Daniel Krefl

900 citations
22 papers · 429 · h-index 10

Impact in

Papers in

Daniel Krefl

22 papers receiving 420 citations

Peers

Daniel Krefl
Comparison fields: 5 of 50
  • Nuclear and High Energy Physics 319
  • Computational Mathematics 7
  • Statistical and Nonlinear Physics 142
  • Geometry and Topology 97
  • Astronomy and Astrophysics 153
Replace Harold Erbin with:
Harold Erbin France
Yuri Makeenko Russia
Eduardo Casali United Kingdom
Vasco Gonçalves Portugal
Akın Wingerter United States
Rak-Kyeong Seong South Korea
Dmitry Chicherin Germany
W. Rubens United Kingdom
Samuel Abreu Switzerland
Simone Zoia Italy
Daniel Krefl relative to Harold Erbin France Harold Erbin's profile →
Citations per field
00.5×10×20×30×43×
Harold Erbin · 1×
Citations per year

Countries citing papers authored by Daniel Krefl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Krefl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Krefl, 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 Daniel Krefl Line = papers co-authored together Daniel Krefl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 201766
3 201060
4 201525
5 200825
6 201620
7 201320
8 201419
9 201416
10 202312
11 20069
12 20108
13 20088
14
ABCD of Beta Ensembles and Topological Strings
20125
15 20195
16 20234
17 20204
18 20223
19 20133
20 20133

About Daniel Krefl

Daniel Krefl is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Astronomy and Astrophysics, Mathematical Physics and Geometry and Topology, having authored 22 papers that have together received 429 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (15 papers), Particle physics theoretical and experimental studies (5 papers), Noncommutative and Quantum Gravity Theories (5 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Cosmology and Gravitation Theories (3 papers), Geometry and complex manifolds (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (319 citations), Computational Mathematics (7 citations), Statistical and Nonlinear Physics (142 citations), Geometry and Topology (97 citations) and Astronomy and Astrophysics (153 citations). Daniel Krefl has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Johannes Walcher, Rak-Kyeong Seong, Dieter Lüst, Michael Haack, Antoine Van Proeyen, Marco Zagermann, R. L. Mkrtchyan, Albert Schwarz, Sven Bergmann and Sara Pasquetti. Their work appears in journals such as Journal of High Energy Physics, Letters in Mathematical Physics, Nuclear Physics B, Journal of Geometry and Physics and Neurocomputing.

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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