Thaddeus J. Kowalski
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Topics
- VLSI and FPGA Design Techniques (10 papers)Embedded Systems Design Techniques (9 papers)Evolutionary Algorithms and Applications (5 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsIEEE Design & Test of ComputersCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- United States
In The Last Decade
Thaddeus J. Kowalski
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 241
- Electrical and Electronic Engineering 177
- Computer Networks and Communications 80
- Artificial Intelligence 59
- Industrial and Manufacturing Engineering 42
Countries citing papers authored by Thaddeus J. Kowalski
This map shows the geographic impact of Thaddeus J. Kowalski'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 Thaddeus J. Kowalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thaddeus J. Kowalski more than expected).
Fields of papers citing papers by Thaddeus J. Kowalski
This network shows the impact of papers produced by Thaddeus J. Kowalski. 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 Thaddeus J. Kowalski. The network helps show where Thaddeus J. Kowalski may publish in the future.
Co-authorship network of co-authors of Thaddeus J. Kowalski
This figure shows the co-authorship network connecting the top 25 collaborators of Thaddeus J. Kowalski. A scholar is included among the top collaborators of Thaddeus J. Kowalski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thaddeus J. Kowalski. Thaddeus J. Kowalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 95 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | The VLSI design automation assistant : a knowledge-based expert system | 24 |
| 8 | 35 | |
| 9 | 19 | |
| 10 | An artificial intelligence approach to VLSI design | 44 |
| 11 | 18 | |
| 12 | 47 | |
| 13 | 31 | |
| 14 | VLSI design automation assistant: first steps | 4 |
| 15 | VLSI design automation assistant: learning to walk | 4 |
About Thaddeus J. Kowalski
Thaddeus J. Kowalski is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Software, having authored 15 papers that have together received 332 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (10 papers), Embedded Systems Design Techniques (9 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (241 citations), Software (26 citations) and Industrial and Manufacturing Engineering (42 citations). Thaddeus J. Kowalski has collaborated with scholars based in United States. Frequent co-authors include Donald E. Thomas, M.C. McFarland, W.H. Wolf, Dan Geiger, Wolf Fïchtner and Leon S. Levy. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Design & Test of Computers and CERN Document Server (European Organization for Nuclear Research).
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.