Ph. Hägler

92 total papers · 3.1k total citations
55 papers, 2.1k citations indexed

About

Ph. Hägler is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ph. Hägler has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Nuclear and High Energy Physics, 2 papers in Biomedical Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Ph. Hägler's work include Quantum Chromodynamics and Particle Interactions (53 papers), Particle physics theoretical and experimental studies (52 papers) and High-Energy Particle Collisions Research (50 papers). Ph. Hägler is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (53 papers), Particle physics theoretical and experimental studies (52 papers) and High-Energy Particle Collisions Research (50 papers). Ph. Hägler collaborates with scholars based in Germany, United States and United Kingdom. Ph. Hägler's co-authors include John Negele, Bernhard Musch, Andreas Schäfer, W. Schroers, Dru B. Renner, Michael Engelhardt, Robert G. Edwards, David Richards, Kostas Orginos and Markus Diehl and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

Ph. Hägler

50 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ph. Hägler 2.1k 71 30 27 17 55 2.1k
Kyriakos Hadjiyiannakou 2.0k 0.9× 135 1.9× 43 1.4× 59 2.2× 15 0.9× 62 2.1k
Alexander Khodjamirian 2.9k 1.4× 43 0.6× 31 1.0× 37 1.4× 7 0.4× 69 3.0k
W. Schroers 1.8k 0.8× 54 0.8× 58 1.9× 25 0.9× 15 0.9× 50 1.8k
Stefan Meinel 1.8k 0.9× 102 1.4× 76 2.5× 37 1.4× 21 1.2× 80 1.9k
Sinéad M. Ryan 1.5k 0.7× 70 1.0× 82 2.7× 20 0.7× 10 0.6× 66 1.6k
Adam F. Falk 2.4k 1.1× 72 1.0× 20 0.7× 42 1.6× 17 1.0× 57 2.5k
A. Krassnigg 1.5k 0.7× 60 0.8× 44 1.5× 25 0.9× 16 0.9× 55 1.5k
C.T. Sachrajda 2.5k 1.2× 74 1.0× 78 2.6× 34 1.3× 16 0.9× 53 2.6k
Richard Williams 1.5k 0.7× 92 1.3× 63 2.1× 44 1.6× 14 0.8× 50 1.6k
Christopher Sachrajda 2.6k 1.2× 74 1.0× 50 1.7× 80 3.0× 15 0.9× 71 2.6k

Countries citing papers authored by Ph. Hägler

Since Specialization
Citations

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

Fields of papers citing papers by Ph. Hägler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ph. Hägler

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

All Works

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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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2026