Barbara J. Meier

896 citations
10 papers · 662 indexed · h-index 7

Impact in

Papers in

Barbara J. Meier

10 papers receiving 594 citations

Peers

Barbara J. Meier
Comparison fields: 5 of 54
  • Computer Graphics and Computer-Aided Design 494
  • Computer Vision and Pattern Recognition 482
  • Computational Mechanics 345
  • Human-Computer Interaction 46
  • Geology 31
Replace Peter C. Litwinowicz with:
Peter C. Litwinowicz United States
Masayuki Nakajima Japan
Kyle Olszewski United States
Daniel N. Wood United States
Lingyu Wei United States
Oleg Alexander United States
Ralf Sarlette Germany
Henry Kang United States
Cassidy Curtis United States
Barbara J. Meier relative to Peter C. Litwinowicz United States Peter C. Litwinowicz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara J. Meier

Since Specialization
Citations

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

Fields of papers citing papers by Barbara J. Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara J. Meier. 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 Barbara J. Meier. The network helps show where Barbara J. Meier may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Barbara J. Meier, 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 Barbara J. Meier Line = papers co-authored together Barbara J. Meier links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown

About Barbara J. Meier

Barbara J. Meier is a scholar working on Computer Graphics and Computer-Aided Design, Museology, Human-Computer Interaction, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 662 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (3 papers), Spatial Cognition and Navigation (3 papers), Museums and Cultural Heritage (2 papers), Virtual Reality Applications and Impacts (2 papers), Aesthetic Perception and Analysis (1 paper) and Categorization, perception, and language (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (494 citations), Computer Vision and Pattern Recognition (482 citations), Computational Mechanics (345 citations), Human-Computer Interaction (46 citations) and Geology (31 citations). Barbara J. Meier has collaborated with scholars based in United States. Frequent co-authors include John F. Hughes, Michael A. Kowalski, Lee Markosian, Joseph C. Lee, Philip Davidson, Adam Finkelstein, Matthew Webb, Rosemary Michelle Simpson and Timothy S. Miller. Their work appears in journals such as IEEE Computer Graphics and Applications, ACM Transactions on Graphics, Leonardo and ACM SIGGRAPH Computer Graphics.

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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