Sean M. Culhane

1.3k citations
4 papers · 800 indexed · 1 hit paper · h-index 3
Topics
Visual Attention and Saliency Detection (3 papers)CCD and CMOS Imaging Sensors (2 papers)Visual perception and processing mechanisms (2 papers)
Partner nations
CanadaUnited States

In The Last Decade

Sean M. Culhane

4 papers receiving 751 citations

Hit Papers

Modeling visual attention via selective tuning19952026200520151995250500750

Peers

Sean M. Culhane
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 506
  • Cognitive Neuroscience 426
  • Human-Computer Interaction 112
  • Sensory Systems 66
  • Artificial Intelligence 56
Replace Neal Davis with:
Neal Davis United States
Denis Pellerin France
Laura Renninger United States
Pietro Perona United States
Matei Mancaş Belgium
J. Najemnik United States
Jonathan Harel United States
Yaoru Sun China
Wolf Kienzle United States
Dicky N. Sihite United States
Sean M. Culhane relative to Neal Davis United States Neal Davis's profile →
Citations per field
00.5×1.5×
Neal Davis · 1×
Citations per year

Countries citing papers authored by Sean M. Culhane

Since Specialization
Citations

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

Fields of papers citing papers by Sean M. Culhane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean M. Culhane. 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 Sean M. Culhane. The network helps show where Sean M. Culhane may publish in the future.

Co-authorship network of co-authors of Sean M. Culhane

This figure shows the co-authorship network connecting the top 25 collaborators of Sean M. Culhane. A scholar is included among the top collaborators of Sean M. Culhane 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 Sean M. Culhane. Sean M. Culhane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 4
2 1
3 34
4
Modeling visual attention via selective tuningbreakdown →
761

About Sean M. Culhane

Sean M. Culhane is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 800 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (506 citations), Cognitive Neuroscience (426 citations) and Human-Computer Interaction (112 citations). Sean M. Culhane has collaborated with scholars based in Canada and United States. Frequent co-authors include John K. Tsotsos, Neal Davis, Michael Jenkin, D. Metaxas, Sven Dickinson, Allan Jepson, Suzanne Stevenson, Michael J. Black, Richard Mann and Evangelos Milios. Their work appears in journals such as Artificial Intelligence and Image and Vision Computing.

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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