Información de la conferencia

eScience 2026: IEEE International Conference On E-Science

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Día de Entrega:
2026-05-18 Cerrado
Fecha de Notificación:
2026-06-29
Fecha de conferencia:
2026-09-28
Ubicación:
Naples, Italy
Ediciones:
22
ICORE: B   QUALIS: B5   Vistas: 66033   Seguidores: 8   Asistentes: 3
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Índice Conference Partner (CP-I)

69,5 / 100
Puesto n.º 350 de 5.738 congresos · 7% superior
Reconocimiento académico (35%)
72
Selectividad en la revisión (20%)
70
Ediciones celebradas (20%)
84
Atención de la comunidad (10%)
37
Integridad del registro público (15%)
65

Datos utilizados: Categorías: ICORE B, QUALIS B5 · Tasa de aceptación: 37% (media de 5 ediciones registradas) · Ediciones documentadas: 22 · Investigadores que lo siguen aquí: 8 · Investigadores que abrieron esta página en los últimos 24 meses: 7

Falta en el registro público: Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

eScience 2026 (IEEE International Conference On E-Science) is a ICORE B / QUALIS B5 conference held in Naples, Italy on 2026-09-28. The paper submission deadline is 2026-05-18. Acceptance notifications are sent on 2026-06-29.

The 22nd IEEE International eScience Conference (eScience’26) will be held in Naples from September 28 to October 2, 2026. eScience studies, enacts, and improves the ongoing process of innovation in computationally intensive or data-intensive research methods; typically, this is carried out collaboratively, often using distributed computing infrastructure. eScience encompasses all fields of research and addresses all stages of the research lifecycle, from formulation of the research questions, through large-scale simulations and data analytics, scientific discovery, up to long-term sharing, publication, reusing, and reapplying of the results, data, as well as the relevant tools, processes, and knowledge. eScience’26 welcomes paper submissions for its technical program. The conference will be an interdisciplinary forum for researchers, developers, and users of applications and enabling IT technologies. The conference welcomes conceptualization, implementation, and experience contributions that will allow and drive innovation in data- and compute-intensive research. eScience covers all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities. Infrastructure and technologies can span a broad spectrum, including HPC, cloud, IoT, and artificial intelligence and machine learning methods. Submissions may include all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. Ideal papers involve the interplay between applications and infrastructure technologies, with an emphasis on novelty in one or both. Topics of interest related to eScience also include, but are not limited to: Artificial intelligence, machine learning, data science, generative AI, and large language models are/applicable in science Research computing cyberinfrastructure (e.g., cloud, cluster, HPC, supercomputer) Findable, Accessible, Interoperable, Reusable (FAIR) principles for scientific software, data, workflows, and models Reproducible and replicable eScience Translational research in computer and computational sciences Continuum computing: convergence between cloud computing, edge computing, and/or the Internet of Things (IoT) Education and e-Science Collaborative, reproducible, and replicable eScience Science gateways, data portals, and digital repositories Resource management and scheduling Programming paradigms and models Real-time (time-sensitive) computing (e.g., for scientific instruments) Automation and event-based computing Big data stacks and significant data ecosystems File and storage systems, I/O, and data management Scientific applications, algorithms, tools, and technologies Scientific workflows and distributed computing paradigms (e.g., FaaS) Blockchain technologies in science Fault tolerance, resilience, and security
Última actualización por Dou Sun el

Tasa de aceptación

Tasa de aceptación media: 33.8% en 11 años (2005–2015).

AñoEnviadosAceptadosAceptados(%)
20151233125.2%
20141013837.6%
2013984141.8%
20121544831.2%
20111105449.1%
20101424431%
20091775128.8%
20082066029.1%
20072066029.1%
20061606037.5%
20051755430.9%

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CKnowledge-Based Systems7.2Elsevier0950-7051
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AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
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