Andreas Ipp

1.1k citations
44 papers · 790 · h-index 19

Impact in

Papers in

    • High-Energy Particle Collisions Research 28
    • Quantum Chromodynamics and Particle Interactions 18
    • Particle physics theoretical and experimental studies 4
    • Artificial Intelligence Applications 3
    • Neural Networks and Applications 3

Andreas Ipp

42 papers receiving 785 citations

Peers

Andreas Ipp
Comparison fields: 5 of 32
  • Nuclear and High Energy Physics 681
  • Atomic and Molecular Physics, and Optics 82
  • Condensed Matter Physics 31
  • Astronomy and Astrophysics 50
  • Statistical and Nonlinear Physics 8
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Andreas Ipp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Ipp Line = papers co-authored together Andreas Ipp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200653
2 200648
3 202247
4 202042
5 202341
6 200439
7 201139
8 202039
9 200436
10 200334
11 200532
12 200832
13 201730
14 201628
15 202528
16 200427
17 201125
18 200922
19 201020
20 202118

About Andreas Ipp

Andreas Ipp is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems and Management and Atomic and Molecular Physics, and Optics, having authored 44 papers that have together received 790 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (28 papers), Quantum Chromodynamics and Particle Interactions (18 papers), Particle physics theoretical and experimental studies (4 papers), Artificial Intelligence Applications (3 papers), Neural Networks and Applications (3 papers), Laser-Matter Interactions and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (681 citations), Atomic and Molecular Physics, and Optics (82 citations), Condensed Matter Physics (31 citations), Astronomy and Astrophysics (50 citations) and Statistical and Nonlinear Physics (8 citations). Andreas Ipp has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include David I. Müller, Anton K. Rebhan, Jean-Paul Blaizot, Aleksi Vuorinen, Christoph Helmut Keitel, Jörg Evers, Nicolás Wschebor, K. Kajantie, Michael T. Strickland and Ramón Méndez-Galain. Their work appears in journals such as Physical review. D, Physics Letters B, Physical Review Letters, Nuclear Physics A and The European Physical Journal C.

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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