Felipe Bertrand
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Scientific Computing and Data Management
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 4
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Randall Bramley (5 shared papers)Alan Sussman (2 shared papers)J. Walter Larson (2 shared papers)Kostadin Damevski (2 shared papers)David E. Bernholdt (2 shared papers)J.A. Kohl (1 shared paper)Sriram Krishnan (1 shared paper)Yogesh Simmhan (1 shared paper)
- Journals
- Journal of Parallel and Distributed Computing (1 paper)The International Journal of High Performance Computing Applications (1 paper)Cluster Computing (1 paper)IFAC Proceedings Volumes (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Felipe Bertrand
7 papers receiving 115 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 58
- Information Systems and Management 47
- Computer Networks and Communications 112
- Information Systems 33
- Management Science and Operations Research 5
Countries citing papers authored by Felipe Bertrand
This map shows the geographic impact of Felipe Bertrand'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 Felipe Bertrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Bertrand more than expected).
Fields of papers citing papers by Felipe Bertrand
This network shows the impact of papers produced by Felipe Bertrand. 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 Felipe Bertrand. The network helps show where Felipe Bertrand may publish in the future.
Co-authors
The 20 scholars most cited alongside Felipe Bertrand, 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 | 2002 | 53 | |
| 2 | 2005 | 26 | |
| 3 | 2004 | 21 | |
| 4 | 2006 | 12 | |
| 5 | 2023 | 6 | |
| 6 | 2005 | 6 | |
| 7 | 1998 | 2 |
About Felipe Bertrand
Felipe Bertrand is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Control and Systems Engineering and Information Systems and Management, having authored 7 papers that have together received 126 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (4 papers), Robotics and Automated Systems (1 paper), Scientific Computing and Data Management (1 paper), Modular Robots and Swarm Intelligence (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Hardware and Architecture (58 citations), Information Systems and Management (47 citations), Computer Networks and Communications (112 citations), Information Systems (33 citations) and Management Science and Operations Research (5 citations). Felipe Bertrand has collaborated with scholars based in United States and Spain. Frequent co-authors include Randall Bramley, Alan Sussman, J. Walter Larson, Kostadin Damevski, David E. Bernholdt, J.A. Kohl, Sriram Krishnan, Yogesh Simmhan, Dennis Gannon and Rachana Ananthakrishnan. Their work appears in journals such as Journal of Parallel and Distributed Computing, The International Journal of High Performance Computing Applications, Cluster Computing and IFAC Proceedings Volumes.
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.