D. Silver

2.4k citations
48 papers · 1.6k indexed · h-index 22

D. Silver

47 papers receiving 1.5k citations

Peers

D. Silver
Comparison fields: 5 of 124
  • Computer Graphics and Computer-Aided Design 597
  • Computer Vision and Pattern Recognition 996
  • Computational Mechanics 660
  • Signal Processing 130
  • Geology 59
Replace Deborah Silver with:
Deborah Silver United States
Penny Rheingans United States
Ronald Peikert Switzerland
Eduard Gröller Austria
Hans Hagen Germany
Timo Ropinski Germany
Lars Linsen Germany
Shigeo Takahashi Japan
Gregory M. Nielson United States
Eugene Zhang United States
D. Silver relative to Deborah Silver United States Deborah Silver's profile →
Citations per field
00.5×1.6×
Deborah Silver · 1×
Citations per year

Countries citing papers authored by D. Silver

Since Specialization
Citations

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

Fields of papers citing papers by D. Silver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Event Detection for Hydrothermal Plumes: A case study at Grotto Vent
20121
2 20121
3 20101
4
Using numerical models and volume rendering to interpret acoustic imaging of hydrothermal flow
20091
5 200687
6 200627
7 20059
8 2003376
9 200320
10 20023
11 200223
12 200240
13 199956
14 19988
15 19989
16 199835
17 199352
18 19925
19 19917
20 199136

About D. Silver

D. Silver is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Environmental Engineering and Instrumentation, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (26 papers), 3D Shape Modeling and Analysis (15 papers), Advanced Vision and Imaging (9 papers), Data Visualization and Analytics (9 papers), Wind and Air Flow Studies (4 papers), Computational Geometry and Mesh Generation (4 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (597 citations), Computer Vision and Pattern Recognition (996 citations), Computational Mechanics (660 citations), Signal Processing (130 citations) and Geology (59 citations). D. Silver has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Sven Dickinson, Nikhil Gagvani, Hari Sundar, Norman J. Zabusky, Xin Wang, N.D. Cornea, Marilyn Tremaine, Jiale Cao, Ravi Samtaney and P. Min. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Proceedings of the National Academy of Sciences, Marine Geophysical Research and Mathematics and Computers in Simulation.

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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