Ivan S. Klyuzhin

902 citations
49 papers · 588 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (23 papers)Medical Imaging Techniques and Applications (19 papers)Parkinson's Disease Mechanisms and Treatments (12 papers)
Partner nations
CanadaUnited StatesIran

In The Last Decade

Ivan S. Klyuzhin

45 papers receiving 582 citations

Peers

Ivan S. Klyuzhin
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 333
  • Neurology 160
  • Biomedical Engineering 106
  • Physiology 84
  • Pulmonary and Respiratory Medicine 69
Replace M. Ethan MacDonald with:
M. Ethan MacDonald Canada
Refaat E. Gabr United States
Sarah Eskreis‐Winkler United States
Maria Gabriela Figueiró Longo United States
Michele Larobina Italy
Esin Öztürk-Işık Türkiye
Emma Lewis United Kingdom
Pairash Saiviroonporn Thailand
Pasquale Borrelli Italy
Hongxia Yin China
Ivan S. Klyuzhin relative to M. Ethan MacDonald Canada M. Ethan MacDonald's profile →
Citations per field
00.5×4.2×
M. Ethan MacDonald · 1×
Citations per year

Countries citing papers authored by Ivan S. Klyuzhin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan S. Klyuzhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan S. Klyuzhin. 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 Ivan S. Klyuzhin. The network helps show where Ivan S. Klyuzhin may publish in the future.

Co-authorship network of co-authors of Ivan S. Klyuzhin

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan S. Klyuzhin. A scholar is included among the top collaborators of Ivan S. Klyuzhin 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 Ivan S. Klyuzhin. Ivan S. Klyuzhin 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 0
2 1
3 13
4 20
5 1
6 2
7 0
8 20
9 7
10 3
11 13
12 9
13 7
14 51
15 6
16 35
17 40
18 18
19 12
20 55

About Ivan S. Klyuzhin

Ivan S. Klyuzhin is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 49 papers that have together received 588 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging Techniques and Applications (19 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (333 citations), Health Informatics (19 citations) and Neurology (160 citations). Ivan S. Klyuzhin has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Arman Rahmim, Vesna Sossi, Mohammad R. Salmanpour, Abdollah Saberi, Gerald H. Pollack, Mojtaba Shamsaei, Jing Tang, Christophe Nioche, Fanny Orlhac and Irène Buvat. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and The Journal of Physical Chemistry B.

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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