World's Best Scientists 2026 revealed!
Rajeev Sharma

Rajeev Sharma

D-Index & Metrics

Computer Science

D-Index
54
Citations
10966
World Ranking
4597
National Ranking
2142

Overview

Rajeev Sharma is affiliated with Edward Jones in the United States and has contributed extensively to research in computer science, engineering, and psychology. Their scholarly work encompasses a variety of subfields including computer networks and communications, artificial intelligence, information systems, social psychology, and sociology and political science.

The research topics Rajeev Sharma has focused on include:

  • AI in Service Interactions
  • IoT and Edge/Fog Computing
  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Digital Marketing and Social Media
  • Context-Aware Activity Recognition Systems
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques

Their recent publications highlight engagement with emerging technologies and interdisciplinary approaches. Selected recent papers include:

  • "A Review on Task Offloading Mechanism for IoT Edge Fog Cloud Data Interplay" (2022), presented at the 2022 IEEE Delhi Section Conference (DELCON)
  • "Will I virtually try and buy? - exploring the adoption of virtual fitting rooms through the lens of perceived value, risk, and consumer characteristics" (2025), published in The International Review of Retail Distribution and Consumer Research
  • "Simulators for Fog Computing and Information Processing" (2024), published in Proceedings of the National Academy of Sciences India Section A Physical Sciences
  • "CAR-T cell a potential platform for cancer therapy" (2024), published in Medicine in Novel Technology and Devices
  • "Understanding multi-cloud platform: innovative AI-assisted trust-aware resource allocation technique" (2025), published in International Journal of Systems Assurance Engineering and Management

Rajeev Sharma has collaborated frequently with several co-authors, underscoring engagement with a research community focused on technology and social science intersections. Frequent collaborators include:

  • Tarun Kumar Vashishth (10 joint works)
  • M. K. Sharma (7 joint works)
  • Kewal Krishan Sharma (4 joint works)
  • Vikas Sharma (3 joint works)
  • Pratibha Singh (3 joint works)

Publications by Rajeev Sharma have appeared in diverse venues, reflecting the interdisciplinary nature of their research. Notable publication venues include:

  • The International Review of Retail Distribution and Consumer Research
  • 2022 IEEE Delhi Section Conference (DELCON)
  • Proceedings of the National Academy of Sciences India Section A Physical Sciences
  • Medicine in Novel Technology and Devices
  • International Journal of Systems Assurance Engineering and Management

Best Publications

  • Visual interpretation of hand gestures for human-computer interaction: a review

    V.I. Pavlovic;R. Sharma;T.S. Huang

  • Toward multimodal human-computer interface

    R. Sharma;V.I. Pavlovic;T.S. Huang

  • Recognition of facial expressions and measurement of levels of interest from video

    M. Yeasin;B. Bullot;R. Sharma

  • Method and system for real-time facial image enhancement

    Namsoon Jung;Rajeev Sharma

  • Method and system for dynamically targeting content based on automatic demographics and behavior analysis

    Rajeev Sharma;Namsoon Jung;Hankyu Moon;Varij Saurabh

  • Designing a human-centered, multimodal GIS interface to support emergency management

    Ingmar Rauschert;Pyush Agrawal;Rajeev Sharma;Sven Fuhrmann

  • Method and apparatus for providing virtual touch interaction in the drive-thru

    Nils Krahnstoever;Emilio Schapira;Rajeev Sharma;Namsoon Jung

  • Method and system for measuring shopper response to products based on behavior and facial expression

    Hankyu Moon;Rajeev Sharma;Namsoon Jung

  • Method and system for measuring human response to visual stimulus based on changes in facial expression

    Hankyu Moon;Rajeev Sharma;Namsoon Jung

  • Speech-gesture driven multimodal interfaces for crisis management

    R. Sharma;M. Yeasin;N. Krahnstoever;I. Rauschert

  • Method and system for automatically analyzing categories in a physical space based on the visual characterization of people

    Rajeev Sharma;Satish Mummareddy;Priya Baboo;Jeff Hershey

  • Enabling collaborative geoinformation access and decision‐making through a natural, multimodal interface

    Alan M. MacEachren;Guoray Cai;Rajeev Sharma;Ingmar Rauschert

  • Interactive evaluation of assembly sequences using augmented reality

    V. Raghavan;J. Molineros;R. Sharma

  • From facial expression to level of interest: a spatio-temporal approach

    M. Yeasin;B. Bullot;R. Sharma

  • Method and system for measuring emotional and attentional response to dynamic digital media content

    Hankyu Moon;Rajeev Sharma;Namsoon Jung

  • Method and system for detecting conscious hand movement patterns and computer-generated visual feedback for facilitating human-computer interaction

    Rajeev Sharma;Nils Krahnstoever;Emilio Schapira

  • Method and system for narrowcasting based on automatic analysis of customer behavior in a retail store

    Rajeev Sharma;Satish Mummareddy;Jeff Hershey;Akhil Kamat

  • Method and system for analyzing shopping behavior using multiple sensor tracking

    Rajeev Sharma;Satish Mummareddy;Namsoon Jung

  • Method and system for determining the age category of people based on facial images

    Hankyu Moon;Rajeev Sharma;Namsoon Jung

  • A real-time framework for natural multimodal interaction with large screen displays

    N. Krahnstoever;S. Kettebekov;M. Yeasin;R. Sharma

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