P.-M. Seidel
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
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- Numerical Methods and Algorithms
Papers in
-
- Low-power high-performance VLSI design 21
- VLSI and FPGA Design Techniques 2
- Advancements in Semiconductor Devices and Circuit Design 2
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- Numerical Methods and Algorithms 16
- Co-authors
- Guy Even (8 shared papers)David W. Matula (2 shared papers)Silvia Melitta Mueller (1 shared paper)Warren E. Ferguson (1 shared paper)Achintya K. Bhowmik (1 shared paper)James King (1 shared paper)Jeff Rupley (1 shared paper)K. Patton (1 shared paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
P.-M. Seidel
24 papers receiving 347 citations
Peers
Comparison fields: 5 of 18
- Hardware and Architecture 156
- Computational Theory and Mathematics 287
- Signal Processing 117
- Electrical and Electronic Engineering 299
- Biomedical Engineering 74
Countries citing papers authored by P.-M. Seidel
This map shows the geographic impact of P.-M. Seidel'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.-M. Seidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.-M. Seidel more than expected).
Fields of papers citing papers by P.-M. Seidel
This network shows the impact of papers produced by P.-M. Seidel. 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.-M. Seidel. The network helps show where P.-M. Seidel may publish in the future.
Co-authors
The 12 scholars most cited alongside P.-M. Seidel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 81 | |
| 2 | 2000 | 72 | |
| 3 | 2002 | 29 | |
| 4 | 2002 | 28 | |
| 5 | 2006 | 28 | |
| 6 | 2002 | 22 | |
| 7 | 2005 | 19 | |
| 8 | 2004 | 17 | |
| 9 | 2002 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2004 | 9 | |
| 12 | 2003 | 6 | |
| 13 | 2002 | 6 | |
| 14 | 2006 | 5 | |
| 15 | 2004 | 5 | |
| 16 | 2005 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2004 | 3 | |
| 19 | 2003 | 3 | |
| 20 | 2005 | 3 |
About P.-M. Seidel
P.-M. Seidel is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Signal Processing and Information Systems, having authored 25 papers that have together received 380 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (21 papers), Numerical Methods and Algorithms (16 papers), Parallel Computing and Optimization Techniques (7 papers), Digital Filter Design and Implementation (5 papers), VLSI and Analog Circuit Testing (5 papers), Cryptography and Residue Arithmetic (2 papers), VLSI and FPGA Design Techniques (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (156 citations), Computational Theory and Mathematics (287 citations), Signal Processing (117 citations), Electrical and Electronic Engineering (299 citations) and Biomedical Engineering (74 citations). P.-M. Seidel has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Guy Even, David W. Matula, Silvia Melitta Mueller, Warren E. Ferguson, Achintya K. Bhowmik, James King, Jeff Rupley, K. Patton, Mark Hillebrand and Nathaniel Ayewah. Their work appears in journals such as IEEE Transactions on Computers.
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.