Ilya Kuprov

5.6k citations
89 papers · 3.9k indexed · 1 hit paper · h-index 35
Topics
Advanced NMR Techniques and Applications (51 papers)Electron Spin Resonance Studies (26 papers)NMR spectroscopy and applications (24 papers)

In The Last Decade

Ilya Kuprov

88 papers receiving 3.8k citations

Hit Papers

Training Schrödinger’s cat: quantum optimal control20152026201820222015100200300400500

Peers

Ilya Kuprov
Comparison fields: 5 of 124
  • Spectroscopy 1.5k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Materials Chemistry 1.2k
  • Biophysics 892
  • Molecular Biology 650
Replace Daniel Neuhauser with:
Daniel Neuhauser United States
Ēriks Kupče United Kingdom
D. P. Weitekamp United States
Irène Burghardt Germany
Vikram S. Bajaj United States
S. R. Hartmann United States
Dage Sundholm Finland
U. Haeberlen Germany
Hans‐Martin Vieth Germany
Marcos Dantus United States
Ilya Kuprov relative to Daniel Neuhauser United States Daniel Neuhauser's profile →
Citations per field
00.5×2.7×
Daniel Neuhauser · 1×
Citations per year

Countries citing papers authored by Ilya Kuprov

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Kuprov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Kuprov

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Kuprov. A scholar is included among the top collaborators of Ilya Kuprov 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 Ilya Kuprov. Ilya Kuprov 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
#WorkIndexed citations
1 4
2 3
3 4
4 9
5 43
6 6
7 87
8 2
9 14
10 13
11 22
12 14
13 6
14 30
15 11
16 7
17 21
18 49
19 29
20 42

About Ilya Kuprov

Ilya Kuprov is a scholar working on Biophysics, Spectroscopy and Nuclear and High Energy Physics, having authored 89 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (51 papers), Electron Spin Resonance Studies (26 papers) and NMR spectroscopy and applications (24 papers). The work is most often cited by research in Biophysics (892 citations), Spectroscopy (1.5k citations) and Nuclear and High Energy Physics (615 citations). Ilya Kuprov has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include P. J. Hore, Steffen J. Glaser, S. G. Schirmer, David Parker, M. Krzystyniak, Elizaveta A. Suturina, Christopher T. Rodgers, Burkhard Luy, Walter Köckenberger and Christiane R. Timmel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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