Philippe Clauss
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Vincent LoechnerAlain KetterlinBenoît MeisterAlexandra JimboreanAravind Sukumaran-RajamDiego GarbervetskySven VerdoolaegeErven Rohou
- Topics
- Parallel Computing and Optimization Techniques (22 papers)Distributed and Parallel Computing Systems (10 papers)Advanced Data Storage Technologies (10 papers)
In The Last Decade
Philippe Clauss
29 papers receiving 339 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 287
- Computer Networks and Communications 231
- Artificial Intelligence 87
- Computational Theory and Mathematics 74
- Electrical and Electronic Engineering 42
Countries citing papers authored by Philippe Clauss
This map shows the geographic impact of Philippe Clauss'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 Philippe Clauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Clauss more than expected).
Fields of papers citing papers by Philippe Clauss
This network shows the impact of papers produced by Philippe Clauss. 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 Philippe Clauss. The network helps show where Philippe Clauss may publish in the future.
Co-authorship network of co-authors of Philippe Clauss
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Clauss. A scholar is included among the top collaborators of Philippe Clauss 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 Philippe Clauss. Philippe Clauss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Extending the Task Dataflow Model with Speculative Data Accesses | 1 |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization | 0 |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Transparent Parallelization of Binary Code | 2 |
| 11 | Handling Multi-Versioning in LLVM: Code Tracking and Cloning | 3 |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 11 | |
| 19 | 88 | |
| 20 | 54 |
About Philippe Clauss
Philippe Clauss is a scholar working on Hardware and Architecture, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 31 papers that have together received 374 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (10 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Hardware and Architecture (287 citations), Computer Networks and Communications (231 citations) and Computational Mathematics (4 citations). Philippe Clauss has collaborated with scholars based in France, Sweden and Belgium. Frequent co-authors include Vincent Loechner, Alain Ketterlin, Benoît Meister, Alexandra Jimborean, Aravind Sukumaran-Rajam, Diego Garbervetsky, Sven Verdoolaege, Erven Rohou, Bérenger Bramas and Rosa M. Badía. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Acta Informatica.
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.