Ivana Blažić

1.1k citations
15 papers · 639 indexed · 1 hit paper · h-index 10

Ivana Blažić

12 papers receiving 634 citations

Hit Papers

How to improve access to medical imaging in low- and midd...13620212026202220244080120

Peers

Ivana Blažić
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 483
  • Health Informatics 23
  • Oncology 332
  • Critical Care and Intensive Care Medicine 45
  • Reproductive Medicine 23
Replace Ginevra Danti with:
Ginevra Danti Italy
Vincent Schwarze Germany
Kevin J. Chang United States
Rocío Pérez-Johnston United States
Riccardo Ferrari Italy
Cammillo Talei Franzesi Italy
Raffaella Basilico Italy
Luca Camoni Italy
Joachim Hohmann Switzerland
Nicoletta Gandolfo Italy
Ivana Blažić relative to Ginevra Danti Italy Ginevra Danti's profile →
Citations per field
00.5×11.5×
Ginevra Danti · 1×
Citations per year

Countries citing papers authored by Ivana Blažić

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Blažić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ivana Blažić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivana Blažić Line = papers co-authored together Ivana Blažić links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20230
2 202221
3 20221
4
How to improve access to medical imaging in low- and middle-income countries ?breakdown →
2021136
5 202029
6 202027
7 20190
8 20180
9 20181
10 201825
11 201810
12 2018266
13 201629
14 201685
15 20159

About Ivana Blažić

Ivana Blažić is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Toxicology, having authored 15 papers that have together received 639 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Surgical Treatments (6 papers), MRI in cancer diagnosis (3 papers), Ultrasound in Clinical Applications (2 papers), Pleural and Pulmonary Diseases (2 papers), Radiation Dose and Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (483 citations), Health Informatics (23 citations) and Oncology (332 citations). Ivana Blažić has collaborated with scholars based in Serbia, United States and France. Frequent co-authors include Marc J. Gollub, Milan Gajić, Julio García‐Aguilar, Guy Frija, Boris Brkljačić, Evis Sala, Harini Veeraraghavan, Natally Horvat, Marinela Capanu and Junting Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

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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