Vaibhav S. Narwane

2.6k citations
54 papers · 1.8k indexed · 1 hit paper · h-index 22

Vaibhav S. Narwane

50 papers receiving 1.7k citations

Hit Papers

Linking big data analytics and operational sustainability...266201920262021202350100150200250

Peers

Vaibhav S. Narwane
Comparison fields: 5 of 114
  • Management Information Systems 724
  • Strategy and Management 785
  • Industrial and Manufacturing Engineering 500
  • Business and International Management 66
  • Marketing 195
Replace Mahak Sharma with:
Mahak Sharma India
Pragati Priyadarshinee India
Rohit Kumar Singh India
Yuanzhu Zhan United Kingdom
Gunjan Soni India
A.R. Singh India
Shradha Gawankar India
Ruchi Mishra India
Naoufel Cheikhrouhou Switzerland
Mehrdokht Pournader Australia
Vaibhav S. Narwane relative to Mahak Sharma India Mahak Sharma's profile →
Citations per field
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Mahak Sharma · 1×
Citations per year

Countries citing papers authored by Vaibhav S. Narwane

Since Specialization
Citations

This map shows the geographic impact of Vaibhav S. Narwane'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 Vaibhav S. Narwane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav S. Narwane more than expected).

Fields of papers citing papers by Vaibhav S. Narwane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vaibhav S. Narwane. 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 Vaibhav S. Narwane. The network helps show where Vaibhav S. Narwane may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vaibhav S. Narwane, 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 Vaibhav S. Narwane Line = papers co-authored together Vaibhav S. Narwane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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3 20241
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9 20226
10 20222
11 202148
12 202164
13 202153
14 202141
15 202138
16 202118
17 202094
18 2020101
19 202028
20 20191

About Vaibhav S. Narwane

Vaibhav S. Narwane is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Strategy and Management, Information Systems and Management and Management of Technology and Innovation, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Digital Transformation in Industry (25 papers), Quality and Supply Management (15 papers), Big Data and Business Intelligence (10 papers), Organizational and Employee Performance (8 papers), Supply Chain Resilience and Risk Management (8 papers), Sustainable Supply Chain Management (6 papers), Technology Adoption and User Behaviour (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Management Information Systems (724 citations), Strategy and Management (785 citations), Industrial and Manufacturing Engineering (500 citations), Business and International Management (66 citations) and Marketing (195 citations). Vaibhav S. Narwane has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Rakesh D. Raut, Balkrishna E. Narkhede, Bhaskar B. Gardas, Sachin Kumar Mangla, Pragati Priyadarshinee, Vinay Surendra Yadav, Manoj Dora, Shashank Kumar, Mengqi Liu and Angappa Gunasekaran. Their work appears in journals such as International Journal of Computer Integrated Manufacturing, Journal of Enterprise Information Management, Kybernetes, Annals of Operations Research and The International Journal of Logistics Management.

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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