N. V. Ledikhova

452 total citations
16 papers, 81 citations indexed

About

N. V. Ledikhova is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, N. V. Ledikhova has authored 16 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Epidemiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in N. V. Ledikhova's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Radiology practices and education (6 papers) and COVID-19 diagnosis using AI (5 papers). N. V. Ledikhova is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Radiology practices and education (6 papers) and COVID-19 diagnosis using AI (5 papers). N. V. Ledikhova collaborates with scholars based in Russia, Czechia and Belarus. N. V. Ledikhova's co-authors include С. П. Морозов, Anton V. Vladzymyrskyy, Victor А. Gombolevskiy, Roman V. Reshetnikov, Ivan A. Blokhin, Anna Andreychenko, Valeria Chernina, О. А. Мокиенко and Nikolay Pavlov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Insights into Imaging.

In The Last Decade

N. V. Ledikhova

12 papers receiving 68 citations

Peers

Countries citing papers authored by N. V. Ledikhova

Since Specialization

Citations

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

Fields of papers citing papers by N. V. Ledikhova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Ledikhova. 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 N. V. Ledikhova. The network helps show where N. V. Ledikhova may publish in the future.

Co-authorship network of co-authors of N. V. Ledikhova

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Effectiveness of using artificial intelligence technologies for dual descriptions of the results of preventive lung examinations 2022 ·Russian Journal of Preventive Medicine ·Anton V. Vladzymyrskyy, (unknown), (unknown), (unknown), С. П. Морозов, N. V. Ledikhova, (unknown), (unknown), (unknown), (unknown)	5
2	All-Russian rating of radiology departments: 2020 competition results 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), (unknown), (unknown), N. V. Ledikhova, (unknown), С. П. Морозов	0
3	FEASIBILITY OF USING ARTIFICIAL INTELLIGENCE IN RADIOLOGY (FIRST YEAR OF MOSCOW EXPERIMENT ON COMPUTER VISION) 2022 ·С. П. Морозов, Anton V. Vladzymyrskyy, (unknown), N. V. Ledikhova, (unknown), Anna Andreychenko, (unknown), (unknown), (unknown)	3
4	Performance quality of X-ray technicians when they interact remotely with the Reference Center for Diagnostic Radiology using telemedicine technologies 2021 ·С. П. Морозов, N. V. Ledikhova, (unknown), Anton V. Vladzymyrskyy, (unknown)	3
5	RATIONALE FOR THE RECOMMENDED TIME FRAMES FOR REPORTING OF CT AND MRI RESULTS 2021 ·С. П. Морозов, (unknown), N. V. Ledikhova, (unknown), (unknown), (unknown), (unknown), (unknown)	0
6	A simplified cluster model and a tool adapted for collaborative labeling of lung cancer CT scans 2021 ·Computer Methods and Programs in Biomedicine ·С. П. Морозов, Victor А. Gombolevskiy, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), N. V. Ledikhova, Valeria Chernina, Ivan A. Blokhin, (unknown), Roman V. Reshetnikov, Anton V. Vladzymyrskyy, (unknown)	11
7	Diagnostic accuracy of computed tomography for identifying hospitalizations for patients with COVID-19 2021 ·SHILAP Revista de lepidopterología ·С. П. Морозов, Roman V. Reshetnikov, Victor А. Gombolevskiy, N. V. Ledikhova, Ivan A. Blokhin, О. А. Мокиенко	4
8	Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow 2020 ·SHILAP Revista de lepidopterología ·С. П. Морозов, (unknown), N. V. Ledikhova, Anton V. Vladzymyrskyy, (unknown), О. А. Мокиенко, (unknown), Anna Andreychenko, (unknown), Victor А. Gombolevskiy, (unknown), (unknown), Roman V. Reshetnikov	9
9	Differential Diagnosis of Lungs Lesions in a New Coronavirus Infection COVID-19 and Diseases of Non-Viral Etiology on the Clinical Cases by Computed Tomography Scans in Outpatient CT Centers 2020 ·Annals of the Russian academy of medical sciences ·(unknown), (unknown), (unknown), N. V. Ledikhova, (unknown), С. П. Морозов, (unknown)	0
10	Evaluation of the effectiveness of the implementation of speech recognition technology for the preparation of radiological protocols 2020 ·(unknown), (unknown), (unknown), (unknown), (unknown), N. V. Ledikhova, Anton V. Vladzymyrskyy, С. П. Морозов	4
11	Moscow experiment on computer vision in radiology: involvement and participation of radiologists 2020 ·С. П. Морозов, Anton V. Vladzymyrskyy, N. V. Ledikhova, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	10
12	Prospect of application of artificial intelligence systems for breast cancer screening 2020 ·Voprosy Onkologii ·(unknown), (unknown), (unknown), (unknown), (unknown), Nikolay Pavlov, Anna Andreychenko, N. V. Ledikhova, Anton V. Vladzymyrskyy	3
13	ARTIFICIAL INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR PEER-REVIEW IN RADIOLOGY 2018 ·SHILAP Revista de lepidopterología ·С. П. Морозов, (unknown), Victor А. Gombolevskiy, (unknown), N. V. Ledikhova	4
14	EVALUATION OF DIAGNOSTIC ACCURACY OF THE SYSTEM FOR PULMONARY TUBERCULOSIS SCREENING BASED ON ARTIFICIAL NEURAL NETWORKS 2018 ·Tuberculosis and lung diseases ·С. П. Морозов, (unknown), N. V. Ledikhova, (unknown), (unknown), Victor А. Gombolevskiy	7
15	Telemedicine-based system for quality management and peer review in radiology 2018 ·Insights into Imaging ·С. П. Морозов, (unknown), N. V. Ledikhova, Anton V. Vladzymyrskyy, (unknown)	18
16	Influence of the content of postgraduate education of radiologists on the number of diagnostic pitfalls 2018 ·Medical Visualization ·С. П. Морозов, (unknown), (unknown), N. V. Ledikhova, (unknown)	0

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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