K. J. de Vries

822 citations
8 papers · 460 indexed · h-index 8
Topics
Particle physics theoretical and experimental studies (8 papers)Dark Matter and Cosmic Phenomena (6 papers)Cosmology and Gravitation Theories (4 papers)
Journals
The European Physical Journal CPhysical review. D. Particles, fields, gravitation, and cosmologyRepository for Publications and Research Data (ETH Zurich)

In The Last Decade

K. J. de Vries

8 papers receiving 459 citations

Peers

K. J. de Vries
Comparison fields: 5 of 15
  • Nuclear and High Energy Physics 454
  • Astronomy and Astrophysics 250
  • Artificial Intelligence 15
  • Atomic and Molecular Physics, and Optics 10
  • Statistical and Nonlinear Physics 6
Replace Rakhi Mahbubani with:
Rakhi Mahbubani Switzerland
Heather E. Logan Canada
David Pinner United States
Venus Keus Finland
Philipp Basler Germany
Rikard Enberg Sweden
Sujeet Akula United States
H. Flächer Switzerland
S. Mukhopadhyay India
Enrico Bertuzzo Brazil
K. J. de Vries relative to Rakhi Mahbubani Switzerland Rakhi Mahbubani's profile →
Citations per field
00.5×2.6×
Rakhi Mahbubani · 1×
Citations per year

Countries citing papers authored by K. J. de Vries

Since Specialization
Citations

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

Fields of papers citing papers by K. J. de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. J. de Vries

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 38
2 64
3 46
4 26
5 62
6 39
7 107
8 78

About K. J. de Vries

K. J. de Vries is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence, having authored 8 papers that have together received 460 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), Dark Matter and Cosmic Phenomena (6 papers) and Cosmology and Gravitation Theories (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (454 citations), Astronomy and Astrophysics (250 citations) and Statistical and Nonlinear Physics (6 citations). K. J. de Vries has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Keith A. Olive, J. Marrouche, G. Weiglein, Matthew J. Dolan, S. Heinemeyer, O. L. Buchmueller, John Ellis, R. Cavanaugh, D. Martínez Santos and Gino Isidori. Their work appears in journals such as The European Physical Journal C, Physical review. D. Particles, fields, gravitation, and cosmology and Repository for Publications and Research Data (ETH Zurich).

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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