David Chelberg

784 citations
67 papers · 516 · h-index 12

Impact in

Papers in

David Chelberg

64 papers receiving 477 citations

Peers

David Chelberg
Comparison fields: 5 of 73
  • Computer Graphics and Computer-Aided Design 56
  • Computer Vision and Pattern Recognition 313
  • Media Technology 60
  • Human-Computer Interaction 30
  • Geology 24
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M. Pauline Baker United States
Donald Hearn United States
Abdolah Chalechale Iran
Eunbyung Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by David Chelberg

Since Specialization
Citations

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

Fields of papers citing papers by David Chelberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989109
2 199645
3 198838
4 199529
5 199822
6 200521
7
Qualitatne landmark-based path planning and following
198719
8 201417
9 200817
10 199416
11 199614
12 199513
13 200511
14 200411
15 199310
16 199910
17 20027
18 20086
19 19946
20 20135

About David Chelberg

David Chelberg is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Aerospace Engineering, having authored 67 papers that have together received 516 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Computer Graphics and Visualization Techniques (9 papers), Educational Games and Gamification (8 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Vision and Imaging (8 papers), Image Retrieval and Classification Techniques (8 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (313 citations), Media Technology (60 citations), Human-Computer Interaction (30 citations) and Geology (24 citations). David Chelberg has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jean Ponce, Peter Henstock, Zygmunt Pizlo, Jason C. Hsu, Charles F. Babbs, Edward J. Delp, Limin Ma, Mehmet Çelenk, Juneho Yi and Teresa Franklin. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Parallel Computing and Multimedia Tools and Applications.

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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