Nitin Kumar Sahu

985 citations
40 papers · 637 · h-index 17

Impact in

Papers in

Nitin Kumar Sahu

37 papers receiving 612 citations

Peers

Nitin Kumar Sahu
Comparison fields: 5 of 72
  • Strategy and Management 321
  • Management Information Systems 188
  • Management Science and Operations Research 244
  • Industrial and Manufacturing Engineering 100
  • Management of Technology and Innovation 70
Replace Aijun Liu with:
Aijun Liu China
Hüseyin Başlıgil Türkiye
Atul Kumar Sahu India
Soroush Avakh Darestani Iran
Weilai Huang China
Hossein Safari Iran
Abdullahil Azeem Bangladesh
Şeyda Serdarasan Türkiye
Ahmad Sadeghieh Iran
André Luís Helleno Brazil
Nitin Kumar Sahu relative to Aijun Liu China Aijun Liu's profile →
Citations per field
00.5×7.3×
Aijun Liu · 1×
Citations per year

Countries citing papers authored by Nitin Kumar Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitin Kumar Sahu. 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 Nitin Kumar Sahu. The network helps show where Nitin Kumar Sahu may publish in the future.

Co-authors

The 18 scholars most cited alongside Nitin Kumar Sahu, 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 Nitin Kumar Sahu Line = papers co-authored together Nitin Kumar Sahu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 201353
3 201837
4 201231
5 201527
6 201627
7 201626
8 201425
9 201623
10 201523
11 201422
12 201722
13 201922
14 202018
15 201618
16 201317
17 202216
18 201816
19 201715
20 201314

About Nitin Kumar Sahu

Nitin Kumar Sahu is a scholar working on Management Science and Operations Research, Strategy and Management, Mechanical Engineering, Management Information Systems and Electrical and Electronic Engineering, having authored 40 papers that have together received 637 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Sustainable Supply Chain Management (18 papers), Advanced machining processes and optimization (7 papers), Advanced Machining and Optimization Techniques (6 papers), Supply Chain Resilience and Risk Management (5 papers), Quality and Supply Management (4 papers), Blockchain Technology Applications and Security (4 papers) and Environmental Sustainability in Business (4 papers). The work is most often cited by research in Strategy and Management (321 citations), Management Information Systems (188 citations), Management Science and Operations Research (244 citations), Industrial and Manufacturing Engineering (100 citations) and Management of Technology and Innovation (70 citations). Nitin Kumar Sahu has collaborated with scholars based in India, China and Chile. Frequent co-authors include Atul Kumar Sahu, Anoop Kumar Sahu, Saurav Datta, Siba Sankar Mahapatra, Harendra Kumar Narang, Ajay Kumar Kaviti, Guilherme Luz Tortorella, Mahak Sharma, Rakesh D. Raut and Jiju Antony. Their work appears in journals such as Benchmarking An International Journal, Kybernetes, The TQM Journal, Measurement and Sadhana.

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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