Marius Evers
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 16
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- Advanced Data Storage Technologies 15
- Distributed and Parallel Computing Systems 4
- Co-authors
- Yale N. Patt (15 shared papers)Po-Yung Chang (6 shared papers)Sanjay Jeram Patel (4 shared papers)Jared Stark (4 shared papers)Robert S. Chappell (3 shared papers)S.J. Patel (1 shared paper)Eric Hao (2 shared papers)Tse-Yu Yeh (1 shared paper)
- Journals
- Computer (1 paper)ACM SIGPLAN Notices (1 paper)Proceedings of the IEEE (1 paper)International Journal of Parallel Programming (2 papers)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Marius Evers
17 papers receiving 527 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 521
- Computer Networks and Communications 401
- Electrical and Electronic Engineering 218
- Artificial Intelligence 103
- Software 11
Countries citing papers authored by Marius Evers
This map shows the geographic impact of Marius Evers'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 Marius Evers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Evers more than expected).
Fields of papers citing papers by Marius Evers
This network shows the impact of papers produced by Marius Evers. 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 Marius Evers. The network helps show where Marius Evers may publish in the future.
Co-authors
The 8 scholars most cited alongside Marius Evers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 111 | |
| 2 | 1997 | 91 | |
| 3 | 1998 | 73 | |
| 4 | 1998 | 49 | |
| 5 | 1998 | 46 | |
| 6 | 2002 | 43 | |
| 7 | 1996 | 35 | |
| 8 | 2002 | 29 | |
| 9 | 1997 | 22 | |
| 10 | 1996 | 19 | |
| 11 | 2001 | 17 | |
| 12 | 1998 | 15 | |
| 13 | 1998 | 9 | |
| 14 | 1998 | 7 | |
| 15 | 1998 | 4 | |
| 16 | 2007 | 2 | |
| 17 | 1998 | 1 |
About Marius Evers
Marius Evers is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 17 papers that have together received 573 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Advanced Data Storage Technologies (15 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Distributed and Parallel Computing Systems (4 papers), Low-power high-performance VLSI design (2 papers), 3D IC and TSV technologies (1 paper), VLSI and FPGA Design Techniques (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (521 citations), Computer Networks and Communications (401 citations), Electrical and Electronic Engineering (218 citations), Artificial Intelligence (103 citations) and Software (11 citations). Marius Evers has collaborated with scholars based in United States and Canada. Frequent co-authors include Yale N. Patt, Po-Yung Chang, Sanjay Jeram Patel, Jared Stark, Robert S. Chappell, S.J. Patel, Eric Hao and Tse-Yu Yeh. Their work appears in journals such as Computer, ACM SIGPLAN Notices, Proceedings of the IEEE, International Journal of Parallel Programming and ACM SIGOPS Operating Systems Review.
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.