Bogdan Badic

1.8k citations
91 papers · 1.3k · h-index 20

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
  • Surgery top 10%
    • Esophageal Cancer Research and Treatment
    • Anorectal Disease Treatments and Outcomes
    • Esophageal and GI Pathology

Papers in

Bogdan Badic

79 papers receiving 1.3k citations

Peers

Bogdan Badic
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 418
  • Surgery 467
  • Oncology 271
  • Health Informatics 11
  • Pulmonary and Respiratory Medicine 216
Replace JianChu Li with:
JianChu Li China
Eun Young Ko South Korea
François Bidault France
Hajime Nakata Japan
Alexander Brook United States
Maxime Barat France
Ok Hee Woo South Korea
Marco Moschetta Italy
Yoshiharu Nakayama Japan
Bal Sanghera United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Bogdan Badic

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Badic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bogdan Badic, 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 Bogdan Badic Line = papers co-authored together Bogdan Badic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 2015113
3 201992
4 201177
5 201663
6 202054
7 201951
8 201041
9 201941
10 201639
11 201235
12 201833
13 202131
14 201830
15 201927
16 201725
17 201823
18 201622
19 201721
20 202221

About Bogdan Badic

Bogdan Badic is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Colorectal Cancer Surgical Treatments (12 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Communication Techniques (11 papers), Wireless Communication Networks Research (10 papers), Diverticular Disease and Complications (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Esophageal Cancer Research and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (418 citations), Surgery (467 citations), Oncology (271 citations), Health Informatics (11 citations) and Pulmonary and Respiratory Medicine (216 citations). Bogdan Badic has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest, Ulrike Schick, Alex Zwanenburg, Jean‐Luc Faucheron, David Voirin, Martin Vallières, Florent Tixier and Vincent Bourbonne. Their work appears in journals such as Cancers, International Journal of Surgery, Colorectal Disease, Diseases of the Colon & Rectum and International Journal of Colorectal Disease.

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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