Dan W. Patterson

1.2k citations
13 papers · 839 · 1 hit paper · h-index 10

Impact in

Papers in

Dan W. Patterson

13 papers receiving 736 citations

Dan W. Patterson's Hit Papers

Artificial Neural Networks: Theory and Applications 1998 · 514 citations
5140+9+18Years since publication100200300400500

Peers

Dan W. Patterson
Comparison fields: 5 of 146
  • Computer Graphics and Computer-Aided Design 59
  • Hardware and Architecture 61
  • Artificial Intelligence 210
  • Computer Vision and Pattern Recognition 114
  • Industrial and Manufacturing Engineering 39
Replace Mayank Agarwal with:
Mayank Agarwal India
Qi Sun China
Chen Yang China
Shuang Song United States
Andrew Grace United Kingdom
Bartolomeo Montrucchio Italy
Guanglu Sun China
Jie Gu China
Dan W. Patterson relative to Mayank Agarwal India Mayank Agarwal's profile →
Citations per field
00.5×3.5×
Mayank Agarwal · 1×
Citations per year

Countries citing papers authored by Dan W. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Dan W. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan W. Patterson. 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 Dan W. Patterson. The network helps show where Dan W. Patterson may publish in the future.

Co-authors

The 12 scholars most cited alongside Dan W. Patterson, 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 Dan W. Patterson Line = papers co-authored together Dan W. Patterson links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Artificial Neural Networks: Theory and Applications
Hit paper breakdown →
1998514
2
Introduction to Artificial Intelligence and Expert Systems
1990140
3 200172
4 196631
5 201517
6 201116
7 201112
8 200911
9 20109
10 19779
11 20104
12 20083
13 20091

About Dan W. Patterson

Dan W. Patterson is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Media Technology and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 839 indexed citations. Recurring topics across this work include Radiation Effects in Electronics (7 papers), VLSI and Analog Circuit Testing (6 papers), Semiconductor materials and devices (3 papers), Low-power high-performance VLSI design (2 papers), Remote-Sensing Image Classification (1 paper), Water Quality Monitoring and Analysis (1 paper), Oil and Gas Production Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Hardware and Architecture (61 citations), Artificial Intelligence (210 citations), Computer Vision and Pattern Recognition (114 citations) and Industrial and Manufacturing Engineering (39 citations). Dan W. Patterson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lawrence T. Clark, Keith E. Holbert, Richard J. Levy, Steven Berman, Pat Hanrahan, Matthew Eldridge, Gordon Stoll, Stephen P. Hunt, Robert Grant and Chandarasekaran Ramamurthy. Their work appears in journals such as IEEE Transactions on Nuclear Science, IEEE Transactions on Computers, Journal of Geophysical Research Atmospheres, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Offshore Technology Conference.

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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