Peter A. Ruetz

431 citations
22 papers · 330 · h-index 9

Impact in

    • Digital Filter Design and Implementation
    • Video Coding and Compression Technologies
    • Embedded Systems Design Techniques
    • Parallel Computing and Optimization Techniques

Papers in

Peter A. Ruetz

20 papers receiving 277 citations

Peers

Peter A. Ruetz
Comparison fields: 5 of 29
  • Signal Processing 139
  • Hardware and Architecture 71
  • Computer Vision and Pattern Recognition 88
  • Electrical and Electronic Engineering 87
  • Industrial and Manufacturing Engineering 12
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Countries citing papers authored by Peter A. Ruetz

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Ruetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Ruetz. 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 Peter A. Ruetz. The network helps show where Peter A. Ruetz may publish in the future.

Co-authors

The 8 scholars most cited alongside Peter A. Ruetz, 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 Peter A. Ruetz Line = papers co-authored together Peter A. Ruetz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199260
2 199158
3 198756
4 198941
5 198623
6 198619
7 199317
8 199216
9 199110
10 20025
11 19884
12 19924
13 20054
14 19923
15
Architectures and design techniques for real-time image processing ics (recognition)
19862
16 19942
17 20022
18 20032
19 19901
20
Machine vision in the '90s: a technology view
19911

About Peter A. Ruetz

Peter A. Ruetz is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (10 papers), Analog and Mixed-Signal Circuit Design (6 papers), Embedded Systems and FPGA Applications (5 papers), Advanced Neural Network Applications (5 papers), Video Coding and Compression Technologies (4 papers), Digital Image Processing Techniques (3 papers), Industrial Vision Systems and Defect Detection (2 papers) and VLSI and FPGA Design Techniques (2 papers). The work is most often cited by research in Signal Processing (139 citations), Hardware and Architecture (71 citations), Computer Vision and Pattern Recognition (88 citations), Electrical and Electronic Engineering (87 citations) and Industrial and Manufacturing Engineering (12 citations). Peter A. Ruetz has collaborated with scholars based in United States and Japan. Frequent co-authors include R.W. Brodersen, Po Tong, Jack Sklansky, John Wilder, Robert M. Haralick, Dragutin Petković, Masakazu Ejiri and Ramesh Jain. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Machine Vision and Applications, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Micro and IEEE Transactions on Circuits and Systems for Video Technology.

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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