J. Klappert

915 total citations · 1 hit paper
9 papers, 496 citations indexed

About

J. Klappert is a scholar working on Nuclear and High Energy Physics, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, J. Klappert has authored 9 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 2 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in J. Klappert's work include Particle physics theoretical and experimental studies (6 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and High-Energy Particle Collisions Research (4 papers). J. Klappert is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and High-Energy Particle Collisions Research (4 papers). J. Klappert collaborates with scholars based in Germany, Switzerland and Netherlands. J. Klappert's co-authors include Fabian Lange, Philipp Maierhöfer, Johann Usovitsch, Robert V. Harlander, Alexander Voigt, M. Czakon, Gudrun Heinrich, Matthias Kerner, Stephen Jones and Johannes Schlenk and has published in prestigious journals such as Physical Review Letters, Computer Physics Communications and Journal of High Energy Physics.

In The Last Decade

J. Klappert

9 papers receiving 489 citations

Hit Papers

Integral reduction with Kira 2.0 and finite field methods 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Klappert Germany 8 419 57 48 36 31 9 496
Amedeo Primo Italy 11 353 0.8× 53 0.9× 36 0.8× 54 1.5× 28 0.9× 14 440
J. Schlenk Germany 6 541 1.3× 86 1.5× 42 0.9× 30 0.8× 16 0.5× 9 624
K. Kajda Poland 6 309 0.7× 54 0.9× 43 0.9× 31 0.9× 8 0.3× 12 358
Francesco Moriello Switzerland 10 321 0.8× 45 0.8× 26 0.5× 42 1.2× 16 0.5× 13 368
J. Vollinga Germany 5 598 1.4× 55 1.0× 23 0.5× 36 1.0× 19 0.6× 5 694
T. Zirke Germany 9 659 1.6× 87 1.5× 34 0.7× 23 0.6× 12 0.4× 9 722
C. Studerus Switzerland 9 721 1.7× 41 0.7× 25 0.5× 32 0.9× 11 0.4× 10 772
Peter Uwer Germany 14 726 1.7× 40 0.7× 25 0.5× 40 1.1× 13 0.4× 27 808
Stefano Di Vita Italy 11 431 1.0× 77 1.4× 16 0.3× 27 0.8× 10 0.3× 13 460
Johannes Schlenk Switzerland 10 383 0.9× 49 0.9× 18 0.4× 19 0.5× 9 0.3× 14 423

Countries citing papers authored by J. Klappert

Since Specialization
Citations

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

Fields of papers citing papers by J. Klappert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Klappert

This figure shows the co-authorship network connecting the top 25 collaborators of J. Klappert. A scholar is included among the top collaborators of J. Klappert 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 J. Klappert. J. Klappert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Klappert, J., Fabian Lange, Philipp Maierhöfer, & Johann Usovitsch. (2021). Integral reduction with Kira 2.0 and finite field methods. Computer Physics Communications. 266. 108024–108024. 225 indexed citations breakdown →
2.
Czakon, M., et al.. (2021). Exact Top-Quark Mass Dependence in Hadronic Higgs Production. Physical Review Letters. 127(16). 162002–162002. 24 indexed citations
3.
Klappert, J., et al.. (2021). Interpolation of dense and sparse rational functions and other improvements in FireFly. Computer Physics Communications. 264. 107968–107968. 70 indexed citations
4.
Chen, Long, Gudrun Heinrich, Stephen Jones, et al.. (2021). ZH production in gluon fusion: two-loop amplitudes with full top quark mass dependence. Journal of High Energy Physics. 2021(3). 21 indexed citations
5.
Harlander, Robert V., J. Klappert, & Alexander Voigt. (2020). The light CP-even MSSM Higgs mass including N$$^\mathbf {3}$$LO+N$$^\mathbf {3}$$LL QCD corrections. The European Physical Journal C. 80(3). 7 indexed citations
6.
Klappert, J. & Fabian Lange. (2019). Reconstructing rational functions with FireFly. Computer Physics Communications. 247. 106951–106951. 113 indexed citations
7.
Harlander, Robert V., J. Klappert, C. E. Pandini, & Andreas Papaefstathiou. (2018). Exploiting the WH/ZH symmetry in the search for new physics. The European Physical Journal C. 78(9). 760–760. 12 indexed citations
8.
Harlander, Robert V., et al.. (2018). vh@nnlo-v2: new physics in Higgs Strahlung. Repository KITopen (Karlsruhe Institute of Technology). 9 indexed citations
9.
Harlander, Robert V., et al.. (2018). The light CP-even MSSM Higgs mass resummed to fourth logarithmic order. The European Physical Journal C. 78(10). 15 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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