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Shailesh Tripathi

Biographic Data

ID8310297
NAMEShailesh Tripathi
GIVEN NAMESShailesh
FAMILY NAMETripathi
SIGNATURETRIPATHI S
AFFILIATIONSRajendra Institute of Medical Sciences
ORCID0000-0001-5142-3781
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Decoding Viewer Emotions in Visual Media

    Open Access•Archana Borde, Neelam Raut et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The emotional reaction of the viewer to visual media is one of the key issues of digital art and visual advertising online where the aesthetic impression directly determines the attention, memory, and choice. Current methods of evaluation are based on self-reports and superficial measures of engagement which provide little information on underlying affective reactions that underlie consumer behavior. This gap has been filled in this paper by cons…

  • Integration of communicable and non-communicable diseases within the health system of India

    Open Access•Sudip Bhattacharya, Shailesh Tripathi et al.•ARTICLE•Frontiers in Public Health•2023

    OPINION article Front. Public Health, 09 January 2023Sec. Public Health Education and Promotion Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.1079827

  • Harnessing public health with “metaverse” technology

    Open Access•Sudip Bhattacharya, Saurabh Varshney et al.•ARTICLE•Frontiers in Public Health•2022

    OPINION article Front. Public Health, 01 December 2022Sec. Digital Public Health Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.1030574

  • Stability of cross impact matrices

    Open Access•Herbert Jodlbauer, Shailesh Tripathi et al.•ARTICLE•Technological Forecasting and…•2022

    The relationship between drivers and outcomes in technological and social systems is usually difficult to interpret. Pairwise direct impacts between variables can be defined by cross-impact matrices. In research, direct impact matrices' row and column sums are primarily utilized to identify critical, influential, dependent, neuter, and inert variables. In this paper, all existing direct and indirect impact paths between variables are considered, …

No prominent works on this page.

  • Harnessing public health with “metaverse” technology

    Open Access•Sudip Bhattacharya, Saurabh Varshney et al.•ARTICLE•Frontiers in Public Health•2022

    OPINION article Front. Public Health, 01 December 2022Sec. Digital Public Health Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.1030574

  • Stability of cross impact matrices

    Open Access•Herbert Jodlbauer, Shailesh Tripathi et al.•ARTICLE•Technological Forecasting and…•2022

    The relationship between drivers and outcomes in technological and social systems is usually difficult to interpret. Pairwise direct impacts between variables can be defined by cross-impact matrices. In research, direct impact matrices' row and column sums are primarily utilized to identify critical, influential, dependent, neuter, and inert variables. In this paper, all existing direct and indirect impact paths between variables are considered, …

  • Integration of communicable and non-communicable diseases within the health system of India

    Open Access•Sudip Bhattacharya, Shailesh Tripathi et al.•ARTICLE•Frontiers in Public Health•2023

    OPINION article Front. Public Health, 09 January 2023Sec. Public Health Education and Promotion Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.1079827

  • Decoding Viewer Emotions in Visual Media

    Open Access•Archana Borde, Neelam Raut et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The emotional reaction of the viewer to visual media is one of the key issues of digital art and visual advertising online where the aesthetic impression directly determines the attention, memory, and choice. Current methods of evaluation are based on self-reports and superficial measures of engagement which provide little information on underlying affective reactions that underlie consumer behavior. This gap has been filled in this paper by cons…

Computer Science (3 works) · Medicine (2 works) · Nursing (2 works) · Public health (2 works) · Aesthetic Perception and Analysis (1 work) · Algorithm (1 work) · Appeal to emotion (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work)

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