Jean Luca Bez

458 total citations
41 papers, 240 citations indexed

About

Jean Luca Bez is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jean Luca Bez has authored 41 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 11 papers in Information Systems. Recurrent topics in Jean Luca Bez's work include Advanced Data Storage Technologies (24 papers), Parallel Computing and Optimization Techniques (14 papers) and Distributed and Parallel Computing Systems (13 papers). Jean Luca Bez is often cited by papers focused on Advanced Data Storage Technologies (24 papers), Parallel Computing and Optimization Techniques (14 papers) and Distributed and Parallel Computing Systems (13 papers). Jean Luca Bez collaborates with scholars based in Brazil, United States and France. Jean Luca Bez's co-authors include Suren Byna, Philippe O. A. Navaux, Sílvia Silva da Costa Botelho, Shadi Ibrahim, Sarp Oral, Mário A. R. Dantas, Bing Xie, Robert Latham, Carlos Eduardo Ferreira and Robert Ross and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Jean Luca Bez

39 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Luca Bez Brazil	9	115	73	60	59	36	41	240
Jalal Kawash Canada	9	86 0.7×	39 0.5×	48 0.8×	25 0.4×	41 1.1×	48	198
Muztaba Fuad United States	11	86 0.7×	122 1.7×	13 0.2×	43 0.7×	73 2.0×	44	236
Atanas Radenski United States	9	41 0.4×	52 0.7×	28 0.5×	139 2.4×	35 1.0×	29	233
Md. Anwar Hossain Masud Australia	5	95 0.8×	181 2.5×	27 0.5×	65 1.1×	43 1.2×	14	251
Angela C. Sodan Canada	9	169 1.5×	109 1.5×	152 2.5×	10 0.2×	29 0.8×	38	252
Alessandro F. Seazzu United States	8	85 0.7×	188 2.6×	48 0.8×	20 0.3×	35 1.0×	11	275
Thomas P. Murtagh United States	10	54 0.5×	84 1.2×	55 0.9×	182 3.1×	96 2.7×	24	305
Barry L. Kurtz United States	10	36 0.3×	101 1.4×	35 0.6×	206 3.5×	48 1.3×	52	328
Kamarularifin Abd Jalil Malaysia	7	102 0.9×	145 2.0×	7 0.1×	24 0.4×	51 1.4×	21	240
Della Bonnette United States	3	55 0.5×	153 2.1×	34 0.6×	251 4.3×	57 1.6×	4	370

Countries citing papers authored by Jean Luca Bez

Since Specialization

Citations

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

Fields of papers citing papers by Jean Luca Bez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Luca Bez. 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 Jean Luca Bez. The network helps show where Jean Luca Bez may publish in the future.

Co-authorship network of co-authors of Jean Luca Bez

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Luca Bez. A scholar is included among the top collaborators of Jean Luca Bez 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 Jean Luca Bez. Jean Luca Bez 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

Bez, Jean Luca, et al.. (2025). I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. ACM Computing Surveys. 57(10). 1–41.

Byna, Suren, et al.. (2025). Data Readiness for AI: A 360-Degree Survey. ACM Computing Surveys. 57(9). 1–39. 7 indexed citations

Bez, Jean Luca, et al.. (2025). IOAgent: Democratizing Trustworthy HPC I/O Performance Diagnosis Capability via LLMs. arXiv (Cornell University). 322–334. 1 indexed citations

Byna, Suren, et al.. (2024). AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI. eScholarship (California Digital Library). 1–12. 7 indexed citations

Bez, Jean Luca, et al.. (2024). TunIO: An AI-powered Framework for Optimizing HPC I/O. eScholarship (California Digital Library). 494–505. 1 indexed citations

Bez, Jean Luca, Houjun Tang, Huihuo Zheng, et al.. (2024). h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre‐exascale platforms. Concurrency and Computation Practice and Experience. 36(16). 1 indexed citations

Bez, Jean Luca, et al.. (2024). ION: Navigating the HPC I/O Optimization Journey using Large Language Models. eScholarship (California Digital Library). 86–92. 3 indexed citations

Bez, Jean Luca, et al.. (2024). Drilling Down I/O Bottlenecks with Cross-layer I/O Profile Exploration. eScholarship (California Digital Library). 532–543. 1 indexed citations

Tang, Houjun, et al.. (2023). Efficient Asynchronous I/O with Request Merging. eScholarship (California Digital Library). 628–636.

10.

Bez, Jean Luca, et al.. (2023). Uncovering I/O demands on HPC platforms: Peeking under the hood of Santos Dumont. Journal of Parallel and Distributed Computing. 182. 104744–104744. 2 indexed citations

11.

Reddy, Tyler, Kevin Harms, Jean Luca Bez, et al.. (2023). Enabling Agile Analysis of I/O Performance Data with PyDarshan. SPIRE - Sciences Po Institutional REpository. 1380–1391. 5 indexed citations

12.

Evald, Paulo Jefferson Dias de Oliveira, et al.. (2023). Aprimorando a experiência de aprendizado em ambientes online massivos: o papel dos sistemas de recomendação. 164–174. 1 indexed citations

13.

Bez, Jean Luca, Ahmad Maroof Karimi, Arnab K. Paul, et al.. (2022). Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 43–55. 17 indexed citations

14.

Bez, Jean Luca, et al.. (2022). Drishti: Guiding End-Users in the I/O Optimization Journey. 1–6. 15 indexed citations

15.

Bez, Jean Luca, Houjun Tang, Bing Xie, et al.. (2021). I/O Bottleneck Detection and Tuning: Connecting the Dots using Interactive Log Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 15–22. 17 indexed citations

16.

Botelho, Sílvia Silva da Costa, et al.. (2020). Evaluating a programming problem recommendation model - a classroom personalization experiment. 1–6. 4 indexed citations

17.

Bez, Jean Luca, et al.. (2019). Um modelo de mediação pedagógica para ambientes massivos. RENOTE. 17(1). 93–102. 1 indexed citations

18.

Bez, Jean Luca, et al.. (2019). Um estudo comparativo entre dois modelos que estimam a habilidade dos estudantes: ELO e Teoria de Resposta ao Item. 459–468. 4 indexed citations

19.

Botelho, Sílvia Silva da Costa, et al.. (2018). A multidimensional ELO model for matching learning objects. 1–9. 10 indexed citations

20.

Bez, Jean Luca, et al.. (2018). URI Online Judge Blocks: Construindo Soluções em uma Plataforma Online de Programação. Anais do ... Simpósio Brasileiro de Informática na Educação. 1. 168–168. 2 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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