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Computer Science

D-Index
35
Citations
4760
World Ranking
11767
National Ranking
743

Overview

Benjamin Bach is affiliated with the University of Edinburgh in the United Kingdom. Their research spans the intersection of computer science and medicine, highlighting a focus on both computational methods and clinical applications. The main fields of study include Computer Science and Medicine, with significant contributions to the subfields of Computer Vision and Pattern Recognition, Infectious Diseases, Artificial Intelligence, Neurology, and Sociology and Political Science.

The scientist's research topics cover a range of areas that illustrate expertise in data-driven analysis and health-related studies. These topics include:

  • Data Visualization and Analytics
  • COVID-19 Clinical Research Studies
  • Long-Term Effects of COVID-19
  • SARS-CoV-2 and COVID-19 Research
  • Data Analysis with R
  • Video Analysis and Summarization
  • Multimedia Communication and Technology

Benjamin Bach has contributed to multiple high-profile publications, including notable recent papers such as:

  • "SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses," 2022, published in Cell
  • "Co-infections, secondary infections, and antimicrobial use in patients hospitalised with COVID-19 during the first pandemic wave from the ISARIC WHO CCP-UK study: a multicentre, prospective cohort study," 2021, published in The Lancet Microbe
  • "Inflammatory profiles across the spectrum of disease reveal a distinct role for GM-CSF in severe COVID-19," 2021, published in Science Immunology
  • "Outcome of Hospitalization for COVID-19 in Patients with Interstitial Lung Disease. An International Multicenter Study," 2020, published in American Journal of Respiratory and Critical Care Medicine
  • "Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study," 2021, published in The Lancet Respiratory Medicine

Frequent co-authors collaborating with Benjamin Bach include:

  • J. Kenneth Baillie
  • Peter Openshaw
  • Malcolm G. Semple
  • Beatrice Alex
  • Laura Merson

Benjamin Bach often publishes in venues known for computational and medical research. The frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • The Lancet Respiratory Medicine
  • Computer Graphics Forum
  • IEEE Computer Graphics and Applications

Best Publications

  • The Hologram in My Hand: How Effective is Interactive Exploration of 3D Visualizations in Immersive Tangible Augmented Reality?

    Benjamin Bach;Ronell Sicat;Johanna Beyer;Maxime Cordeil

  • Matrix reordering methods for table and network visualization

    Michael Behrisch;Benjamin Bach;Nathalie Henry Riche;Tobias Schreck

  • GraphDiaries: Animated Transitions andTemporal Navigation for Dynamic Networks

    Benjamin Bach;Emmanuel Pietriga;Jean-Daniel Fekete

  • Timelines Revisited: A Design Space and Considerations for Expressive Storytelling

    Matthew Brehmer;Bongshin Lee;Benjamin Bach;Nathalie Henry Riche

  • Weighted graph comparison techniques for brain connectivity analysis

    Basak Alper;Benjamin Bach;Nathalie Henry Riche;Tobias Isenberg

  • Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data

    Benjamin Bach;Conglei Shi;Nicolas Heulot;Tara Madhyastha

  • A Review of Temporal Data Visualizations Based on Space-Time Cube Operations

    Benjamin Bach;Pierre Dragicevic;Daniel Archambault;Christophe Hurter

  • Grand Challenges in Immersive Analytics

    Barrett Ens;Benjamin Bach;Maxime Cordeil;Ulrich Engelke

  • DXR: A Toolkit for Building Immersive Data Visualizations

    Ronell Sicat;Jiabao Li;Junyoung Choi;Maxime Cordeil

  • A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space-Time Cubes

    B. Bach;P. Dragicevic;D. Archambault;C. Hurter

  • Visualizing dynamic networks with matrix cubes

    Benjamin Bach;Emmanuel Pietriga;Jean-Daniel Fekete

  • Design Patterns for Data Comics

    Benjamin Bach;Zezhong Wang;Matteo Farinella;Dave Murray-Rust

  • Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks

    B. Bach;N. Henry-Riche;T. Dwyer;T. Madhyastha

  • IATK: An Immersive Analytics Toolkit

    Maxime Cordeil;Andrew Cunningham;Benjamin Bach;Christophe Hurter

  • Telling Stories about Dynamic Networks with Graph Comics

    Benjamin Bach;Natalie Kerracher;Kyle Wm. Hall;Sheelagh Carpendale

  • The Emerging Genre of Data Comics

    Benjamin Bach;Nathalie Henry Riche;Sheelagh Carpendale;Hanspeter Pfister

  • Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization

    Benjamin Bach;Nathalie Henry Riche;Christophe Hurter;Kim Marriott

  • Comparing Effectiveness and Engagement of Data Comics and Infographics

    Zezhong Wang;Shunming Wang;Matteo Farinella;Dave Murray-Rust

  • Information Visualization Evaluation Using Crowdsourcing

    Rita Borgo;Luana Micallef;Benjamin Bach;Fintan McGee

  • Non-steroidal anti-inflammatory drug use and outcomes of COVID-19 in the ISARIC Clinical Characterisation Protocol UK cohort: a matched, prospective cohort study.

    Thomas M Drake;Cameron J Fairfield;Riinu Pius;Stephen R Knight

  • Immersive Analytics

    Bongshin Lee;Benjamin Bach;Tim Dwyer;Kim Marriott

Frequent Co-Authors

Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA
Tim Dwyer
Tim Dwyer Monash University
Hanspeter Pfister
Hanspeter Pfister Harvard University
Nathalie Henry Riche
Nathalie Henry Riche Microsoft (United States)
Kim Marriott
Kim Marriott Monash University
Bongshin Lee
Bongshin Lee Microsoft (United States)
Min Chen
Min Chen University of Oxford
Sheelagh Carpendale
Sheelagh Carpendale Simon Fraser University
Pierre Dragicevic
Pierre Dragicevic French Institute for Research in Computer Science and Automation - INRIA
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA

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