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Rajan Kumar Gangadhari
Observed name:
Gangadhari, Rajan Kumar
Observed institutions:
Institute of Management Technology,
ICFAI Business School,
SR University,
Institute of Chartered Financial Analysts of India,
Indian Institute of Management Mumbai
ORCID:
0000-0002-4841-7177
Observed ORCID:
0000-0002-4841-7177
OpenAlex ID:
A5090191233
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
2021
·
Ke Wang
, Yafei Zhao
, et al.
·
Sustainability
·
195
PDF
A Review of Digital Transformation on Supply Chain Process Management Using Text Mining
2022
·
Madjid Tavana
, Akram Shaabani
, et al.
·
Processes
·
141
PDF
Breaking barriers toward a net‐zero economy
2023
·
Rajan Kumar Gangadhari
, Saliha Karadayi‐Usta
, et al.
·
Natural Resources Forum
·
40
PDF
Analysing the inhibitors of complexity for achieving sustainability and improving sustainable performance of petroleum supply chain
2021
·
Pradeep Kumar Tarei
, Pushpendu Chand
, et al.
·
Journal of Cleaner Production
·
22
Analysis of accidents involving petroleum tankers and their consequences in India
2020
·
Rajan Kumar Gangadhari
, Shankar Murty
, et al.
·
Process Safety Progress
·
18
Modeling Perceptions About Destination Images and Intention to Re-Visit: A Mediating-Moderated Model of Tourists’ Behavior
2023
·
Rajan Kumar Gangadhari
, Vodnala Shivalingam
, et al.
·
International Journal of Hospitality & Tourism Administration
·
15
IoT Capabilities in Regaining Travelers’ Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector
2023
·
Pushpendu Chand
, Pradeep Kumar Tarei
, et al.
·
IEEE Transactions on Engineering Management
·
14
From unstructured accident reports to a hybrid decision support system for occupational risk management: The consensus converging approach
2024
·
Rajan Kumar Gangadhari
, Meysam Rabiee
, et al.
·
Journal of Safety Research
·
13
Qualitative Investigation of the Influential Factors behind Unsafe Trucking Behaviors in India
2020
·
Rajan Kumar Gangadhari
, Pradeep Kumar Tarei
·
Transportation Research Record Journal of the Transportation Research Board
·
13
Application of rough set theory and machine learning algorithms in predicting accident outcomes in the Indian petroleum industry
2022
·
Rajan Kumar Gangadhari
, Vivek Khanzode
, et al.
·
Concurrency and Computation Practice and Experience
·
9
Modelling the relationships between the barriers to implementing machine learning for accident analysis: the Indian petroleum industry
2022
·
Rajan Kumar Gangadhari
, Vivek Khanzode
, et al.
·
Benchmarking An International Journal
·
8
PDF
A re-examination of the space debris problem using systems thinking
2023
·
Virendra Kumar Verma
, Rajan Kumar Gangadhari
, et al.
·
6
PDF
Analysing performance barriers to the large-scale adoption of green hydrogen in the Indian landscape
2025
·
Aakansha Agrawal
, Adyasha Adishree
, et al.
·
International Journal of Productivity and Performance Management
·
3
Navigating the new normal: Redefining N95 respirator design with an integrated text mining and quality function deployment-based optimization model
2024
·
Rajan Kumar Gangadhari
, Pradeep Kumar Tarei
, et al.
·
Computers & Industrial Engineering
·
3
Optimizing Decision-Making of A Smart Prosumer Microgrid Using Simulation
2023
·
Oussama Accouche
, Rajan Kumar Gangadhari
·
Computers, materials & continua/Computers, materials & continua (Print)
·
2
PDF
Disaster impacts analysis using social media data
2021
·
Rajan Kumar Gangadhari
, Vivek Khanzode
, et al.
·
International Conference on Maintenance and Intelligent Asset Management (ICMIAM)
·
2
Is driving an electric two-wheeler (E2W) safe? Analysing safety risk factors of E2W considering the quality and reliability criteria
2024
·
Pradeep Kumar Tarei
, Rajan Kumar Gangadhari
, et al.
·
International Journal of Quality & Reliability Management
·
1
Understanding Investor Decision-Making through Social Media and Peer Influence: A Topic Modelling Approach
2026
·
Talla Shirisha
, M. Rajyalaxmi
, et al.
AI-Driven Early Warning System for Predicting Employee Burnout in a Polycrisis Work Environment
2026
·
Usha Shree Rathod
, M. Rajyalaxmi
, et al.
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Works count:
28
Citation count:
505
H-index:
9
I10-index:
9
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