Sujit Kumar De

88 papers receiving 1.5k citations

Peers

Sujit Kumar De
Comparison fields: 5 of 97
  • Management Information Systems 990
  • Strategy and Management 771
  • Statistics and Probability 411
  • Management Science and Operations Research 597
  • Industrial and Manufacturing Engineering 245
Replace Radivoj Petrović with:
Radivoj Petrović Serbia
Tien‐Fu Liang Taiwan
Amalesh Kumar Manna India
J. D. T. Tannock United Kingdom
Mingyuan Chen Canada
Md. Al‐Amin Khan Bangladesh
Reay‐Chen Wang Taiwan
Huey-Ming Lee Taiwan
Abolfazl Mirzazadeh Iran
Layek Abdel‐Malek United States
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Citations per field
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Radivoj Petrović · 1×
Citations per year

Countries citing papers authored by Sujit Kumar De

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Kumar De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Sujit Kumar De, 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 Sujit Kumar De Line = papers co-authored together Sujit Kumar De links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 201368
3 201455
4 201753
5 201852
6 201652
7 201749
8 201347
9 201940
10 201939
11 201838
12 201633
13 201833
14 201931
15 200630
16 201629
17 201429
18 202129
19 202028
20 202027

About Sujit Kumar De

Sujit Kumar De is a scholar working on Management Information Systems, Management Science and Operations Research, Strategy and Management, Statistics and Probability and Control and Systems Engineering, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (57 papers), Multi-Criteria Decision Making (42 papers), Sustainable Supply Chain Management (41 papers), Fuzzy Systems and Optimization (32 papers), Optimization and Mathematical Programming (25 papers), Scheduling and Optimization Algorithms (6 papers), Supply Chain Resilience and Risk Management (3 papers) and Management and Optimization Techniques (2 papers). The work is most often cited by research in Management Information Systems (990 citations), Strategy and Management (771 citations), Statistics and Probability (411 citations), Management Science and Operations Research (597 citations) and Industrial and Manufacturing Engineering (245 citations). Sujit Kumar De has collaborated with scholars based in India, Pakistan and South Korea. Frequent co-authors include Gour Chandra Mahata, Shib Sankar Sana, Adrijit Goswami, Ismat Beg, Sankar Prasad Mondal, Shariful Alam, Madhumangal Pal, Avishek Chakraborty, Mostafijur Rahaman and Ravi Shankar Kumar. Their work appears in journals such as Soft Computing, International Journal of Systems Science Operations & Logistics, Sadhana, International Journal of Management Science and Engineering Management and Journal of Intelligent & Fuzzy Systems.

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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