Shashi Kant Gupta

1.2k citations
63 papers · 403 indexed · h-index 11

Shashi Kant Gupta

53 papers receiving 373 citations

Peers

Shashi Kant Gupta
Comparison fields: 5 of 108
  • Health Informatics 19
  • Computer Networks and Communications 119
  • Industrial and Manufacturing Engineering 32
  • Information Systems 72
  • Management Information Systems 28
Replace Ankit Bansal with:
Ankit Bansal India
Pawankumar Sharma United States
Nurhizam Safie Malaysia
Zefeng Chen China
S. Vikram Singh India
Omar Santos United Kingdom
Md Ileas Pramanik Bangladesh
M. J. Baqer Malaysia
Christoph Thüemmler United Kingdom
Mafawez Alharbi Saudi Arabia
Shashi Kant Gupta relative to Ankit Bansal India Ankit Bansal's profile →
Citations per field
00.5×4.8×
Ankit Bansal · 1×
Citations per year

Countries citing papers authored by Shashi Kant Gupta

Since Specialization
Citations

This map shows the geographic impact of Shashi Kant Gupta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shashi Kant Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi Kant Gupta more than expected).

Fields of papers citing papers by Shashi Kant Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shashi Kant Gupta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shashi Kant Gupta. The network helps show where Shashi Kant Gupta may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shashi Kant Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shashi Kant Gupta Line = papers co-authored together Shashi Kant Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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16
Effect Of Employee Empowerment On Job Satisfaction In Manufacturing Industry
20218
17
An Approach for Optimal Placement of data in Fog Computing
20211
18
The healthcare sector: A development of digital marketing methods
20213
19
Pinus gerardiana: A boon for livelihood security in Jammu and Kashmir
20160
20
Multilocus sequence typing of Indian isolates of Pasteurella multocida
20112

About Shashi Kant Gupta

Shashi Kant Gupta is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems, having authored 63 papers that have together received 403 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Blockchain Technology Applications and Security (4 papers), Big Data and Business Intelligence (3 papers), Digital Transformation in Industry (3 papers), Robotic Path Planning Algorithms (3 papers), Internet of Things and AI (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Health Informatics (19 citations), Computer Networks and Communications (119 citations) and Industrial and Manufacturing Engineering (32 citations). Shashi Kant Gupta has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include Rajesh Natarajan, H L Gururaj, Francesco Flammini, Alex Khang, Rosario Huerta-Soto, Edwin Ramirez-Asís, D.A. Karras, Vinoth Kumar Venkatesan, Sita Rani and Nouf Abdullah Almujally. Their work appears in journals such as Scientific Reports, Wireless Communications and Mobile Computing, Analytical Chemistry, npj Digital Medicine and Environment Development and Sustainability.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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