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Ashkan Ebadi

Dados Biográficos

ID8548254
NOMEAshkan Ebadi
PRENOMESAshkan
SOBRENOMEEbadi
ASSINATURAEBADI A
AFILIAÇÕESNational Academies of Sciences, Engineering, and Medicine
ORCID0000-0002-4542-9105
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2019
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Women and key positions in scientific collaboration networks

    Open Access•Anahita Hajibabaei, Andrea Schiffauerova et al.•ARTICLE•Scientometrics•2023

    Scientific collaboration in almost every discipline is mainly driven by the need of sharing knowledge, expertise, and pooled resources. Science is becoming more complex which has encouraged scientists to involve more in collaborative research projects in order to better address the challenges. As a highly interdisciplinary field with a rapidly evolving scientific landscape, artificial intelligence calls for researchers with special profiles cover…

  • Understanding the temporal evolution of Covid-19 research through machine learning and natural language processing

    Open Access•Ashkan Ebadi, Pengcheng Xi et al.•ARTICLE•Scientometrics•2021

    The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most cases COVID-19 results in mild illness, it has drawn global attention due to the extremely contagious nature of SARS-CoV-2. Governments and healthcare…

  • A quest for the structure of intra- and postoperative surgical team networks

    Open Access•Ashkan Ebadi, Patrick J Tighe et al.•ARTICLE•Social Network Analysis and Mining•2019

Sem obras proeminentes nesta página.

  • A quest for the structure of intra- and postoperative surgical team networks

    Open Access•Ashkan Ebadi, Patrick J Tighe et al.•ARTICLE•Social Network Analysis and Mining•2019

  • Understanding the temporal evolution of Covid-19 research through machine learning and natural language processing

    Open Access•Ashkan Ebadi, Pengcheng Xi et al.•ARTICLE•Scientometrics•2021

    The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most cases COVID-19 results in mild illness, it has drawn global attention due to the extremely contagious nature of SARS-CoV-2. Governments and healthcare…

  • Women and key positions in scientific collaboration networks

    Open Access•Anahita Hajibabaei, Andrea Schiffauerova et al.•ARTICLE•Scientometrics•2023

    Scientific collaboration in almost every discipline is mainly driven by the need of sharing knowledge, expertise, and pooled resources. Science is becoming more complex which has encouraged scientists to involve more in collaborative research projects in order to better address the challenges. As a highly interdisciplinary field with a rapidly evolving scientific landscape, artificial intelligence calls for researchers with special profiles cover…

Computer Science (3 obras) · Artificial Intelligence (2 obras) · Artificial Intelligence (2 obras) · Data science (2 obras) · Medicine (2 obras) · Sociology (2 obras) · Business (1 obras) · Computer security (1 obras) · Contagious disease (1 obras) · Coronavirus disease 2019 (COVID-19) (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae