Jasenko Krdzalic

1.3k total citations · 1 hit paper
13 papers, 681 citations indexed

About

Jasenko Krdzalic is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases. According to data from OpenAlex, Jasenko Krdzalic has authored 13 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 5 papers in Infectious Diseases. Recurrent topics in Jasenko Krdzalic's work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 diagnosis using AI (5 papers). Jasenko Krdzalic is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (5 papers) and COVID-19 diagnosis using AI (5 papers). Jasenko Krdzalic collaborates with scholars based in Netherlands, United States and Sweden. Jasenko Krdzalic's co-authors include Wouter M. van Everdingen, Bram Geurts, Mathias Prokop, Monique Brink, Ludo F.M. Beenen, Bram van Ginneken, Cornelia Schaefer‐Prokop, Henriëtte M. E. Quarles van Ufford, Hester A. Gietema and J. Lauran Stöger and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Jasenko Krdzalic

13 papers receiving 664 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.

CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluation

2020 550 citations Mathias Prokop, Wouter M. van Everdingen et al. Radiology profile →

Peers

Jasenko Krdzalic

RNMI

ONCOL

CCICM

NEURO

Wouter M. van Everdingen Netherlands

Carlotta Rucci Italy

Francesco Pucciarelli Italy

Chungao Li China

Tiziano Polidori Italy

Bram Geurts Netherlands

Inès Saab France

Chiara De Dominicis Italy

Gisella Guido Italy

Qiongjie Hu China

Wouter M. van Everdingen Netherlands

Jasenko Krdzalic

349 ×0.9

RNMI

318 ×0.9

136 ×0.7

ONCOL

124 ×0.9

CCICM

147 ×1.2

NEURO

Citations per year, relative to Jasenko Krdzalic Jasenko Krdzalic (= 1×) peers Wouter M. van Everdingen

Countries citing papers authored by Jasenko Krdzalic

Since Specialization

Citations

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

Fields of papers citing papers by Jasenko Krdzalic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasenko Krdzalic

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

All Works

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13 of 13 papers shown

Nobel, J. Martijn, et al.. (2024). Natural Language Processing Algorithm Used for Staging Pulmonary Oncology from Free-Text Radiological Reports: “Including PET-CT and Validation Towards Clinical Use”. Journal of Imaging Informatics in Medicine. 37(1). 3–12. 2 indexed citations

Krdzalic, Jasenko, et al.. (2024). Radiological phenotypes in pulmonary sarcoidosis: a reliability study of newly defined high-resolution computer tomography phenotypes. BJR|Open. 7(1). tzaf017–tzaf017. 1 indexed citations

Krdzalic, Jasenko, Elma Meershoek‐Klein Kranenbarg, Annet G.H. Roodvoets, et al.. (2023). Results of a diagnostic imaging audit in a randomised clinical trial in rectal cancer highlight the importance of careful planning and quality control. Insights into Imaging. 14(1). 206–206. 3 indexed citations

Krdzalic, Jasenko, Michiel H. M. Gronenschild, Sofía Ramiro, et al.. (2023). Three-month follow-up after severe COVID-19 infection: are chest CT results associated with respiratory outcomes and respiratory recovery in COVID-19 patients?. BMC Pulmonary Medicine. 23(1). 74–74. 1 indexed citations

Buijs, Jacqueline, Jasenko Krdzalic, Martijn D. de Kruif, et al.. (2023). Pulmonary embolism in hospitalized COVID-19 patients: Short- and long-term clinical outcomes. SHILAP Revista de lepidopterología. 12. 100142–100142. 2 indexed citations

Buijs, Jacqueline, Jasenko Krdzalic, Martijn D. de Kruif, et al.. (2023). Systematic screening versus clinical gestalt in the diagnosis of pulmonary embolism in COVID-19 patients in the emergency department. PLoS ONE. 18(3). e0283459–e0283459. 3 indexed citations

Prokop, Mathias, Wouter M. van Everdingen, Henriëtte M. E. Quarles van Ufford, et al.. (2020). CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluation. Radiology. 296(2). E97–E104. 550 indexed citations breakdown →

Kwee, Robert M., et al.. (2020). CT Scanning in Suspected Stroke or Head Trauma: Is it Worth Going the Extra Mile and Including the Chest to Screen for COVID-19 Infection?. American Journal of Neuroradiology. 41(7). 1165–1169. 4 indexed citations

Krdzalic, Jasenko, et al.. (2020). Radiological Society of North America Chest CT Classification System for Reporting COVID-19 Pneumonia: Interobserver Variability and Correlation with Reverse-Transcription Polymerase Chain Reaction. Radiology Cardiothoracic Imaging. 2(3). e200213–e200213. 53 indexed citations

10.

Boers, Tim, Yipeng Hu, Eli Gibson, et al.. (2020). Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans. Physics in Medicine and Biology. 65(6). 65002–65002. 35 indexed citations

11.

Krdzalic, Jasenko, et al.. (2020). Diagnostic performance of chest CT in screening patients with suspected COVID-19 infection in a Western population. British Journal of Radiology. 93(1113). 9 indexed citations

12.

Krdzalic, Jasenko, Regina G. H. Beets‐Tan, Sanne Engelen, et al.. (2020). MRI predicts increased eligibility for sphincter preservation after CRT in low rectal cancer. Radiotherapy and Oncology. 145. 223–228. 8 indexed citations

13.

Krdzalic, Jasenko, Monique Maas, Marc J. Gollub, & Regina G. H. Beets‐Tan. (2019). Guidelines for MR imaging in rectal cancer: Europe versus United States. Abdominal Radiology. 44(11). 3498–3507. 10 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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