Rachna Kumari

458 citations
24 papers · 376 indexed · h-index 10

Rachna Kumari

23 papers receiving 349 citations

Peers

Rachna Kumari
Comparison fields: 5 of 47
  • Management Information Systems 289
  • Strategy and Management 250
  • Industrial and Manufacturing Engineering 87
  • Marketing 45
  • Industrial and Manufacturing Engineering 26
Replace Sudarshan Bardhan with:
Sudarshan Bardhan India
Santanu Kumar Ghosh India
Sharmila Saren India
Urmila Chaudhari India
Lama Moussawi-Haidar Lebanon
Arindam Garai India
Kuo‐Ren Lou Taiwan
Sumon Sarkar India
Dah-Chuan Gong Taiwan
Hyesung Seok South Korea
Rachna Kumari relative to Sudarshan Bardhan India Sudarshan Bardhan's profile →
Citations per field
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Sudarshan Bardhan · 1×
Citations per year

Countries citing papers authored by Rachna Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Rachna Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachna Kumari. 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 Rachna Kumari. The network helps show where Rachna Kumari may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Rachna Kumari, 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 Rachna Kumari Line = papers co-authored together Rachna Kumari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20210
3 2021146
4 20136
5 20135
6 20133
7 20139
8 201317
9
Effect of demand boosting policy on optimal inventory policy for imperfect lot size with backorder in fuzzy environment
20124
10 20122
11 201210
12 201210
13 20122
14 20126
15 201223
16 20111
17 201119
18 201117
19 201019
20 201027

About Rachna Kumari

Rachna Kumari is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering, having authored 24 papers that have together received 376 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (24 papers), Sustainable Supply Chain Management (16 papers), Optimization and Mathematical Programming (6 papers), Quality and Supply Management (3 papers), Fuzzy Systems and Optimization (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Scheduling and Optimization Algorithms (1 paper) and Urban and Freight Transport Logistics (1 paper). The work is most often cited by research in Management Information Systems (289 citations), Strategy and Management (250 citations) and Industrial and Manufacturing Engineering (87 citations). Rachna Kumari has collaborated with scholars based in India and South Korea. Frequent co-authors include Dharmendra Yadav, S.R. Singh, Biswajit Sarkar, Narendra Kumar, Neeraj Kumar, Narendra Kumar and Dharmendra Kumar Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and International Journal of Systems Science.

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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