Stéphane Niyoteka

451 citations
10 papers · 222 indexed · h-index 5
Topics
Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced Radiotherapy Techniques (5 papers)Medical Imaging Techniques and Applications (4 papers)
Partner nations
FranceNetherlandsDenmark

In The Last Decade

Stéphane Niyoteka

10 papers receiving 219 citations

Peers

Stéphane Niyoteka
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 187
  • Biomedical Engineering 63
  • Genetics 39
  • Artificial Intelligence 32
  • Radiation 27
Replace Théo Estienne with:
Théo Estienne France
Émilie Alvarez Andres France
Enzo Battistella France
G. Klausner France
Endre Grøvik Norway
Alain Jungo Switzerland
M.A.M. Meheissen Egypt
Taman Upadhaya France
Christian Bracco Italy
Ekin Ermiş Switzerland
Stéphane Niyoteka relative to Théo Estienne France Théo Estienne's profile →
Citations per field
00.5×1.5×
Théo Estienne · 1×
Citations per year

Countries citing papers authored by Stéphane Niyoteka

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Niyoteka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Niyoteka

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 1
3 11
4 3
5 5
6 4
7 27
8 164
9 1
10 1

About Stéphane Niyoteka

Stéphane Niyoteka is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 10 papers that have together received 222 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Genetics (39 citations). Stéphane Niyoteka has collaborated with scholars based in France, Netherlands and Denmark. Frequent co-authors include Roger Sun, Alexandre Carré, Éric Deutsch, Charlotte Robert, Enzo Battistella, Maria Vakalopoulou, Marvin Lerousseau, Théo Estienne, Samy Ammari and Émilie Alvarez Andres. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.

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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