Tilke Judd

3.4k citations
10 papers · 2.2k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Tilke Judd

10 papers receiving 2.1k citations

Hit Papers

Learning to predict where humans look 2009 · 1.3k citations
1.3k20092026201420204008001.2k

Peers

Tilke Judd
Comparison fields: 5 of 86
  • Human-Computer Interaction 532
  • Computer Vision and Pattern Recognition 1.9k
  • Sensory Systems 446
  • Computer Graphics and Computer-Aided Design 261
  • Cognitive Neuroscience 533
Replace Simone Frintrop with:
Simone Frintrop Germany
Doug DeCarlo United States
Aykut Erdem Türkiye
Yu-Shuen Wang Taiwan
Ulrich Engelke Australia
Yusuke Sugano Japan
Frédéric Pighin United States
Naila Murray France
Bruce Gooch United States
Jianwen Xie China
Tilke Judd relative to Simone Frintrop Germany Simone Frintrop's profile →
Citations per field
00.5×12.4×
Simone Frintrop · 1×
Citations per year

Countries citing papers authored by Tilke Judd

Since Specialization
Citations

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

Fields of papers citing papers by Tilke Judd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Tilke Judd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tilke Judd Line = papers co-authored together Tilke Judd links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
A Benchmark of Computational Models of Saliency to Predict Human Fixations
2012338
2 201162
3 201142
4 20102
5
Learning to predict where humans look
Hit paper breakdown →
20091323
6 20071
7 2007168
8 2007168
9 200222
10 200159

About Tilke Judd

Tilke Judd is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Computer Vision and Pattern Recognition, Geology and Cognitive Neuroscience, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Visual perception and processing mechanisms (2 papers), Gaze Tracking and Assistive Technology (2 papers), Advanced Vision and Imaging (2 papers), Interactive and Immersive Displays (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (532 citations), Computer Vision and Pattern Recognition (1.9k citations), Sensory Systems (446 citations), Computer Graphics and Computer-Aided Design (261 citations) and Cognitive Neuroscience (533 citations). Tilke Judd has collaborated with scholars based in United States and Spain. Frequent co-authors include Frédo Durand, Antonio Torralba, Krista A. Ehinger, Edward H. Adelson, Wendy Ju, Diego Gutiérrez, Leonardo Bonanni and Matthew S. Reynolds. Their work appears in journals such as ACM Transactions on Graphics, Journal of Vision and DSpace@MIT (Massachusetts Institute of Technology).

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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