Jean-Daniel Fekete
Scholar

Jean-Daniel Fekete

Google Scholar ID: PMZ3h7sAAAAJ
Senior Research Scientist, INRIA Saclay Île-de-France, Université Paris-Saclay
Information VisualizationVisual AnalyticsHuman-Computer Interaction
Citations & Impact
All-time
Citations
6,929
 
H-index
42
 
i10-index
103
 
Publications
20
 
Co-authors
189
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - IEEE VIS 2024 Test of Time Award
  • - IEEE VGTC Visualization Technical Award (2020)
  • - IEEE VGTC Visualization Academy (2020)
  • - ACM SIGCHI Academy (2020)
  • - Best Paper, CHI 2025
  • - Best Paper Honorable Mention, CHI 2025
  • - Best Paper Honorable Mention, AVI 2020
  • - AMiner Most Influential Scholar Award Honorable Mention (2010~2020, HCI)
  • - AMiner Most Influential Scholar Award (2007~2017, Visualization)
  • - Best Paper, ACM UIST 2016
  • - Computing Reviews' Notable Books and Articles 2013
  • - Best Paper Honorable Mention, IEEE InfoVis 2013
  • - Best Paper, IFIP Interact 2013
  • - Best Paper, CHI 2013
  • - Best Paper Honorable Mention, IEEE InfoVis 2012
  • - Best Paper Honorable Mention, Fraunhofer IGD 2011
  • - Google Research Award, 2011
  • - Best Paper, IEEE InfoVis 2008
  • - Brian Shakel Award (Best Paper), Interact 2007
Research Experience
  • - Research areas include Visualization, Visual Analytics, Information Visualization, and Human-Computer Interaction
  • - Current funded projects: ParcoursVis (Visualization of Medical Care Pathways for the Health-Data-Hub) and URGE (Visualization of Medical Care Pathways to optimize the emergency services of the Parisian Hospitals)
  • - Professional activities: Co-Chair of the IEEE VIS Area Curation Committee (2023-2025), Member of the Eurographics Publication Board, Chair of the Eurovis Best Ph.D. Award Committee
Background
  • Researcher in Computer Science, Scientific Leader of the Inria Research Lab Aviz, also part of Université Paris-Saclay. His research focuses on exploring and understanding data through interactive visualizations enhanced with interactive analysis methods.
Miscellany
  • Chinese Name: 傅可青, thanks to Kwan-Liu Ma and Xiaoru Yuan.