W. Lavrijsen

34.1k total citations
21 papers, 222 citations indexed

About

W. Lavrijsen is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, W. Lavrijsen has authored 21 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Hardware and Architecture and 9 papers in Artificial Intelligence. Recurrent topics in W. Lavrijsen's work include Parallel Computing and Optimization Techniques (9 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (7 papers). W. Lavrijsen is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (7 papers). W. Lavrijsen collaborates with scholars based in United States, Switzerland and France. W. Lavrijsen's co-authors include Costin Iancu, Wibe A. de Jong, Juliane Müller, Koushik Sen, Marc Davis, Jeffrey Larson, W. Kahan, James Demmel, Pere Mato and Ethan Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Physics Conference Series.

In The Last Decade

W. Lavrijsen

20 papers receiving 217 citations

Peers

W. Lavrijsen

CNC

CTM

NHEP

Peter LeFanu Lumsdaine United States

Peter Boyle United Kingdom

Alexander McCaskey United States

Pablo Peñil Spain

Philippe Canal United States

M. Stewart Siu United States

Hans Pabst Germany

Fabio Zanasi United Kingdom

S. Magill United States

E. Suchyta United States

Peter LeFanu Lumsdaine United States

W. Lavrijsen

264 ×2.5

40 ×0.6

22 ×0.4

CNC

115 ×2.0

CTM

4 ×0.1

NHEP

Citations per year, relative to W. Lavrijsen W. Lavrijsen (= 1×) peers Peter LeFanu Lumsdaine

Countries citing papers authored by W. Lavrijsen

Since Specialization

Citations

This map shows the geographic impact of W. Lavrijsen'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 W. Lavrijsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Lavrijsen more than expected).

Fields of papers citing papers by W. Lavrijsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Lavrijsen. 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 W. Lavrijsen. The network helps show where W. Lavrijsen may publish in the future.

Co-authorship network of co-authors of W. Lavrijsen

This figure shows the co-authorship network connecting the top 25 collaborators of W. Lavrijsen. A scholar is included among the top collaborators of W. Lavrijsen 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 W. Lavrijsen. W. Lavrijsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Müller, Juliane, W. Lavrijsen, Costin Iancu, & Wibe A. de Jong. (2022). Accelerating Noisy VQE Optimization with Gaussian Processes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 215–225. 6 indexed citations

Smith, Ethan, et al.. (2021). LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. arXiv (Cornell University). 23 indexed citations

Saito, M., P. Calafiura, H. M. Gray, et al.. (2020). Quantum annealing algorithms for track pattern recognition. SHILAP Revista de lepidopterología. 245. 10006–10006. 4 indexed citations

Lavrijsen, W., et al.. (2020). Classical Optimizers for Noisy Intermediate-Scale Quantum Devices. arXiv (Cornell University). 267–277. 58 indexed citations

Lavrijsen, W., Jeffrey Larson, Kevin J. Sung, et al.. (2019). SKQuant-Opt: Optimizers for Noisy Intermediate-Scale Quantum Devices. Bulletin of the American Physical Society. 2019. 1 indexed citations

Lavrijsen, W. & Costin Iancu. (2017). Application Level Reordering of Remote Direct Memory Access Operations. 93. 988–997. 2 indexed citations

Lavrijsen, W., et al.. (2016). High-Performance Python-C++ Bindings with PyPy and Cling. 27–35. 10 indexed citations

Lavrijsen, W., Costin Iancu, Wibe A. de Jong, Xin Chen, & Karsten Schwan. (2016). Exploiting variability for energy optimization of parallel programs. eScholarship (California Digital Library). 1–16. 5 indexed citations

Lavrijsen, W., et al.. (2016). High-performance Python-C++ bindings with PyPy and Cling. 27–35. 5 indexed citations

10.

Rubio-González, Cindy, Koushik Sen, James Demmel, et al.. (2016). Floating-point precision tuning using blame analysis. 1074–1085. 43 indexed citations

11.

Lavrijsen, W.. (2015). Python in the Cling World. Journal of Physics Conference Series. 664(6). 62029–62029. 3 indexed citations

12.

Chabbi, Milind, W. Lavrijsen, Wibe A. de Jong, et al.. (2015). Barrier elision for production parallel programs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 109–119. 5 indexed citations

13.

Calafiura, P., P. A. Delsart, M. Elsing, et al.. (2015). Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-2 analysis model. Journal of Physics Conference Series. 664(3). 32007–32007. 1 indexed citations

14.

Fleischmann, S., et al.. (2014). Experience with Intel's Many Integrated Core architecture in ATLAS software. Journal of Physics Conference Series. 513(5). 52018–52018. 1 indexed citations

15.

Lavrijsen, W.. (2012). Optimizing python-based ROOT I/O with PyPy's tracing just-in-time compiler. Journal of Physics Conference Series. 396(5). 52046–52046. 2 indexed citations

16.

Binet, S., P. Calafiura, M. K. Jha, et al.. (2012). Multicore in production: advantages and limits of the multiprocess approach in the ATLAS experiment. Journal of Physics Conference Series. 368. 12018–12018. 11 indexed citations

17.

Gemmeren, P. van, S. Binet, P. Calafiura, et al.. (2012). I/O Strategies for Multicore Processing in ATLAS. Journal of Physics Conference Series. 396(2). 22054–22054. 3 indexed citations

18.

Clemencic, M., H. Degaudenzi, Pere Mato, et al.. (2010). Recent developments in the LHCb software framework gaudi. Journal of Physics Conference Series. 219(4). 42006–42006. 15 indexed citations

19.

Generowicz, J., et al.. (2005). Reflection-Based Python-C++ Bindings. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations

20.

Calafiura, P., et al.. (2005). The Athena Control Framework in Production, New Developments and Lessons Learned. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations

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.

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