Daniel R. Schikore

1.0k total citations
22 papers, 774 citations indexed

About

Daniel R. Schikore is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Daniel R. Schikore has authored 22 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Graphics and Computer-Aided Design, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Daniel R. Schikore's work include Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (5 papers) and Computational Geometry and Mesh Generation (4 papers). Daniel R. Schikore is often cited by papers focused on Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (5 papers) and Computational Geometry and Mesh Generation (4 papers). Daniel R. Schikore collaborates with scholars based in United States. Daniel R. Schikore's co-authors include Chandrajit Bajaj, Valerio Pascucci, Fausto Bernardini, Jindong Chen, Mark A. Duchaineau, Bernd Hamann, Vinod Anupam, Ken Joy, Brad Whitlock and Regine Frank and has published in prestigious journals such as Computer, IEEE Transactions on Visualization and Computer Graphics and IEEE Computer Graphics and Applications.

In The Last Decade

Daniel R. Schikore

21 papers receiving 692 citations

Peers

Daniel R. Schikore
Comparison fields: 5 of 92
  • Computer Graphics and Computer-Aided Design 480
  • Computer Vision and Pattern Recognition 409
  • Computational Mechanics 308
  • Computational Theory and Mathematics 97
  • Signal Processing 56
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Georges‐Pierre Bonneau France
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Eric Shaffer United States
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Citations per field, relative to Daniel R. Schikore
Daniel R. Schikore · 1×
Citations per year, relative to Daniel R. Schikore
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Countries citing papers authored by Daniel R. Schikore

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Schikore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Schikore. 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 Daniel R. Schikore. The network helps show where Daniel R. Schikore may publish in the future.

Co-authorship network of co-authors of Daniel R. Schikore

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2
High-resolution multi-projector display walls and applications
4
3 18
4 14
5 37
6
Seed Sets and Search Structures for Optimal Isocontour Extraction
6
7 92
8 69
9 27
10 47
11
Seed Sets and Search Structures for Accelerated Isocontouring
1
12 184
13 18
14 101
15 52
16
Decimation of 2D Scalar Data with Error Control
9
17 38
18 7
19
Distributed and Collaborative Volume Visualization
2
20 1

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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