Vladimir Groza

27 total papers · 804 total citations
9 papers, 25 citations indexed

About

Vladimir Groza is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Vladimir Groza has authored 9 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Neurology. Recurrent topics in Vladimir Groza's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Brain Tumor Detection and Classification (4 papers) and Medical Image Segmentation Techniques (4 papers). Vladimir Groza is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Brain Tumor Detection and Classification (4 papers) and Medical Image Segmentation Techniques (4 papers). Vladimir Groza collaborates with scholars based in Russia and France. Vladimir Groza's co-authors include Hannes Nickisch, Didier Auroux, Tom Brosch, Dennis Eschweiler, Heinrich Schulz, Steffen Renisch, Nozha Boujemaa, Benoît Huet and Yan Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Inverse Problems in Science and Engineering.

In The Last Decade

Vladimir Groza

7 papers receiving 24 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vladimir Groza	14	10	9	6	5	9	25
Mustafa Al-Maini	12 0.9×	3 0.3×	6 0.7×	1 0.2×	7 1.4×	8	33
Thomas Pralow	14 1.0×	17 1.7×	4 0.4×		5 1.0×	6	34
Ghazi Hmeydia	17 1.2×	5 0.5×	4 0.4×	1 0.2×		8	32
Ayush Khandelwal	4 0.3×	10 1.0×		7 1.2×	4 0.8×	7	24
Kaiqi Dong	10 0.7×	14 1.4×		4 0.7×	21 4.2×	6	28
Jayashree Kalpathy-Cramer	14 1.0×	7 0.7×	2 0.2×	11 1.8×	15 3.0×	8	37
L. Escudero	20 1.4×	3 0.3×	2 0.2×	4 0.7×	17 3.4×	8	37
Imane Nedjar	8 0.6×	8 0.8×	1 0.1×	3 0.5×	9 1.8×	8	32
M. Grigat	27 1.9×	9 0.9×		3 0.5×	2 0.4×	8	38
Kiran Vishnu Narayan	9 0.6×	3 0.3×	7 0.8×		1 0.2×	8	19

Countries citing papers authored by Vladimir Groza

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Groza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Groza

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

All Works

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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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