Christopher G. Healey

2.4k citations
79 papers · 1.6k · h-index 23

Impact in

Papers in

Christopher G. Healey

72 papers receiving 1.4k citations

Peers

Christopher G. Healey
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 240
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 121
  • Signal Processing 206
  • Cognitive Neuroscience 250
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Citations per field
00.5×1.6×
Jonathan C. Roberts · 1×
Citations per year

Countries citing papers authored by Christopher G. Healey

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Healey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Healey. 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 Christopher G. Healey. The network helps show where Christopher G. Healey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999149
2 1996131
3 2003112
4 2002103
5
Building Attack Scenarios through Integration of Complementary Alert Correlation Method.
200483
6 200460
7 199558
8 200753
9 199845
10 200645
11 199243
12
Thoughts on User Studies: Why, How and When
199339
13 199432
14 200231
15 201528
16 199327
17 201826
18
Visualization viewpoints
200324
19 200824
20 201124

About Christopher G. Healey

Christopher G. Healey is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, Signal Processing and Artificial Intelligence, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (54 papers), Visual perception and processing mechanisms (17 papers), Computer Graphics and Visualization Techniques (17 papers), Aesthetic Perception and Analysis (9 papers), Data Management and Algorithms (8 papers), Image Retrieval and Classification Techniques (7 papers), Video Analysis and Summarization (5 papers) and Color Science and Applications (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (240 citations), Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (121 citations), Signal Processing (206 citations) and Cognitive Neuroscience (250 citations). Christopher G. Healey has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include James T. Enns, Kellogg S. Booth, Victoria Interrante, Robert St. Amant, Colin Ware, David H. Laidlaw, Robert Kosara, Laura Tateosian, Dingbang Xu and Peng Ning. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, ACM Transactions on Applied Perception, Psychology of Aesthetics Creativity and the Arts and American Journal of Tropical Medicine and Hygiene.

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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