Neal Davis

1.2k citations
6 papers · 794 indexed · 1 hit paper · h-index 3
Topics
Product Development and Customization (1 paper)CCD and CMOS Imaging Sensors (1 paper)Visual Attention and Saliency Detection (1 paper)
Partner nations
United StatesCanada

In The Last Decade

Neal Davis

6 papers receiving 747 citations

Hit Papers

Modeling visual attention via selective tuning19952026200520151995250500750

Peers

Neal Davis
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 482
  • Cognitive Neuroscience 418
  • Human-Computer Interaction 98
  • Sensory Systems 66
  • Artificial Intelligence 53
Replace Sean M. Culhane with:
Sean M. Culhane Canada
Denis Pellerin France
Laura Renninger United States
J. Najemnik United States
L. Itti United States
Thomas S. A. Wallis Germany
Yaoru Sun China
Wolf Kienzle United States
Martin Jüttner Germany
Matei Mancaş Belgium
Neal Davis relative to Sean M. Culhane Canada Sean M. Culhane's profile →
Citations per field
00.5×1.7×
Sean M. Culhane · 1×
Citations per year

Countries citing papers authored by Neal Davis

Since Specialization
Citations

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

Fields of papers citing papers by Neal Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Neal Davis. A scholar is included among the top collaborators of Neal Davis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neal Davis. Neal Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 22
2 2
3 7
4
Cell-based Adaptive Mesh Refinement on the GPU with Applications to Exascale Supercomputing
1
5 1
6
Modeling visual attention via selective tuningbreakdown →
761

About Neal Davis

Neal Davis is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Hardware and Architecture, having authored 6 papers that have together received 794 indexed citations. Recurring topics across this work include Product Development and Customization (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (482 citations), Cognitive Neuroscience (418 citations) and Human-Computer Interaction (98 citations). Neal Davis has collaborated with scholars based in United States and Canada. Frequent co-authors include Sean M. Culhane, John K. Tsotsos, David Finkelhor, Adam J. Zolotor, Howard Dubowitz, Nicholas Takach, James T. Allison and Stefan Miska. Their work appears in journals such as PEDIATRICS, Artificial Intelligence and Journal of Mechanical Design.

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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