Sven Bambach

821 total citations
24 papers, 478 citations indexed

About

Sven Bambach is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Automotive Engineering. According to data from OpenAlex, Sven Bambach has authored 24 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Automotive Engineering. Recurrent topics in Sven Bambach's work include Visual Attention and Saliency Detection (5 papers), Spatial Cognition and Navigation (4 papers) and Child and Animal Learning Development (4 papers). Sven Bambach is often cited by papers focused on Visual Attention and Saliency Detection (5 papers), Spatial Cognition and Navigation (4 papers) and Child and Animal Learning Development (4 papers). Sven Bambach collaborates with scholars based in United States and United Kingdom. Sven Bambach's co-authors include David Crandall, Yu Chen, Stefan Lee, Chen Yu, Linda B. Smith, Mai‐Lan Ho, Yu Chen, John M. Franchak, Mark Smith and Norbert G. Campeau and has published in prestigious journals such as PEDIATRICS, American Journal of Neuroradiology and Cognitive Science.

In The Last Decade

Sven Bambach

23 papers receiving 460 citations

Peers

Sven Bambach
Peter Presti United States
H. Junker Switzerland
Gabriel J. Diaz United States
Dani Tost Spain
Min‐Hyung Choi United States
Kevin Desai United States
Zhefan Ye United States
R. Foulds United States
Sven Bambach
Citations per year, relative to Sven Bambach Sven Bambach (= 1×) peers Álvaro Uribe-Quevedo

Countries citing papers authored by Sven Bambach

Since Specialization
Citations

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

Fields of papers citing papers by Sven Bambach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Bambach

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Bambach. A scholar is included among the top collaborators of Sven Bambach 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 Sven Bambach. Sven Bambach 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.
Adler, Brent H., Sven Bambach, Charmaine B. Lo, et al.. (2025). Using deep learning for estimation of time-since-injury in pediatric accidental fractures. Pediatric Radiology. 55(6). 1257–1269.
2.
Bambach, Sven, et al.. (2023). The Deterioration Risk Index: Developing and Piloting a Machine Learning Algorithm to Reduce Pediatric Inpatient Deterioration*. Pediatric Critical Care Medicine. 24(4). 322–333. 9 indexed citations
3.
Boch, Samantha, et al.. (2022). Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model. JMIR Pediatrics and Parenting. 5(1). e33614–e33614. 4 indexed citations
4.
Bambach, Sven & Mai‐Lan Ho. (2022). Deep Learning for Synthetic CT from Bone MRI in the Head and Neck. American Journal of Neuroradiology. 43(8). 1172–1179. 15 indexed citations
5.
Bambach, Sven, et al.. (2021). Ultrashort Echo-Time MR Imaging of the Pediatric Head and Neck. Magnetic Resonance Imaging Clinics of North America. 29(4). 583–593. 4 indexed citations
6.
Smith, Mark, et al.. (2021). Zero-TE MRI: Potential Applications in the Oral Cavity and Oropharynx. Topics in Magnetic Resonance Imaging. 30(2). 105–115. 5 indexed citations
7.
Rust, Steve, Sven Bambach, Jeffrey Hoffman, et al.. (2020). The Deterioration Risk Index: Predicting Pediatric Inpatient Deterioration with Machine Learning and the Electronic Health Record. PEDIATRICS. 146. 229–230. 1 indexed citations
8.
Sezgın, Emre, et al.. (2020). Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning. JMIR Formative Research. 4(6). e18279–e18279. 1 indexed citations
9.
Bambach, Sven, Emre Sezgın, Yungui Huang, et al.. (2020). Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning. Journal of Child Neurology. 35(13). 873–878. 6 indexed citations
10.
Rust, Steve, Sven Bambach, Jeffrey Hoffman, et al.. (2020). The Deterioration Risk Index: Predicting Pediatric Inpatient Deterioration with Machine Learning and the Electronic Health Record. PEDIATRICS. 146(1_MeetingAbstract). 229–230. 2 indexed citations
11.
Crandall, David, et al.. (2018). From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video.. British Machine Vision Conference. 295. 4 indexed citations
12.
Bambach, Sven, David Crandall, Linda B. Smith, & Yu Chen. (2018). Toddler-Inspired Visual Object Learning. UEA Digital Repository (University of East Anglia). 31. 1201–1210. 28 indexed citations
13.
Borjon, Jeremy I., Sven Bambach, Lauren K. Slone, et al.. (2018). A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras. Journal of Visualized Experiments. 4 indexed citations
14.
Borjon, Jeremy I., Sven Bambach, Lauren K. Slone, et al.. (2018). A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras. Journal of Visualized Experiments. 5 indexed citations
15.
Bambach, Sven, David Crandall, Linda B. Smith, & Yu Chen. (2017). An egocentric perspective on active vision and visual object learning in toddlers. 290–295. 13 indexed citations
16.
Chen, Yu, Sven Bambach, Zehua Zhang, & David Crandall. (2017). Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models. 5007. 2773–2782. 2 indexed citations
17.
Bambach, Sven, David Crandall, Linda B. Smith, & Yu Chen. (2016). Active Viewing in Toddlers Facilitates Visual Object Learning: An Egocentric Vision Approach.. Cognitive Science. 12 indexed citations
18.
Bambach, Sven, Stefan Lee, David Crandall, & Yu Chen. (2015). Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. PubMed. 2015. 1949–1957. 244 indexed citations
19.
Bambach, Sven, David Crandall, & Yu Chen. (2015). Viewpoint Integration for Hand-Based Recognition of Social Interactions from a First-Person View. PubMed. 2015. 351–354. 9 indexed citations
20.
Bambach, Sven, John M. Franchak, David Crandall, & Chen Yu. (2014). Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction. Cognitive Science. 36(36). 12 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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