John Biddiscombe

620 total citations
21 papers, 316 citations indexed

About

John Biddiscombe is a scholar working on Computer Networks and Communications, Computational Mechanics and Hardware and Architecture. According to data from OpenAlex, John Biddiscombe has authored 21 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Computational Mechanics and 6 papers in Hardware and Architecture. Recurrent topics in John Biddiscombe's work include Advanced Data Storage Technologies (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Distributed and Parallel Computing Systems (6 papers). John Biddiscombe is often cited by papers focused on Advanced Data Storage Technologies (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Distributed and Parallel Computing Systems (6 papers). John Biddiscombe collaborates with scholars based in Switzerland, United States and Germany. John Biddiscombe's co-authors include Jérôme Soumagne, G. Oger, Michaela Soellinger, M. de Leffe, Deborah M. Grzybowski, Peter Boesiger, Dimos Poulikakos, David Le Touzé, Vartan Kurtcuoglu and Hartmut Kaiser and has published in prestigious journals such as Computer Physics Communications, Journal of The Royal Society Interface and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

John Biddiscombe

18 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Biddiscombe Switzerland 9 109 79 59 54 34 21 316
Jakub Šístek Czechia 11 220 2.0× 19 0.2× 25 0.4× 16 0.3× 2 0.1× 36 326
Ruth Arís Spain 4 101 0.9× 25 0.3× 27 0.5× 11 0.2× 2 0.1× 4 313
Florian Lindner Germany 6 194 1.8× 25 0.3× 16 0.3× 4 0.1× 2 0.1× 7 307
R. Grosso Germany 12 145 1.3× 13 0.2× 4 0.1× 14 0.3× 10 0.3× 39 372
Svein Linge Norway 11 31 0.3× 15 0.2× 160 3.0× 17 0.5× 23 374
Christopher J. Riley United States 12 240 2.2× 8 0.1× 9 0.2× 25 0.5× 3 0.1× 30 349
Stefano Pagani Italy 13 53 0.5× 5 0.1× 5 0.1× 5 0.1× 3 0.1× 23 337
Nicolas Le Goff Denmark 6 24 0.2× 14 0.2× 11 0.2× 14 342
Dewei Wang United States 11 6 0.1× 21 0.3× 51 0.9× 12 0.2× 23 296
C.A. Anderson United States 11 30 0.3× 18 0.2× 5 0.1× 4 0.1× 26 530

Countries citing papers authored by John Biddiscombe

Since Specialization
Citations

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

Fields of papers citing papers by John Biddiscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Biddiscombe

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

All Works

20 of 20 papers shown
2.
Simberg, Mikael, et al.. (2021). Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX. Civil War Book Review. 377–386. 8 indexed citations
3.
Kaiser, Hartmut, Patrick Diehl, John Biddiscombe, et al.. (2020). HPX - The C++ Standard Library for Parallelism and Concurrency. The Journal of Open Source Software. 5(53). 2352–2352. 55 indexed citations
4.
Biddiscombe, John, Benjamin P. Cumming, Felix Huber, et al.. (2019). arbor-sim/arbor: Arbor Library v0.2. Figshare.
5.
Heller, Thomas, Kevin Huck, John Biddiscombe, et al.. (2019). Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. The International Journal of High Performance Computing Applications. 33(4). 699–715. 9 indexed citations
6.
Biddiscombe, John. (2016). High-Performance Mesh Partitioning and Ghost Cell Generation for Visualization Software. Eurographics. 45–54. 1 indexed citations
7.
Eilemann, Stefan, Fabien Delalondre, Judit Planas, et al.. (2016). Key/Value-Enabled Flash Memory for Complex Scientific Workflows with On-Line Analysis and Visualization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 608–617. 9 indexed citations
8.
Oger, G., et al.. (2015). On distributed memory MPI-based parallelization of SPH codes in massive HPC context. Computer Physics Communications. 200. 1–14. 80 indexed citations
9.
Biddiscombe, John, et al.. (2012). Parallel Computational Steering for HPC Applications Using HDF5 Files in Distributed Shared Memory. IEEE Transactions on Visualization and Computer Graphics. 18(6). 852–864. 14 indexed citations
10.
Soumagne, Jérôme & John Biddiscombe. (2011). Computational Steering and Parallel Online Monitoring Using RMA through the HDF5 DSM Virtual File Driver. Procedia Computer Science. 4. 479–488. 3 indexed citations
11.
Soellinger, Michaela, Deborah M. Grzybowski, Peter Boesiger, et al.. (2010). Cerebrospinal fluid dynamics in the human cranial subarachnoid space: an overlooked mediator of cerebral disease. I. Computational model. Journal of The Royal Society Interface. 7(49). 1195–1204. 78 indexed citations
12.
Fuchs, Raphael, et al.. (2009). Predictor-Corrector Schemes for Visualization ofSmoothed Particle Hydrodynamics Data. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1243–1250. 8 indexed citations
13.
Biddiscombe, John, et al.. (2008). Visualization and analysis of SPH data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 76. 9–12. 11 indexed citations
14.
Biddiscombe, John, Berk Geveci, Ken Martin, Kenneth Moreland, & David Thompson. (2007). Time Dependent Processing in a Parallel Pipeline Architecture. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1376–1383. 23 indexed citations
15.
Sawley, Mark L., John Biddiscombe, & Jean M. Favre. (2007). Advanced visualization of large datasets for Discrete Element Method simulations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
16.
Biddiscombe, John, et al.. (2007). Interactive Visualization and Exploration of SPH Data. 3 indexed citations
17.
Biddiscombe, John, Berk Geveci, Ken Martin, Kenneth Moreland, & David Thompson. (2007). Corrections to "Time Dependent Processing in a Parallel Pipeline Architecture". IEEE Transactions on Visualization and Computer Graphics. 14(1). 241–241. 2 indexed citations
18.
Biddiscombe, John. (1999). Modelling line of sight availability for high frequency urban radio networks. 105–110. 3 indexed citations
20.
Wrench, C. L., et al.. (1993). Using transponders with the ERS-1 and TOPEX altimeters to measure orbit altitude to ± 3 cm. Advances in Space Research. 13(5). 61–67. 5 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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