Jérôme Soumagne

505 total citations
20 papers, 321 citations indexed

About

Jérôme Soumagne is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Jérôme Soumagne has authored 20 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Hardware and Architecture. Recurrent topics in Jérôme Soumagne's work include Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (12 papers) and Parallel Computing and Optimization Techniques (6 papers). Jérôme Soumagne is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (12 papers) and Parallel Computing and Optimization Techniques (6 papers). Jérôme Soumagne collaborates with scholars based in United States, Switzerland and France. Jérôme Soumagne's co-authors include John Biddiscombe, Quincey Koziol, Robert Ross, G. Oger, M. de Leffe, David Le Touzé, Ahmad Afsahi, Dries Kimpe, Houjun Tang and Richard Warren and has published in prestigious journals such as Computer Physics Communications, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Jérôme Soumagne

18 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Soumagne United States 9 200 83 77 64 51 20 321
Qingyu Meng United States 10 150 0.8× 155 1.9× 68 0.9× 21 0.3× 8 0.2× 17 270
Alexander Breuer Germany 6 60 0.3× 68 0.8× 43 0.6× 16 0.3× 6 0.1× 20 221
Michel Rasquin United States 7 103 0.5× 30 0.4× 140 1.8× 16 0.3× 53 1.0× 21 304
Satish Balay United States 7 46 0.2× 43 0.5× 42 0.5× 7 0.1× 13 0.3× 12 184
S.P. Johnson United Kingdom 10 117 0.6× 122 1.5× 103 1.3× 8 0.1× 3 0.1× 25 268
Charles Bacon United States 5 220 1.1× 112 1.3× 6 0.1× 64 1.0× 40 0.8× 10 322
R. M. Loy United States 5 83 0.4× 77 0.9× 143 1.9× 10 0.2× 13 0.3× 7 249
Yun Tian China 9 104 0.5× 10 0.1× 123 1.6× 80 1.3× 21 312
F. R. Bailey United States 10 33 0.2× 32 0.4× 145 1.9× 9 0.1× 5 0.1× 20 253
Łukasz Szustak Poland 9 118 0.6× 109 1.3× 24 0.3× 42 0.7× 22 199

Countries citing papers authored by Jérôme Soumagne

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Soumagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Soumagne

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Soumagne. A scholar is included among the top collaborators of Jérôme Soumagne 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 Jérôme Soumagne. Jérôme Soumagne 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
1.
Dorier, Matthieu, Philip Carns, Robert Ross, et al.. (2024). Extending the Mochi Methodology to Enable Dynamic HPC Data Services. 414–422.
2.
Carns, Philip, et al.. (2023). Mochi: A Case Study in Translational Computer Science for High-Performance Computing Data Management. Computing in Science & Engineering. 25(4). 35–41.
3.
Srinivasan, Ramesh, Allen D. Malony, Philip Carns, et al.. (2021). SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5. 35–45. 3 indexed citations
4.
Soumagne, Jérôme, et al.. (2021). Accelerating HDF5 I/O for Exascale Using DAOS. IEEE Transactions on Parallel and Distributed Systems. 33(4). 903–914. 11 indexed citations
5.
Soumagne, Jérôme, Philip Carns, & Robert Ross. (2020). Advancing RPC for Data Services at Exascale.. IEEE Data(base) Engineering Bulletin. 43. 23–34. 3 indexed citations
6.
Ross, Robert, George Amvrosiadis, Philip Carns, et al.. (2020). Mochi: Composing Data Services for High-Performance Computing Environments. Journal of Computer Science and Technology. 35(1). 121–144. 57 indexed citations
7.
Soumagne, Jérôme, et al.. (2020). Interfacing HDF5 with a scalable object‐centric storage system on hierarchical storage. Concurrency and Computation Practice and Experience. 32(20). 3 indexed citations
8.
Byna, Suren, Michael Breitenfeld, Bin Dong, et al.. (2020). ExaHDF5: Delivering Efficient Parallel I/O on Exascale Computing Systems. Journal of Computer Science and Technology. 35(1). 145–160. 29 indexed citations
9.
Warren, Richard, Jérôme Soumagne, Houjun Tang, et al.. (2019). Analysis in the Data Path of an Object-Centric Data Management System. 73–82. 1 indexed citations
10.
Dorier, Matthieu, Galen Shipman, Jérôme Soumagne, et al.. (2018). Methodology for the Rapid Development of Scalable HPC Data Services. 76–87. 10 indexed citations
11.
Byna, Suren, Quincey Koziol, Jérôme Soumagne, et al.. (2018). Proactive Data Containers (PDC): An Object-centric Data Store for Large-scale Computing Systems. 2018. 3 indexed citations
12.
Tang, Houjun, Suren Byna, Teng Wang, et al.. (2018). Toward Scalable and Asynchronous Object-Centric Data Management for HPC. eScholarship (California Digital Library). 113–122. 26 indexed citations
13.
Soumagne, Jérôme, et al.. (2018). A Transparent Server-Managed Object Storage System for HPC. 477–481. 6 indexed citations
14.
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
15.
Soumagne, Jérôme, et al.. (2013). Mercury: Enabling remote procedure call for high-performance computing. 1–8. 59 indexed citations
16.
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
17.
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
18.
Soumagne, Jérôme, et al.. (2010). In-situ Visualization and Analysis of SPH Data using a ParaView Plugin and a Distributed Shared Memory Interface. HAL (Le Centre pour la Communication Scientifique Directe). 186–193. 1 indexed citations
19.
Soumagne, Jérôme, et al.. (2008). A GEO Satellite System for Broadcast Audio and Multimedia Services Targeting Mobile Users in Europe. 128–133. 3 indexed citations
20.
Chan, Ka Wing, et al.. (2005). Advancements on the integration of electromagnetic transients simulator and transient stability simulator. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 9 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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