David L. Kao

498 citations
26 papers · 370 · h-index 10

Impact in

Papers in

David L. Kao

24 papers receiving 351 citations

Peers

David L. Kao
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 213
  • Computer Vision and Pattern Recognition 250
  • Computational Mechanics 114
  • Signal Processing 41
  • Computational Mathematics 2
Replace Florian Ferstl with:
Florian Ferstl Germany
Raphael Fuchs Switzerland
H. Jänicke Germany
Benjamin Vrolijk Netherlands
Alexander Wiebel Germany
Alexander Kühn Germany
Tony McLoughlin United Kingdom
André Gagalowicz France
David A. Lane United States
David C. Banks United States
David L. Kao relative to Florian Ferstl Germany Florian Ferstl's profile →
Citations per field
00.5×1.5×
Florian Ferstl · 1×
Citations per year

Countries citing papers authored by David L. Kao

Since Specialization
Citations

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

Fields of papers citing papers by David L. Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Kao. 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 David L. Kao. The network helps show where David L. Kao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199876
2 199758
3 200556
4 199743
5 200427
6 200521
7
Visualization and Data Analysis 2015
201514
8 200213
9 200213
10 201511
11 20137
12 20165
13 20044
14 20104
15 20163
16
Visualizing Distributions from Multi-Return Lidar Data to Understand Forest Structure
20043
17 20122
18 20152
19 20102
20 20092

About David L. Kao

David L. Kao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Ecology and Environmental Engineering, having authored 26 papers that have together received 370 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (8 papers), Data Visualization and Analytics (6 papers), 3D Shape Modeling and Analysis (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (213 citations), Computer Vision and Pattern Recognition (250 citations), Computational Mechanics (114 citations), Signal Processing (41 citations) and Computational Mathematics (2 citations). David L. Kao has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Han‐Wei Shen, Alex Pang, Jennifer Dungan, Thomas Wischgoll, Ming Hao, Mark Livingston, Marc G. Kramer, Chaoli Wang, Jim Thomas and Robert J. Nemiroff. Their work appears in journals such as Information Visualization, IEEE Computer Graphics and Applications, Data Science Journal, IEEE Transactions on Visualization and Computer Graphics and Journal of Flow Visualization and Image Processing.

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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