Bogdan Badic

1.7k total citations
64 papers, 883 citations indexed

About

Bogdan Badic is a scholar working on Oncology, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Bogdan Badic has authored 64 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 19 papers in Surgery and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Bogdan Badic's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced MIMO Systems Optimization (12 papers) and Colorectal Cancer Surgical Treatments (11 papers). Bogdan Badic is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced MIMO Systems Optimization (12 papers) and Colorectal Cancer Surgical Treatments (11 papers). Bogdan Badic collaborates with scholars based in France, Austria and United States. Bogdan Badic's co-authors include Dimitris Visvikis, Mathieu Hatt, Ulrike Schick, Jean‐Luc Faucheron, Florent Tixier, D. Voirin, Catherine Cheze Le Rest, Vincent Bourbonne, Jérémie Thereaux and Gilles Poncet and has published in prestigious journals such as Scientific Reports, American Journal of Transplantation and Journal of Clinical Pathology.

In The Last Decade

Bogdan Badic

56 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bogdan Badic France 18 387 325 277 258 98 64 883
Eun‐Suk Cho South Korea 18 284 0.7× 324 1.0× 230 0.8× 224 0.9× 129 1.3× 64 979
Meng Jiang China 14 326 0.8× 328 1.0× 118 0.4× 154 0.6× 77 0.8× 25 827
Andreas Kurth Germany 16 312 0.8× 52 0.2× 243 0.9× 52 0.2× 79 0.8× 49 804
Keisuke Uehara Japan 21 994 2.6× 148 0.5× 1.2k 4.4× 409 1.6× 74 0.8× 147 1.7k
Laura Frigerio Italy 14 171 0.4× 104 0.3× 104 0.4× 151 0.6× 73 0.7× 46 665
Michael L. Talbert United States 13 280 0.7× 86 0.3× 97 0.4× 228 0.9× 30 0.3× 42 685
Eliodoro Faiella Italy 17 233 0.6× 280 0.9× 74 0.3× 235 0.9× 161 1.6× 98 817
Sivan Lieberman Israel 11 148 0.4× 230 0.7× 114 0.4× 248 1.0× 39 0.4× 29 711
Sung Ho Hwang South Korea 17 202 0.5× 347 1.1× 77 0.3× 345 1.3× 92 0.9× 80 1.1k
Jason Xie Canada 12 121 0.3× 405 1.2× 48 0.2× 135 0.5× 108 1.1× 24 943

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-authorship network of co-authors of Bogdan Badic

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Badic. A scholar is included among the top collaborators of Bogdan Badic 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 Bogdan Badic. Bogdan Badic 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.
Metges, Jean‐Philippe, Bogdan Badic, Rosemary L. Sparrow, et al.. (2025). Perioperative red blood cell transfusion following high-risk oncologic surgery for tumor resection: a systematic review and meta-analysis. Transfusion Clinique et Biologique. 33(1). 30–39.
2.
Badic, Bogdan, et al.. (2025). Automatic future remnant segmentation in liver resection planning. International Journal of Computer Assisted Radiology and Surgery. 20(5). 837–845. 2 indexed citations
3.
Bourbonne, Vincent, et al.. (2024). Learning Transferability in Deep Segmentation of Liver Metastases. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
4.
Badic, Bogdan, et al.. (2024). Improving abdominal image segmentation with overcomplete shape priors. Computerized Medical Imaging and Graphics. 113. 102356–102356. 4 indexed citations
5.
Bourbonne, Vincent, Ulrike Schick, Olivier Pradier, et al.. (2023). Radiomics Approaches for the Prediction of Pathological Complete Response after Neoadjuvant Treatment in Locally Advanced Rectal Cancer: Ready for Prime Time?. Cancers. 15(2). 432–432. 17 indexed citations
6.
Badic, Bogdan, et al.. (2023). Sensitivity of fecal immunochemical test and risk factors for interval colorectal cancer in a French population. Clinics and Research in Hepatology and Gastroenterology. 47(3). 102093–102093. 3 indexed citations
7.
Tuech, Jean‐Jacques, Gilles Manceau, Mehdi Ouaïssi, et al.. (2021). Are colorectal cancer patients at risk for COVID-19 infection during the postoperative period? The Covid-GRECCAR study. International Journal of Colorectal Disease. 36(3). 611–615. 2 indexed citations
8.
Hatt, Mathieu, Catherine Cheze Le Rest, Florent Tixier, et al.. (2020). Radiomics in PET/CT: Current Status and Future AI-Based Evolutions. Seminars in Nuclear Medicine. 51(2). 126–133. 43 indexed citations
9.
Cariou, Mélanie, Philippe Saliou, Bogdan Badic, et al.. (2019). Histopathological factors help to predict lymph node metastases more efficiently than extra-nodal recurrences in submucosa invading pT1 colorectal cancer. Scientific Reports. 9(1). 8342–8342. 25 indexed citations
10.
Hatt, Mathieu, Florent Tixier, Marie-Charlotte Desseroit, et al.. (2019). Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images. Scientific Reports. 9(1). 14925–14925. 5 indexed citations
11.
Badic, Bogdan, Mathieu Hatt, Stéphanie Durand, et al.. (2019). Radiogenomics-based cancer prognosis in colorectal cancer. Scientific Reports. 9(1). 9743–9743. 38 indexed citations
12.
13.
Badic, Bogdan, et al.. (2018). Potential Complementary Value of Noncontrast and Contrast Enhanced CT Radiomics in Colorectal Cancers. Academic Radiology. 26(4). 469–479. 27 indexed citations
14.
Badic, Bogdan, et al.. (2018). Surgical and oncological long term outcomes of gastrointestinal stromal tumors (GIST) resection- retrospective cohort study. International Journal of Surgery. 53. 257–261. 13 indexed citations
15.
Lechaux, D., Jacques Delarue, Bogdan Badic, et al.. (2016). Laparoscopic sleeve gastrectomy versus laparoscopic mini gastric bypass: One year outcomes. International Journal of Surgery. 33. 18–22. 36 indexed citations
16.
Thereaux, Jérémie, et al.. (2016). Primary Closure Versus Biliary Drainage After Laparoscopic Choledocotomy. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 26(1). e32–e36. 6 indexed citations
17.
Boleslawski, Emmanuel, Ahmed Bouras, Stéphanie Truant, et al.. (2013). Hepatic Artery Ligation for Arterial Rupture Following Liver Transplantation: A Reasonable Option. American Journal of Transplantation. 13(4). 1055–1062. 11 indexed citations
18.
Sulpice, Laurent, et al.. (2012). Conservative surgical management of Boerhaave's syndrome: Experience of two tertiary referral centers. International Journal of Surgery. 11(1). 64–67. 31 indexed citations
19.
Badic, Bogdan, et al.. (2007). Spontaneous splenic rupture associated with Listeria endocarditis. The American Journal of Emergency Medicine. 25(9). 1086.e3–1086.e5. 9 indexed citations
20.
Elmirghani, Jaafar M. H., et al.. (2006). IRIS: AN INTELIGENT RADIO-FIBRE TELEMATICS SYSTEM. 5 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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