Particles, fields, gravitation, and cosmology. 86(11). 28 indexed citations
14.
Portelli, Antonin, Stephan Dürr, Z. Fodor, et al.. (2011). Electromagnetic corrections to light hadron masses. arXiv (Cornell University). 121–121. 10 indexed citations
15.
Sutmann, Godehard, P. Gibbon, & Thomas Lippert. (2011). Fast Methods for Long-Range Interactions in Complex Systems. JuSER (Forschungszentrum Jülich). 10. 62. 5 indexed citations
16.
Dürr, Stephan, Z. Fodor, Christian Hoelbling, et al.. (2009). Scaling study of dynamical smeared-link clover fermions. Physical review. D. Particles, fields, gravitation, and cosmology. 79(1). 39 indexed citations
17.
Krieg, Stefan, N. Attig, Thomas Lippert, & Nigel Cundy. (2008). A comparison of methods to calculate the chiral condensate with overlap fermions. Computer Physics Communications. 179(1-3). 181–183.
18.
Arnold, G. W., et al.. (2006). Improving Quantum Computer Simulations. JuSER (Forschungszentrum Jülich). 1 indexed citations
19.
Bali, Gunnar, et al.. (2006). String breaking. Nuclear Physics B - Proceedings Supplements. 153(1). 9–16. 5 indexed citations
20.
Lippert, Thomas, et al.. (1997). BLAS-3 for the Quadrics parallel computer. Lecture notes in computer science. 1225. 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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