O. Kitouni

3.6k total citations
2 papers, 7 citations indexed

About

O. Kitouni is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, O. Kitouni has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in O. Kitouni's work include Particle physics theoretical and experimental studies (2 papers), Neutrino Physics Research (1 paper) and Medical Imaging Techniques and Applications (1 paper). O. Kitouni is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Neutrino Physics Research (1 paper) and Medical Imaging Techniques and Applications (1 paper). O. Kitouni collaborates with scholars based in United States. O. Kitouni's co-authors include M. Williams and N. S. Nolte and has published in prestigious journals such as Machine Learning Science and Technology and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

O. Kitouni

2 papers receiving 7 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h					Papers	Cites
O. Kitouni United States	2	6	2	1	1	2	7
A. Samalan Belgium	3	7 1.2×	2 1.0×			4	7
H. Zbroszczyk Poland	2	5 0.8×	2 1.0×			3	5
Jan-Willem Schmelling Netherlands	2	7 1.2×	2 1.0×		1 1.0×	10	10
R. Singh India	1	8 1.3×	2 1.0×			3	8
Zhenyu Xu China	2	8 1.3×	2 1.0×			6	9
P. Sinha India	1	5 0.8×	3 1.5×			2	5
Ashik Ikbal Sheikh United States	1	4 0.7×	2 1.0×			3	5
Zachary E. Martinot United States	2	5 0.8×	3 1.5×			3	6
E. Carrera Jarrin Ecuador	2	4 0.7×	2 1.0×			4	8
S. Vitillo Switzerland	2	4 0.7×	2 1.0×			4	6

Countries citing papers authored by O. Kitouni

Since Specialization

Citations

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

Fields of papers citing papers by O. Kitouni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Kitouni

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

All Works

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2 of 2 papers shown

1.

Kitouni, O.. (2024). Enhancing searches for resonances with machine learning and moment decomposition. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

2.

Kitouni, O., N. S. Nolte, & M. Williams. (2023). Robust and provably monotonic networks. Machine Learning Science and Technology. 4(3). 35020–35020. 5 indexed citations

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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