Matthew T. Dickerson

1.8k citations
82 papers · 1.1k indexed · h-index 19
Topics
Computational Geometry and Mesh Generation (29 papers)Pancreatic function and diabetes (20 papers)Data Management and Algorithms (12 papers)

In The Last Decade

Matthew T. Dickerson

76 papers receiving 1.0k citations

Peers

Matthew T. Dickerson
Comparison fields: 5 of 143
  • Molecular Biology 284
  • Surgery 263
  • Computer Graphics and Computer-Aided Design 241
  • Computer Vision and Pattern Recognition 135
  • Genetics 133
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Jingzhong Zhang China
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Citations per field
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Countries citing papers authored by Matthew T. Dickerson

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Dickerson'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 Matthew T. Dickerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Dickerson more than expected).

Fields of papers citing papers by Matthew T. Dickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Dickerson. 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 Matthew T. Dickerson. The network helps show where Matthew T. Dickerson may publish in the future.

Co-authorship network of co-authors of Matthew T. Dickerson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Dickerson. A scholar is included among the top collaborators of Matthew T. Dickerson 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 Matthew T. Dickerson. Matthew T. Dickerson 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
#WorkIndexed citations
1 1
2 17
3 30
4
Agent-based modeling and NetLogo in the introductory computer science curriculum: tutorial presentation
2
5
Multi-agent simulation, netlogo, and the recruitment of computer science majors
3
6
NetLogo and multi-agent simulation (in introductory computer science)
1
7
Multi-agent simulation and netLogo in the introductory computer science curriculum
9
8
Hemocompatibility enhancement through the integration of the antigenic disguise protein Tp0483 on a material surface
0
9 0
10
Using memory dumps in digital forensics
9
11 4
12 15
13
The Translation-Scale-Rotation Diagram for Point-Containing Placements of a Convex Polygon.
1
14
Using simulation across the curriculum
1
15 11
16 14
17 1
18 30
19
Translating a convex polygon to contain maximum number of points.
4
20
The functional decomposition of polynomials
19

About Matthew T. Dickerson

Matthew T. Dickerson is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (29 papers), Pancreatic function and diabetes (20 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (241 citations), Signal Processing (106 citations) and Computer Vision and Pattern Recognition (135 citations). Matthew T. Dickerson has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David A. Jacobson, Prasanna K. Dadi, Brock S. Howerton, David Eppstein, Edith C. Glazer, Gill Barequet, Robert L. Scot Drysdale, Nicholas C. Vierra, Yang Sun and Michael T. Goodrich. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Blood.

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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