Andrei Lebovici

672 total citations
44 papers, 464 citations indexed

About

Andrei Lebovici is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrei Lebovici has authored 44 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrei Lebovici's work include Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (12 papers) and Ovarian cancer diagnosis and treatment (7 papers). Andrei Lebovici is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (12 papers) and Ovarian cancer diagnosis and treatment (7 papers). Andrei Lebovici collaborates with scholars based in Romania, Austria and Italy. Andrei Lebovici's co-authors include Diana Feier, Cosmin Caraiani, Carmen Mihaela Mihu, Florin Graur, Nicolae Crişan, Iulia Andraș, Lavinia Manuela Lenghel, Florin Ioan Elec, Andrei Mihai Măluţan and Bogdan Andrei Suciu and has published in prestigious journals such as Sensors, BMJ Open and Cancers.

In The Last Decade

Andrei Lebovici

41 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrei Lebovici Romania 12 310 149 93 93 70 44 464
Hai‐Bin Shi China 15 589 1.9× 194 1.3× 79 0.8× 67 0.7× 36 0.5× 31 703
Shyam Singh Bisht India 11 246 0.8× 315 2.1× 75 0.8× 115 1.2× 52 0.7× 39 632
Saskia Vande Perre France 8 234 0.8× 91 0.6× 30 0.3× 46 0.5× 52 0.7× 16 348
Joshua Shur United Kingdom 7 258 0.8× 105 0.7× 81 0.9× 54 0.6× 70 1.0× 24 339
Hema Verma United Kingdom 9 169 0.5× 173 1.2× 50 0.5× 61 0.7× 31 0.4× 18 383
Mi Huang United States 10 403 1.3× 195 1.3× 84 0.9× 85 0.9× 119 1.7× 10 505
Chen‐Jiang Wu China 14 574 1.9× 392 2.6× 44 0.5× 42 0.5× 48 0.7× 29 753
Francesco Giuseppe Mazzei Italy 17 236 0.8× 236 1.6× 114 1.2× 297 3.2× 91 1.3× 40 657
Mehdi Taghipour United States 17 390 1.3× 258 1.7× 116 1.2× 115 1.2× 41 0.6× 33 696
Yaqiong Ge China 15 477 1.5× 169 1.1× 113 1.2× 121 1.3× 115 1.6× 47 615

Countries citing papers authored by Andrei Lebovici

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Lebovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Lebovici

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Lebovici. A scholar is included among the top collaborators of Andrei Lebovici 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 Andrei Lebovici. Andrei Lebovici 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.
Coadǎ, Camelia Alexandra, Andrei Lebovici, Gloria Ravegnini, et al.. (2024). Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study. Cancers. 16(8). 1570–1570. 3 indexed citations
2.
Dioşan, Laura, Iulia Andraș, Nicolae Crişan, et al.. (2023). A Light, 3D UNet-based Architecture for fully Automatic Segmentation ofProstate Lesions from T2-MRI Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20.
3.
Stan, Adina, et al.. (2023). MRI Radiomics and Predictive Models in Assessing Ischemic Stroke Outcome—A Systematic Review. Diagnostics. 13(5). 857–857. 23 indexed citations
4.
5.
Lebovici, Andrei, et al.. (2023). Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment. Diagnostics. 13(3). 442–442. 3 indexed citations
6.
Caraiani, Cosmin, Andrei Lebovici, Iulia Andraș, et al.. (2023). MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment. Diagnostics. 13(13). 2300–2300. 10 indexed citations
7.
Dioşan, Laura, Iulia Andraș, Nicolae Crişan, et al.. (2023). Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm. Frontiers in Oncology. 13. 1096136–1096136. 6 indexed citations
8.
Lebovici, Andrei, et al.. (2022). Wilkie’s syndrome as a cause of anxiety-depressive disorder: A case report and review of literature. World Journal of Clinical Cases. 10(5). 1654–1666. 4 indexed citations
9.
Herdean, Andrei, et al.. (2022). Computed Tomography for the Diagnosis of Intraperitoneal Infected Fluid Collections after Surgery for Gastric Cancer. Role of Texture Analysis. Journal of Gastrointestinal and Liver Diseases. 31(2). 184–190. 2 indexed citations
10.
Lebovici, Andrei, et al.. (2021). A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors. Medicine and Pharmacy Reports. 95(1). 11–23. 6 indexed citations
11.
Laimer, Gregor, et al.. (2021). Multiparametric ultrasound in torsion of the testicular appendages: a reliable diagnostic tool?. Medical Ultrasonography. 24(1). 33–33. 3 indexed citations
12.
Mihu, Carmen Mihaela, et al.. (2021). Ultrasonography in the Diagnosis of Adnexal Lesions: The Role of Texture Analysis. Diagnostics. 11(5). 812–812. 24 indexed citations
13.
Lenghel, Lavinia Manuela, et al.. (2020). Computed tomography in the diagnosis of intraperitoneal effusions: The role of texture analysis. Bosnian Journal of Basic Medical Sciences. 21(4). 488–494. 11 indexed citations
14.
15.
Dindelegan, George, et al.. (2020). Post-pancreatitis omental fat necrosis: A diagnostic dilemma. Gastroenterología y Hepatología. 45. 75–77.
16.
Andraș, Iulia, Matteo Ferro, Daniel‐Corneliu Leucuta, et al.. (2020). Systematic sampling during MRI-US fusion prostate biopsy can overcome errors of targeting—prospective single center experience after 300 cases in first biopsy setting. Translational Andrology and Urology. 9(6). 2510–2518. 9 indexed citations
17.
18.
Damian, Laura, Andrei Lebovici, Cristina Pamfil, C. Belizna, & Romana Vulturar. (2020). Rheumatoid Arthritis and CLOVES Syndrome: A Tricky Diagnosis. Diagnostics. 10(7). 467–467. 5 indexed citations
19.
Graur, Florin, Andrei Lebovici, Emil Moiş, et al.. (2015). THE ACCURACY OF ENDORECTAL ULTRASONOGRAPHY IN RECTAL CANCER STAGING. Medicine and Pharmacy Reports. 88(3). 348–356. 10 indexed citations
20.
Lebovici, Andrei, et al.. (2014). Evaluation of the normal-to-diseased apparent diffusion coefficient ratio as an indicator of prostate cancer aggressiveness. BMC Medical Imaging. 14(1). 15–15. 48 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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