S.R. Singh

235 papers receiving 2.4k citations

Peers

S.R. Singh
Comparison fields: 5 of 78
  • Management Information Systems 1.6k
  • Strategy and Management 1.3k
  • Management Science and Operations Research 675
  • Industrial and Manufacturing Engineering 519
  • Statistics and Probability 224
Replace Seyed Reza Hejazi with:
Seyed Reza Hejazi Iran
Turan Paksoy Türkiye
Hsiao‐Fan Wang Taiwan
Sujit Kumar De India
Fethullah Göçer Türkiye
Mijanur Rahaman Seikh India
Adel Guitouni Canada
M. Zied Babaï France
Seyed Hassan Ghodsypour Iran
Seyed Hossein Razavi Hajiagha Iran
S.R. Singh relative to Seyed Reza Hejazi Iran Seyed Reza Hejazi's profile →
Citations per field
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Citations per year

Countries citing papers authored by S.R. Singh

Since Specialization
Citations

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

Fields of papers citing papers by S.R. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 262 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006156
2 200686
3 200882
4 201959
5 202153
6 201845
7 202243
8 201843
9 201543
10 202142
11 201641
12 201739
13 201338
14 201636
15 202236
16 201331
17 201331
18 201031
19 201429
20 201428

About S.R. Singh

S.R. Singh is a scholar working on Management Information Systems, Strategy and Management, Industrial and Manufacturing Engineering, Management Science and Operations Research and Control and Systems Engineering, having authored 262 papers that have together received 2.5k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (205 papers), Sustainable Supply Chain Management (137 papers), Scheduling and Optimization Algorithms (38 papers), Optimization and Mathematical Programming (30 papers), Advanced Manufacturing and Logistics Optimization (28 papers), Recycling and Waste Management Techniques (21 papers), Advanced Queuing Theory Analysis (17 papers) and Management and Optimization Techniques (16 papers). The work is most often cited by research in Management Information Systems (1.6k citations), Strategy and Management (1.3k citations), Management Science and Operations Research (675 citations), Industrial and Manufacturing Engineering (519 citations) and Statistics and Probability (224 citations). S.R. Singh has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Neha Saxena, Shilpy Tayal, Rachna Kumari, Dharmendra Yadav, Swati Sharma, Biswajit Sarkar, Neeraj Kumar, R. K. Sharma, Shib Sankar Sana and Mitali Sarkar. Their work appears in journals such as International Journal of Industrial Engineering Computations, International Journal of Procurement Management, Indian Journal of Science and Technology, International Journal of Services and Operations Management and International Journal of Operational Research.

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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