Ivan A. Blokhin

749 total citations
44 papers, 227 citations indexed

About

Ivan A. Blokhin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Ivan A. Blokhin has authored 44 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Biomedical Engineering. Recurrent topics in Ivan A. Blokhin's work include Radiomics and Machine Learning in Medical Imaging (18 papers), COVID-19 diagnosis using AI (14 papers) and Advanced X-ray and CT Imaging (12 papers). Ivan A. Blokhin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), COVID-19 diagnosis using AI (14 papers) and Advanced X-ray and CT Imaging (12 papers). Ivan A. Blokhin collaborates with scholars based in Russia, Czechia and Spain. Ivan A. Blokhin's co-authors include С. П. Морозов, Victor А. Gombolevskiy, Valeria Chernina, Pavel Gelezhe, Anna Andreychenko, Anton V. Vladzymyrskyy, Nikolay Pavlov, Roman V. Reshetnikov, О. А. Мокиенко and Д. Н. Проценко and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and International Journal of Medical Informatics.

In The Last Decade

Ivan A. Blokhin

35 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan A. Blokhin Russia 8 165 48 44 42 39 44 227
Valeria Chernina Russia 6 136 0.8× 47 1.0× 34 0.8× 39 0.9× 29 0.7× 21 175
Nishanth Arun United States 4 209 1.3× 51 1.1× 79 1.8× 125 3.0× 28 0.7× 7 300
Philipp Fervers Germany 9 125 0.8× 23 0.5× 63 1.4× 31 0.7× 44 1.1× 23 239
René Hosch Germany 10 157 1.0× 48 1.0× 42 1.0× 43 1.0× 58 1.5× 48 264
Satyananda Kashyap United States 8 156 0.9× 41 0.9× 56 1.3× 87 2.1× 38 1.0× 18 276
Emi Yamaga Japan 9 225 1.4× 46 1.0× 25 0.6× 152 3.6× 32 0.8× 28 311
Youmin Guo China 11 524 3.2× 73 1.5× 41 0.9× 80 1.9× 69 1.8× 33 600
Krithika Rangarajan India 7 66 0.4× 32 0.7× 57 1.3× 39 0.9× 32 0.8× 29 184
Yongsik Sim South Korea 8 181 1.1× 99 2.1× 49 1.1× 79 1.9× 32 0.8× 18 274
Ural Koç Türkiye 8 198 1.2× 30 0.6× 189 4.3× 83 2.0× 45 1.2× 29 343

Countries citing papers authored by Ivan A. Blokhin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan A. Blokhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan A. Blokhin

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan A. Blokhin. A scholar is included among the top collaborators of Ivan A. Blokhin 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 A. Blokhin. Ivan A. Blokhin 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
1.
Reshetnikov, Roman V., et al.. (2024). Review of meta-analyses on the use of artificial intelligence in radiology. Medical Visualization. 28(3). 22–41. 2 indexed citations
2.
Blokhin, Ivan A., et al.. (2023). Low-dose computed tomography in COVID-19: systematic review. SHILAP Revista de lepidopterología. 4(1). 25–37.
3.
Vladzymyrskyy, Anton V., et al.. (2023). AI-Based CXR First Reading: Current Limitations to Ensure Practical Value. Diagnostics. 13(8). 1430–1430. 11 indexed citations
4.
Blokhin, Ivan A., et al.. (2023). Routine Brain MRI Findings on the Long-Term Effects of COVID-19: A Scoping Review. Diagnostics. 13(15). 2533–2533. 9 indexed citations
5.
Vladzymyrskyy, Anton V., et al.. (2023). IMPORTANCE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO PREVENT DEFECTS IN RADIOLOGIST’S PRACTICE. 16–27. 1 indexed citations
6.
Blokhin, Ivan A., et al.. (2023). COVID-19 impact on liver attenuation by computed tomography: a retrospective cohort study. Siberian Journal of Clinical and Experimental Medicine. 38(3). 103–109.
7.
Морозов, С. П., А. В. Гаврилов, Ivan A. Blokhin, et al.. (2022). Effect of artificial intelligence technologies on the CT scan interpreting time in COVID-19 patients in inpatient setting. Russian Journal of Preventive Medicine. 25(1). 14–14. 4 indexed citations
8.
Chernina, Valeria, et al.. (2021). Adrenal imaging: anatomy and pathology (literature review). Problems of Endocrinology. 67(3). 26–36. 2 indexed citations
9.
Chernina, Valeria, et al.. (2021). Specificity of chest computed tomography in COVID-19-associated pneumonia: a retrospective study. SHILAP Revista de lepidopterología. 49(1). 1–10. 2 indexed citations
10.
Blokhin, Ivan A., et al.. (2021). Artificial Intelligence in Healthcare: Validating an AI Algorithm in Health Institutions in the COVID-19 Pandemic (a Use Case). Monitoring obŝestvennogo mneniâ: èkonomičeskie i socialʹnye peremeny. 3 indexed citations
11.
Gombolevskiy, Victor А., С. П. Морозов, Valeria Chernina, Ivan A. Blokhin, & J. Vassileva. (2021). A phantom study to optimise the automatic tube current modulation for chest CT in COVID-19. European Radiology Experimental. 5(1). 21–21. 5 indexed citations
12.
Морозов, С. П., Victor А. Gombolevskiy, N. V. Ledikhova, et al.. (2021). A simplified cluster model and a tool adapted for collaborative labeling of lung cancer CT scans. Computer Methods and Programs in Biomedicine. 206. 106111–106111. 11 indexed citations
13.
Морозов, С. П., Anna Andreychenko, Ivan A. Blokhin, et al.. (2020). MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic. SHILAP Revista de lepidopterología. 1(1). 49–59. 65 indexed citations
14.
Морозов, С. П., Victor А. Gombolevskiy, Valeria Chernina, et al.. (2020). Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography. SHILAP Revista de lepidopterología. 98(6). 7–14. 15 indexed citations
15.
Морозов, С. П., Valeria Chernina, Ivan A. Blokhin, & Victor А. Gombolevskiy. (2020). Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases. SHILAP Revista de lepidopterología. 1(1). 27–36. 10 indexed citations
16.
Chernina, Valeria, et al.. (2020). The Role of Quantitative Assessment of Visceral Adipose Tissue of the Heart as a Predictor for Cardiovascular Events. SHILAP Revista de lepidopterología. 100(6). 387–394. 3 indexed citations
17.
Морозов, С. П., et al.. (2020). Diffusion processes modeling in magnetic resonance imaging. Insights into Imaging. 11(1). 60–60. 9 indexed citations
18.
Морозов, С. П., et al.. (2019). Moscow Screening: Lung Cancer Screening With Low-Dose Computed Tomography. Problems of Social Hygiene Public Health and History of Medicine. 27(Special Issue). 630–636. 7 indexed citations
19.
Blokhin, Ivan A., et al.. (2019). Application of a modified Time-SLIP MRI sequence for visualization of cerebrospinal fluid movement in the cerebral aqueduct and cervical spinal canal. Burdenko s Journal of Neurosurgery. 83(6). 64–64. 2 indexed citations
20.
Chernina, Valeria, et al.. (2019). The future of computer-aided diagnostics in chest computed tomography. Pirogov Russian Journal of Surgery. 91–91. 3 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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