Walid Keyrouz
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Embedded Systems Design Techniques 5
- Parallel Computing and Optimization Techniques 5
-
- Distributed and Parallel Computing Systems 3
- Interconnection Networks and Systems 2
- Co-authors
- Mary Brady (6 shared papers)Joe Chalfoun (3 shared papers)Peter Bajcsy (3 shared papers)Michael Majurski (2 shared papers)Kiran Bhadriraju (1 shared paper)Michael Mascagni (3 shared papers)Anthony J. Kearsley (3 shared papers)Chen Qu (3 shared papers)
- Journals
- Journal of Research of the National Institute of Standards and Technology (1 paper)Biomedical Materials (1 paper)Journal of Molecular Graphics and Modelling (1 paper)The Journal of Physical Chemistry B (1 paper)Journal of Chromatography A (1 paper)
- Partner nations
- United StatesFinlandEgypt
In The Last Decade
Walid Keyrouz
17 papers receiving 269 citations
Peers
Comparison fields: 5 of 91
- Biophysics 39
- Structural Biology 7
- Hardware and Architecture 18
- Media Technology 21
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Walid Keyrouz
This map shows the geographic impact of Walid Keyrouz'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 Walid Keyrouz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Keyrouz more than expected).
Fields of papers citing papers by Walid Keyrouz
This network shows the impact of papers produced by Walid Keyrouz. 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 Walid Keyrouz. The network helps show where Walid Keyrouz may publish in the future.
Co-authors
The 25 scholars most cited alongside Walid Keyrouz, 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 | 2017 | 121 | |
| 2 | 2017 | 37 | |
| 3 | 2021 | 31 | |
| 4 | 2014 | 18 | |
| 5 | 2022 | 14 | |
| 6 | 2019 | 8 | |
| 7 | 2017 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2018 | 0 |
About Walid Keyrouz
Walid Keyrouz is a scholar working on Hardware and Architecture, Computer Networks and Communications, Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 274 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (5 papers), Parallel Computing and Optimization Techniques (5 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Cell Image Analysis Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Machine Learning in Materials Science (3 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Biophysics (39 citations), Structural Biology (7 citations), Hardware and Architecture (18 citations), Media Technology (21 citations) and Computer Vision and Pattern Recognition (42 citations). Walid Keyrouz has collaborated with scholars based in United States, Finland and Egypt. Frequent co-authors include Mary Brady, Joe Chalfoun, Peter Bajcsy, Michael Majurski, Kiran Bhadriraju, Michael Mascagni, Anthony J. Kearsley, Chen Qu, Thomas C. Allison and Barry I. Schneider. Their work appears in journals such as Journal of Research of the National Institute of Standards and Technology, Biomedical Materials, Journal of Molecular Graphics and Modelling, The Journal of Physical Chemistry B and Journal of Chromatography A.
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.