P.A. Ruetz

430 citations
22 papers · 311 · h-index 9

Impact in

Papers in

P.A. Ruetz

21 papers receiving 277 citations

Peers

P.A. Ruetz
Comparison fields: 5 of 41
  • Signal Processing 155
  • Hardware and Architecture 59
  • Computer Vision and Pattern Recognition 161
  • Computational Theory and Mathematics 33
  • Electrical and Electronic Engineering 99
Replace N. Demassieux with:
N. Demassieux France
O.T.-C. Chen Taiwan
I. Kuroda Japan
Chu Yu Taiwan
Cláudio Diniz Brazil
Chiraag Juvekar United States
P. Senn France
Mateus Grellert Brazil
Paolo Zicari Italy
Juan López Spain
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Citations per field
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Citations per year

Countries citing papers authored by P.A. Ruetz

Since Specialization
Citations

This map shows the geographic impact of P.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 P.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 P.A. Ruetz more than expected).

Fields of papers citing papers by P.A. Ruetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside P.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 P.A. Ruetz Line = papers co-authored together P.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 199157
2 198751
3 199251
4 198942
5 198621
6 199318
7 198617
8 199214
9 19919
10 20026
11 20054
12 19924
13 19883
14 19923
15 20032
16 19942
17
Architectures and design techniques for real-time image processing ics (recognition)
19862
18 20022
19
Machine vision in the '90s: a technology view
19911
20 20031

About P.A. Ruetz

P.A. Ruetz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Biomedical Engineering and Media Technology, having authored 22 papers that have together received 311 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (10 papers), Advanced Data Compression Techniques (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), CCD and CMOS Imaging Sensors (5 papers), Video Coding and Compression Technologies (4 papers), Image Processing Techniques and Applications (4 papers), Embedded Systems Design Techniques (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Signal Processing (155 citations), Hardware and Architecture (59 citations), Computer Vision and Pattern Recognition (161 citations), Computational Theory and Mathematics (33 citations) and Electrical and Electronic Engineering (99 citations). P.A. Ruetz has collaborated with scholars based in United States and Japan. Frequent co-authors include R.W. Brodersen, Peng Hwa Ang, Po Tong, D. Bailey, Jack Sklansky, Ramesh Jain, John Wilder, Dragutin Petković and Masakazu Ejiri. Their work appears in journals such as Machine Vision and Applications, IEEE Journal of Solid-State Circuits, IEEE Transactions on Communications, IEEE Micro and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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