Ian Low

7.2k total citations
72 papers, 2.7k citations indexed

About

Ian Low is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ian Low has authored 72 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Nuclear and High Energy Physics, 30 papers in Astronomy and Astrophysics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ian Low's work include Particle physics theoretical and experimental studies (63 papers), Black Holes and Theoretical Physics (35 papers) and Cosmology and Gravitation Theories (29 papers). Ian Low is often cited by papers focused on Particle physics theoretical and experimental studies (63 papers), Black Holes and Theoretical Physics (35 papers) and Cosmology and Gravitation Theories (29 papers). Ian Low collaborates with scholars based in United States, Switzerland and Taiwan. Ian Low's co-authors include Aneesh V. Manohar, Witold Skiba, David Smith, Gabe Shaughnessy, Alessandro Vichi, Ryuichiro Kitano, Joseph Lykken, Carlos E. M. Wagner, Z.W. Yin and Riccardo Rattazzi and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Ian Low

72 papers receiving 2.7k citations

Peers

Ian Low
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 2.6k
  • Astronomy and Astrophysics 1.1k
  • Statistical and Nonlinear Physics 149
  • Atomic and Molecular Physics, and Optics 141
  • Artificial Intelligence 64
Replace Francesco Riva with:
Francesco Riva Italy
Pyungwon Ko South Korea
Bogdan A. Dobrescu United States
L. Silvestrini Italy
J.J. van der Bij Germany
Ulrich Ellwanger France
A. Freitas Germany
Martin Schmaltz United States
Duccio Pappadopulo Switzerland
M. Ciuchini Italy
Francesco Riva Italy View profile →
Citations per field, relative to Ian Low
Ian Low · 1×
Citations per year, relative to Ian Low
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Countries citing papers authored by Ian Low

Since Specialization
Citations

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

Fields of papers citing papers by Ian Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Low

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 17
4 4
5 2
6 23
7 15
8 24
9 18
10 18
11 4
12 59
13 52
14 3
15 43
16 40
17 61
18 127
19 364
20 28

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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