World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7312
World Ranking
8400
National Ranking
3596

Psychology

D-Index
41
Citations
7886
World Ranking
7848
National Ranking
4217

Overview

Steven Franconeri is affiliated with Northwestern University in the United States and conducts research primarily in the field of Computer Science. The scholar's work spans several subfields, including Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, and Food Science.

Their research focuses on a range of topics, notably:

  • Data Visualization and Analytics
  • Visual perception and processing mechanisms
  • Data Analysis with R
  • Visual and Cognitive Learning Processes
  • Visual Attention and Saliency Detection
  • Neural and Behavioral Psychology Studies
  • Sensory Analysis and Statistical Methods

Steven Franconeri has published extensively, with notable recent papers including:

  • The Science of Visual Data Communication: What Works (2021) published in Gothic.net
  • The Unmet Data Visualization Needs of Decision Makers Within Organizations (2021) published in IEEE Transactions on Visualization and Computer Graphics
  • Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication (2021) published in IEEE Transactions on Visualization and Computer Graphics
  • Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation (2022) published in IEEE Transactions on Visualization and Computer Graphics
  • Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways (2021) published in IEEE Transactions on Visualization and Computer Graphics

The venues in which they frequently publish reflect their focus, with the most common being:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Journal of Vision
  • Cognition
  • Gothic.net

Frequent co-authors include Cindy Xiong, Fumeng Yang, Cristina R. Ceja, Kylie Lin, and Caitlyn McColeman, indicating collaborative research efforts primarily in visualization and cognitive science domains.

Best Publications

  • Moving and looming stimuli capture attention.

    Steven L. Franconeri;Daniel J. Simons

  • How many objects can you track? Evidence for a resource-limited attentive tracking mechanism.

    George A. Alvarez;Steven L. Franconeri

  • Flexible cognitive resources: Competitive content maps for attention and memory

    Steven L. Franconeri;George A. Alvarez;Patrick Cavanagh

  • Change Blindness in the Absence of a Visual Disruption

    Daniel J Simons;Steven L Franconeri;Rebecca L Reimer

  • The Science of Visual Data Communication: What Works

    Unknown

  • Eye movements during emotion recognition in faces.

    M. W. Schurgin;J. Nelson;S. Iida;H. Ohira

  • Do New Objects Capture Attention

    Steven L. Franconeri;Andrew Hollingworth;Daniel J. Simons

  • Ranking visualizations of correlation using Weber's law

    Lane Harrison;Fumeng Yang;Steven Franconeri;Remco Chang

  • Tracking Multiple Objects Is Limited Only by Object Spacing, Not by Speed, Time, or Capacity

    Steven Franconeri;S. V. Jonathan;J. M. Scimeca

  • Number estimation relies on a set of segmented objects.

    Steven L. Franconeri;Douglas K. Bemis;George Angelo Alvarez

  • ISOTYPE Visualization: Working Memory, Performance, and Engagement with Pictographs

    Steve Haroz;Robert Kosara;Steven L. Franconeri

  • Look before you regulate: differential perceptual strategies underlying expressive suppression and cognitive reappraisal.

    Genna M. Bebko;Steven L. Franconeri;Kevin N. Ochsner;Joan Y. Chiao

  • Sudden insight is associated with shutting out visual inputs

    Carola Salvi;Carola Salvi;Emanuela Bricolo;Steven L. Franconeri;John Kounios

  • A Task-Based Taxonomy of Cognitive Biases for Information Visualization

    Evanthia Dimara;Steven Franconeri;Catherine Plaisant;Anastasia Bezerianos

  • The siren song of implicit change detection.

    Stephen R. Mitroff;Daniel J. Simons;Steven L. Franconeri

  • How many locations can be selected at once

    Steven L. Franconeri;George A. Alvarez;James T. Enns

  • Four types of ensemble coding in data visualizations

    Danielle Albers Szafir;Steve Haroz;Michael Gleicher;Steven Franconeri

  • Perception of Average Value in Multiclass Scatterplots

    Michael Gleicher;Michael Correll;Christine Nothelfer;Steven Franconeri

  • Evidence against a speed limit in multiple-object tracking

    S. L. Franconeri;J. Y. Lin;J. T. Enns;Z. W. Pylyshyn

  • Object Correspondence across Brief Occlusion Is Established on the Basis of both Spatiotemporal and Surface Feature Cues.

    Andrew Hollingworth;Steven L. Franconeri

  • The dynamic events that capture visual attention: A reply to Abrams and Christ (2005)

    Steven L. Franconeri;Daniel J. Simons

  • Comparing averages in time series data

    Michael Correll;Danielle Albers;Steven Franconeri;Michael Gleicher

Frequent Co-Authors

George A. Alvarez
George A. Alvarez Harvard University
Daniel J. Simons
Daniel J. Simons University of Illinois at Urbana-Champaign
David H. Uttal
David H. Uttal Northwestern University
James T. Enns
James T. Enns University of British Columbia
Michael Gleicher
Michael Gleicher University of Wisconsin–Madison
Joan Y. Chiao
Joan Y. Chiao Northwestern University
Zenon W. Pylyshyn
Zenon W. Pylyshyn Rutgers, The State University of New Jersey
Priti Shah
Priti Shah University of Michigan–Ann Arbor
Dedre Gentner
Dedre Gentner Northwestern University
Susan Goldin-Meadow
Susan Goldin-Meadow University of Chicago

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