Charlie Budd

463 total citations
5 papers, 6 citations indexed

About

Charlie Budd is a scholar working on Surgery, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Charlie Budd has authored 5 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Oncology. Recurrent topics in Charlie Budd's work include Colorectal Cancer Screening and Detection (2 papers), Surgical Simulation and Training (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Charlie Budd is often cited by papers focused on Colorectal Cancer Screening and Detection (2 papers), Surgical Simulation and Training (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Charlie Budd collaborates with scholars based in United Kingdom, United States and China. Charlie Budd's co-authors include Sébastien Ourselin, Martin Huber, Tom Vercauteren, Zijian Zhou, Reuben Dorent, Zhe Han, Gongyu Zhang, Christos Bergeles, Jonathan Shapey and Nicholas Raison and has published in prestigious journals such as Scientific Reports, Scientific Data and Lecture notes in computer science.

In The Last Decade

Charlie Budd

3 papers receiving 6 citations

Peers

Charlie Budd
X. T. Huang China
H. Xu China
Vidhya Venkateswaran United States
Guadalupe Flores Tomasino United States
Catarina Oliveira Portugal
Michelle C. Williams United Kingdom
Sathish Muthu India
Aine McCarthy Ireland
Jolanta Sobolewska United Kingdom
Nerea Castillo Flores Spain
X. T. Huang China
Charlie Budd
Citations per year, relative to Charlie Budd Charlie Budd (= 1×) peers X. T. Huang

Countries citing papers authored by Charlie Budd

Since Specialization
Citations

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

Fields of papers citing papers by Charlie Budd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlie Budd

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

All Works

5 of 5 papers shown
1.
2.
Zhou, Zijian, et al.. (2025). CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. Scientific Data. 12(1). 825–825. 1 indexed citations
3.
Budd, Charlie, et al.. (2025). SegMatch: semi-supervised surgical instrument segmentation. Scientific Reports. 15(1). 14042–14042.
4.
Budd, Charlie, Jianrong Qiu, Martin Huber, et al.. (2023). Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing. Lecture notes in computer science. 658–667. 2 indexed citations
5.
Budd, Charlie, et al.. (2023). Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 11(4). 1215–1224. 3 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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Rankless by CCL
2026