Stefan Mach
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Luca BeniniDavide RossiGiuseppe TagliaviniFabian SchuikiFlorian ZarubaAndrea MarongiuFrancesco ContiManuel Eggimann
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Low-power high-performance VLSI design (7 papers)Numerical Methods and Algorithms (5 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Parallel and Distributed SystemsIEEE Transactions on Emerging Topics in Computing
- Partner nations
- SwitzerlandItaly
In The Last Decade
Stefan Mach
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 218
- Hardware and Architecture 160
- Computational Theory and Mathematics 99
- Computer Vision and Pattern Recognition 56
- Computer Networks and Communications 56
Countries citing papers authored by Stefan Mach
This map shows the geographic impact of Stefan Mach'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 Stefan Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Mach more than expected).
Fields of papers citing papers by Stefan Mach
This network shows the impact of papers produced by Stefan Mach. 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 Stefan Mach. The network helps show where Stefan Mach may publish in the future.
Co-authorship network of co-authors of Stefan Mach
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Mach. A scholar is included among the top collaborators of Stefan Mach 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 Stefan Mach. Stefan Mach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 73 | |
| 4 | 65 | |
| 5 | 37 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 71 | |
| 14 | 23 |
About Stefan Mach
Stefan Mach is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 14 papers that have together received 359 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Low-power high-performance VLSI design (7 papers) and Numerical Methods and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (160 citations), Computational Mathematics (4 citations) and Computational Theory and Mathematics (99 citations). Stefan Mach has collaborated with scholars based in Switzerland and Italy. Frequent co-authors include Luca Benini, Davide Rossi, Giuseppe Tagliavini, Fabian Schuiki, Florian Zaruba, Andrea Marongiu, Francesco Conti, Manuel Eggimann, Alfio Di Mauro and Antonio Pullini. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Emerging Topics in Computing.
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.