Andreas Ipp

945 total citations
39 papers, 629 citations indexed

About

Andreas Ipp is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andreas Ipp has authored 39 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andreas Ipp's work include High-Energy Particle Collisions Research (26 papers), Quantum Chromodynamics and Particle Interactions (20 papers) and Particle physics theoretical and experimental studies (17 papers). Andreas Ipp is often cited by papers focused on High-Energy Particle Collisions Research (26 papers), Quantum Chromodynamics and Particle Interactions (20 papers) and Particle physics theoretical and experimental studies (17 papers). Andreas Ipp collaborates with scholars based in Austria, Germany and Italy. Andreas Ipp's co-authors include Anton Rebhan, Jean-Paul Blaizot, Jörg Evers, Christoph H. Keitel, Aleksi Vuorinen, Nicolás Wschebor, Michael Strickland, K. Kajantie, Guy D. Moore and R. Méndez–Galain and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

Andreas Ipp

38 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Ipp Austria 18 565 145 137 62 28 39 629
Nan Su Germany 16 862 1.5× 297 2.0× 136 1.0× 44 0.7× 43 1.5× 34 959
V. K. Magas Spain 20 1.4k 2.4× 169 1.2× 135 1.0× 35 0.6× 21 0.8× 85 1.4k
Kirill Tuchin United States 15 1.3k 2.2× 473 3.3× 252 1.8× 40 0.6× 65 2.3× 52 1.3k
H. Satz Germany 14 905 1.6× 137 0.9× 92 0.7× 83 1.3× 10 0.4× 25 951
Hidetoshi Taya Japan 8 399 0.7× 111 0.8× 235 1.7× 25 0.4× 51 1.8× 15 483
Hideo Matsufuru Japan 27 1.9k 3.4× 230 1.6× 121 0.9× 137 2.2× 19 0.7× 116 2.0k
Mario Mitter Germany 14 937 1.7× 67 0.5× 119 0.9× 52 0.8× 14 0.5× 19 992
Ajit M. Srivastava India 15 360 0.6× 242 1.7× 115 0.8× 55 0.9× 25 0.9× 59 526
Marlene Nahrgang France 21 1.4k 2.5× 278 1.9× 76 0.6× 64 1.0× 16 0.6× 71 1.4k
Jonathan Lenaghan United States 14 960 1.7× 262 1.8× 82 0.6× 55 0.9× 18 0.6× 16 994

Countries citing papers authored by Andreas Ipp

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Ipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Ipp

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Ipp. A scholar is included among the top collaborators of Andreas Ipp 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 Andreas Ipp. Andreas Ipp 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.
Aarts, Gert, Kenji Fukushima, Tetsuo Hatsuda, et al.. (2025). Physics-driven learning for inverse problems in quantum chromodynamics. Nature Reviews Physics. 7(3). 154–163. 15 indexed citations
2.
Wenger, Urs, et al.. (2025). HMC and gradient flow with machine-learned classically perfect fixed point actions. Proceedings Of Science. 466–466.
3.
Holland, Kieran, et al.. (2024). Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network. Physical review. D. 110(7). 6 indexed citations
4.
Baran, V., et al.. (2024). Heavy quark $\kappa$ and jet $\hat{q}$ transport coefficients in the Glasma early stage of heavy-ion collisions. Jyväskylä University Digital Archive (University of Jyväskylä). 56–56. 1 indexed citations
5.
Ipp, Andreas, et al.. (2024). Energy-momentum tensor of the dilute (3+1)D glasma. Physical review. D. 109(9). 7 indexed citations
6.
Baran, V., et al.. (2023). Simulating jets and heavy quarks in the glasma using the colored particle-in-cell method. Physical review. D. 107(11). 29 indexed citations
7.
Wenger, Urs, et al.. (2023). Fixed point actions from convolutional neural networks. 38–38. 1 indexed citations
8.
Ipp, Andreas, et al.. (2022). On transverse momentum broadening in real-time lattice simulations of the glasma and in the weak-field limit. SHILAP Revista de lepidopterología. 258. 5002–5002. 1 indexed citations
9.
Ipp, Andreas, et al.. (2020). Progress on 3+1D Glasma simulations. The European Physical Journal A. 56(9). 243–243. 15 indexed citations
10.
Ipp, Andreas, et al.. (2020). Anisotropic momentum broadening in the 2+1D glasma: Analytic weak field approximation and lattice simulations. Physical review. D. 102(7). 33 indexed citations
11.
Ipp, Andreas & Peter Somkuti. (2012). Yoctosecond Metrology Through Hanbury Brown–Twiss Correlations from a Quark-Gluon Plasma. Physical Review Letters. 109(19). 192301–192301. 5 indexed citations
12.
Mastelić, Toni, et al.. (2012). Methodology for trade-off analysis when moving scientific applications to cloud. 281–286. 1 indexed citations
13.
Ipp, Andreas, Anton Rebhan, & Michael Strickland. (2011). Non-Abelian plasma instabilities: SU(3) versus SU(2). Physical review. D. Particles, fields, gravitation, and cosmology. 84(5). 47 indexed citations
14.
Ipp, Andreas, Jörg Evers, Christoph H. Keitel, & Karen Z. Hatsagortsyan. (2011). Streaking at high energies with electrons and positrons. Physics Letters B. 702(5). 383–387. 24 indexed citations
15.
Hatsagortsyan, Karen Z., Andreas Ipp, Jörg Evers, A. Di Piazza, & Christoph H. Keitel. (2011). Ultra-strong laser pulses: streak-camera for gamma-rays via pair production and quantum radiative reaction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8080. 80801T–80801T. 1 indexed citations
16.
Ipp, Andreas, Christoph H. Keitel, & Jörg Evers. (2009). Yoctosecond Photon Pulses from Quark-Gluon Plasmas. Physical Review Letters. 103(15). 152301–152301. 19 indexed citations
17.
Ipp, Andreas. (2007). The pressure of deconfined QCD for all temperatures and quark chemical potentials. Nuclear Physics A. 785(1-2). 182–185. 2 indexed citations
18.
Blaizot, Jean-Paul, Andreas Ipp, Anton Rebhan, & Urko Reinosa. (2005). Asymptotic thermal quark masses and the entropy of QCD in the large-Nflimit. Physical review. D. Particles, fields, gravitation, and cosmology. 72(12). 20 indexed citations
19.
Ipp, Andreas, Guy D. Moore, & Anton Rebhan. (2003). Comment on "Pressure of Hot QCD at Large N_f" with corrected exact result. arXiv (Cornell University). 1 indexed citations
20.
Ipp, Andreas, Guy D. Moore, & Anton Rebhan. (2003). Comment on and erratum to ``Pressure of hot QCD at largeNf''. Journal of High Energy Physics. 2003(1). 37–37. 28 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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