Iva Petkovska

6.7k total citations · 1 hit paper
58 papers, 1.9k citations indexed

About

Iva Petkovska is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Iva Petkovska has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Oncology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Iva Petkovska's work include Radiomics and Machine Learning in Medical Imaging (34 papers), Colorectal Cancer Surgical Treatments (21 papers) and Colorectal Cancer Screening and Detection (12 papers). Iva Petkovska is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (34 papers), Colorectal Cancer Surgical Treatments (21 papers) and Colorectal Cancer Screening and Detection (12 papers). Iva Petkovska collaborates with scholars based in United States, Brazil and France. Iva Petkovska's co-authors include Natally Horvat, Marc J. Gollub, Brunna Clemente Oliveira, Eric S. Rosenthal, Lee H. Schwamm, Walter J. Koroshetz, ‬David D. B. Bates, Jonathan Goldin, Junting Zheng and Harini Veeraraghavan and has published in prestigious journals such as Journal of Clinical Oncology, Stroke and Radiology.

In The Last Decade

Iva Petkovska

53 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MRI of Rectal Cancer: Tumor Staging, Imaging Techniques, and Management

2019 311 citations Natally Horvat, Iva Petkovska et al. profile →

Peers

Iva Petkovska

RNMI

ONCOL

PRM

SURGE

EPIDE

Alexander Pfeil Germany

Bradley S. Sabloff United States

Ronan Abgral France

Constance de Margerie‐Mellon France

Wolfgang Luboldt Germany

Takeshi Kamitani Japan

Peter Waldenberger Austria

G. Lechner Austria

Amandine Crombé France

M. Galanski Germany

Alexander Pfeil Germany

Iva Petkovska

306 ×0.3

RNMI

112 ×0.1

ONCOL

241 ×0.5

PRM

374 ×1.0

SURGE

147 ×0.4

EPIDE

Citations per year, relative to Iva Petkovska Iva Petkovska (= 1×) peers Alexander Pfeil

Countries citing papers authored by Iva Petkovska

Since Specialization

Citations

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

Fields of papers citing papers by Iva Petkovska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Petkovska

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

All Works

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20 of 20 papers shown

Green, Angela, Qin Zhou, Alexia Iasonos, et al.. (2024). A phase II study of fulvestrant and abemaciclib in hormone receptor positive advanced or recurrent endometrial cancer.. Journal of Clinical Oncology. 42(16_suppl). 5511–5511. 4 indexed citations

Nougaret, Stéphanie, Doenja M. J. Lambregts, Geerard L. Beets, et al.. (2024). Imaging in pelvic exenteration—a multidisciplinary practice guide from the ESGAR-SAR-ESUR-PelvEx collaborative group. European Radiology. 35(5). 2681–2691. 1 indexed citations

Jayaprakasam, Vetri Sudar, et al.. (2023). Watch-and-Wait Approach to Rectal Cancer: The Role of Imaging. Radiology. 307(1). e221529–e221529. 25 indexed citations

Mohammadi, Mohaddese, Elena Kaye, Youngwook Kee, et al.. (2023). Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network. Bioengineering. 10(3). 359–359. 4 indexed citations

Homsi, Maria El, Jennifer S. Golia Pernicka, Yousef Mazaheri, et al.. (2023). Convolutional network denoising for acceleration of multi-shot diffusion MRI. Magnetic Resonance Imaging. 105. 108–113. 1 indexed citations

Homsi, Maria El, ‬David D. B. Bates, Yousef Mazaheri, et al.. (2022). Multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE) in diffusion-weighted imaging for rectal MRI: a quantitative and qualitative analysis at multiple b-values. Abdominal Radiology. 48(2). 448–457. 9 indexed citations

Horvat, Natally, Harini Veeraraghavan, Caio Sérgio Rizkallah Nahas, et al.. (2022). Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal Radiology. 47(8). 2770–2782. 24 indexed citations

Paroder, Viktoriya, Gil Redelman‐Sidi, Natalie Gangai, et al.. (2021). Abdominal imaging findings on computed tomography in patients acutely infected with SARS-CoV-2: what are the findings?. Emergency Radiology. 28(6). 1087–1096. 2 indexed citations

Bates, ‬David D. B., James L. Fuqua, Junting Zheng, et al.. (2020). Measurement of rectal tumor height from the anal verge on MRI: a comparison of internal versus external anal sphincter. Abdominal Radiology. 46(3). 867–872. 10 indexed citations

10.

Bates, ‬David D. B., Natally Horvat, Shannon P. Sheedy, et al.. (2019). Beyond adenocarcinoma: MRI of uncommon rectal neoplasms and mimickers. Abdominal Radiology. 44(11). 3581–3594. 1 indexed citations

11.

Bates, ‬David D. B., Yousef Mazaheri, Stephanie Lobaugh, et al.. (2019). Evaluation of diffusion kurtosis and diffusivity from baseline staging MRI as predictive biomarkers for response to neoadjuvant chemoradiation in locally advanced rectal cancer. Abdominal Radiology. 44(11). 3701–3708. 7 indexed citations

12.

Bates, ‬David D. B., Jennifer S. Golia Pernicka, James L. Fuqua, et al.. (2019). Diagnostic accuracy of b800 and b1500 DWI-MRI of the pelvis to detect residual rectal adenocarcinoma: a multi-reader study. Abdominal Radiology. 45(2). 293–300. 16 indexed citations

13.

Horvat, Natally, ‬David D. B. Bates, & Iva Petkovska. (2019). Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review. Abdominal Radiology. 44(11). 3764–3774. 60 indexed citations

14.

Ghafoor, Soleen, Yulia Lakhman, Kay J. Park, & Iva Petkovska. (2019). Polypoid endometriosis: a mimic of malignancy. Abdominal Radiology. 45(6). 1776–1782. 21 indexed citations

15.

Pernicka, Jennifer S. Golia, Johan Gagnière, Jayasree Chakraborty, et al.. (2019). Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation. Abdominal Radiology. 44(11). 3755–3763. 79 indexed citations

16.

Horvat, Natally, Harini Veeraraghavan, Raphael Pelossof, et al.. (2019). Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations. European Journal of Radiology. 113. 174–181. 31 indexed citations

17.

Goldin, Jonathan, Matthew S. Brown, & Iva Petkovska. (2008). Computer-aided Diagnosis in Lung Nodule Assessment. Journal of Thoracic Imaging. 23(2). 97–104. 36 indexed citations

18.

Petkovska, Iva, et al.. (2007). CT evaluation of congenital choanal atresia: Our experience and review of the literature. Australasian Radiology. 51(3). 236–239. 19 indexed citations

19.

Petkovska, Iva, Sumit K. Shah, Michael F. McNitt‐Gray, et al.. (2006). Pulmonary nodule characterization: A comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps. European Journal of Radiology. 59(2). 244–252. 38 indexed citations

20.

Schwamm, Lee H., Eric S. Rosenthal, Pamela W. Schaefer, et al.. (2004). Virtual TeleStroke Support for the Emergency Department Evaluation of Acute Stroke. Academic Emergency Medicine. 11(11). 1193–1197. 154 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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