L.M. Vidigal
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Hardware and Architecture top 10%
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Stephen W. DirectorGary D. HachtelRobert K. BraytonSani NassifHorácio C. NetoKarem A. SakallahJacob WhiteL. Miguel Silveira
- Topics
- Low-power high-performance VLSI design (6 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Optimal Experimental Design Methods (4 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsIEEE Transactions on Circuits and SystemsDesign Automation Conference
- Partner nations
- United StatesPortugalPoland
In The Last Decade
L.M. Vidigal
9 papers receiving 266 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 131
- Computational Theory and Mathematics 60
- Control and Systems Engineering 48
- Hardware and Architecture 35
- Statistics, Probability and Uncertainty 32
Countries citing papers authored by L.M. Vidigal
This map shows the geographic impact of L.M. Vidigal'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 L.M. Vidigal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.M. Vidigal more than expected).
Fields of papers citing papers by L.M. Vidigal
This network shows the impact of papers produced by L.M. Vidigal. 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 L.M. Vidigal. The network helps show where L.M. Vidigal may publish in the future.
Co-authorship network of co-authors of L.M. Vidigal
This figure shows the co-authorship network connecting the top 25 collaborators of L.M. Vidigal. A scholar is included among the top collaborators of L.M. Vidigal 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 L.M. Vidigal. L.M. Vidigal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | A multirate algorithm for fast circuit simulation | 2 |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 35 | |
| 11 | 162 | |
| 12 | 32 |
About L.M. Vidigal
L.M. Vidigal is a scholar working on Hardware and Architecture, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Numerical Analysis (30 citations), Hardware and Architecture (35 citations) and Statistics, Probability and Uncertainty (32 citations). L.M. Vidigal has collaborated with scholars based in United States, Portugal and Poland. Frequent co-authors include Stephen W. Director, Gary D. Hachtel, Robert K. Brayton, Sani Nassif, Horácio C. Neto, Karem A. Sakallah, Jacob White and L. Miguel Silveira. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Circuits and Systems and Design Automation Conference.
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.