Paul Molitor

52 papers receiving 412 citations

Peers

Paul Molitor
Comparison fields: 5 of 62
  • Hardware and Architecture 191
  • Software 51
  • Computational Theory and Mathematics 213
  • Industrial and Manufacturing Engineering 41
  • Signal Processing 44
Replace Mary Sheeran with:
Mary Sheeran Sweden
L. Ciminiera Italy
Alexander Taubin United States
Shinobu Nagayama Japan
Ephraim Korach Israel
V. Nageshwara Rao United States
Wah United States
Reinhard von Hanxleden Germany
Abhishek Udupa India
Andreas Rossberg Germany
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Citations per year

Countries citing papers authored by Paul Molitor

Since Specialization
Citations

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

Fields of papers citing papers by Paul Molitor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Molitor. 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 Paul Molitor. The network helps show where Paul Molitor may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul Molitor, 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 Paul Molitor Line = papers co-authored together Paul Molitor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199952
2 199535
3 200130
4 201323
5 198720
6 200718
7 200217
8 200616
9 200315
10 200114
11 202313
12 200012
13 199511
14 200211
15 200211
16 200310
17 200210
18
A survey on wiring
19919
19
Wavelet based image compression using FPGAs
20029
20 19859

About Paul Molitor

Paul Molitor is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 449 indexed citations. Recurring topics across this work include Formal Methods in Verification (21 papers), VLSI and Analog Circuit Testing (17 papers), Low-power high-performance VLSI design (11 papers), VLSI and FPGA Design Techniques (8 papers), Radiation Effects in Electronics (7 papers), Natural Language Processing Techniques (5 papers), Physics and Engineering Research Articles (5 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (191 citations), Software (51 citations), Computational Theory and Mathematics (213 citations), Industrial and Manufacturing Engineering (41 citations) and Signal Processing (44 citations). Paul Molitor has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include J. Ritter, Sharad Malik, Rolf Drechsler, Christoph Scholl, Bernd Becker, Gerold Jäger, Jens Keilwagen, Ivo Große, Frank Fischer and Martin Keim. Their work appears in journals such as Digital Scholarship in the Humanities, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Formal Methods in System Design, Discrete Applied Mathematics and Journal of Heuristics.

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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