D.H. Ballard

13.2k citations
64 papers · 9.1k indexed · 6 hit papers · h-index 23

D.H. Ballard

61 papers receiving 8.5k citations

Hit Papers

Eye guidance in natural vis...521198120261996201110002.0k3.0k

Peers

D.H. Ballard
Comparison fields: 5 of 208
  • Computer Vision and Pattern Recognition 3.3k
  • Cognitive Neuroscience 2.9k
  • Human-Computer Interaction 440
  • Media Technology 439
  • Cancer Research 644
Replace Tiejun Huang with:
Tiejun Huang China
Michael Cohen United States
Joachim M. Buhmann Switzerland
Matthias Bethge Germany
Lior Wolf Israel
Vittorio Ferrari Switzerland
Zhuowen Tu United States
Wanqing Li China
Dagan Feng Australia
Jianfeng Feng China
D.H. Ballard relative to Tiejun Huang China Tiejun Huang's profile →
Citations per field
00.5×4.3×
Tiejun Huang · 1×
Citations per year

Countries citing papers authored by D.H. Ballard

Since Specialization
Citations

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

Fields of papers citing papers by D.H. Ballard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.H. Ballard. 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 D.H. Ballard. The network helps show where D.H. Ballard may publish in the future.

Co-authorship network

The 25 scholars most cited alongside D.H. Ballard, 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 D.H. Ballard Line = papers co-authored together D.H. Ballard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201113
2
Eye guidance in natural vision: Reinterpreting saliencebreakdown →
2011521
3 201011
4 201030
5 20097
6 20098
7 200916
8 200912
9 200952
10 200772
11 20076
12 2003226
13 2000102
14 2000100
15
Functional MRI studies of spatial and nonspatial working memorybreakdown →
1998810
16 1998108
17 1992242
18
Constraint interaction in shape-from-shading algorithms
19836
19
Parameter networks: Towards a theory of low level vision
198111
20
An approach to knowledge-directed image analysis
197732

About D.H. Ballard

D.H. Ballard is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 64 papers that have together received 9.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Visual perception and processing mechanisms (8 papers), Robotics and Sensor-Based Localization (8 papers), Neural dynamics and brain function (7 papers), Gaze Tracking and Assistive Technology (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Cognitive Neuroscience (2.9k citations) and Human-Computer Interaction (440 citations). D.H. Ballard has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jerome A. Feldman, Mark D’Esposito, Mary Hayhoe, Geoffrey K. Aguirre, Eric Zarahn, Vito J. Palombella, Francesco Melandri, Jeremiah Hagler, Zhe Chen and David C. Scherer. Their work appears in journals such as Journal of Vision, Genetic Epidemiology, NeuroImage, Human Molecular Genetics and Cognitive Science.

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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