Anoop Kumar Sahu

1.5k total citations
51 papers, 1.0k citations indexed

About

Anoop Kumar Sahu is a scholar working on Strategy and Management, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Anoop Kumar Sahu has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Strategy and Management, 24 papers in Management Science and Operations Research and 12 papers in Management Information Systems. Recurrent topics in Anoop Kumar Sahu's work include Sustainable Supply Chain Management (27 papers), Multi-Criteria Decision Making (23 papers) and Quality and Supply Management (9 papers). Anoop Kumar Sahu is often cited by papers focused on Sustainable Supply Chain Management (27 papers), Multi-Criteria Decision Making (23 papers) and Quality and Supply Management (9 papers). Anoop Kumar Sahu collaborates with scholars based in India, China and South Africa. Anoop Kumar Sahu's co-authors include Atul Kumar Sahu, Nitin Kumar Sahu, Saurav Datta, Siba Sankar Mahapatra, Surajit Bag, Pavitra Dhamija, Harendra Kumar Narang, S.S. Mahapatra, Rakesh D. Raut and Jiju Antony and has published in prestigious journals such as Journal of Cleaner Production, Business Strategy and the Environment and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Anoop Kumar Sahu

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anoop Kumar Sahu India 19 567 299 268 152 108 51 1.0k
Yeu‐Shiang Huang Taiwan 22 526 0.9× 473 1.6× 272 1.0× 119 0.8× 140 1.3× 87 1.6k
Atul Kumar Sahu India 16 431 0.8× 216 0.7× 169 0.6× 144 0.9× 98 0.9× 53 751
Amin Vafadarnikjoo United Kingdom 13 515 0.9× 196 0.7× 334 1.2× 90 0.6× 84 0.8× 25 989
Yahia Zare Mehrjerdi Iran 22 488 0.9× 414 1.4× 195 0.7× 195 1.3× 74 0.7× 69 1.3k
Özalp Vayvay Türkiye 18 306 0.5× 290 1.0× 325 1.2× 139 0.9× 46 0.4× 64 1.1k
Hadi Badri Ahmadi Taiwan 15 817 1.4× 263 0.9× 399 1.5× 175 1.2× 88 0.8× 32 1.4k
S. Kamal Chaharsooghi Iran 16 402 0.7× 401 1.3× 323 1.2× 212 1.4× 45 0.4× 47 1.1k
Bathrinath Sankaranarayanan India 21 539 1.0× 158 0.5× 117 0.4× 190 1.3× 78 0.7× 50 1.1k
Jei‐Zheng Wu Taiwan 18 562 1.0× 543 1.8× 169 0.6× 347 2.3× 48 0.4× 51 1.2k
Rajiv K. Srivastava India 12 574 1.0× 221 0.7× 133 0.5× 175 1.2× 131 1.2× 25 956

Countries citing papers authored by Anoop Kumar Sahu

Since Specialization
Citations

This map shows the geographic impact of Anoop 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 Anoop 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 Anoop Kumar Sahu more than expected).

Fields of papers citing papers by Anoop Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Kumar Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Anoop Kumar Sahu. A scholar is included among the top collaborators of Anoop Kumar Sahu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anoop Kumar Sahu. Anoop Kumar Sahu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sahu, Atul Kumar, et al.. (2023). Adaptation of block chain technology in SCM for steering managerial strategies: investigative study under Indian context. Journal of International Logistics and Trade. 21(1). 18–40. 5 indexed citations
2.
Sahu, Anoop Kumar, et al.. (2023). Users' Acceptance of Artificial Intelligence-Based Chatbots. International Journal of Technology and Human Interaction. 19(1). 1–18. 38 indexed citations
3.
Sahu, Atul Kumar, Nitin Kumar Sahu, & Anoop Kumar Sahu. (2022). Laminating STRATH block chain technology- SWOT architectures to endure business strategy between digital transformation, firms and supply chains capabilities for sustainability. Journal of Cleaner Production. 383. 135531–135531. 16 indexed citations
4.
Sahu, Atul Kumar, Mahak Sharma, Rakesh D. Raut, et al.. (2022). Decision-making framework for supplier selection using an integrated MCDM approach in a lean-agile-resilient-green environment: evidence from Indian automotive sector. The TQM Journal. 35(4). 964–1006. 57 indexed citations
5.
Prabhu, M., et al.. (2021). Factors Affecting the Adoption of Blockchain Technology in the Complex Industrial Systems: Data Modeling. Complexity. 2021(1). 15 indexed citations
6.
Sahu, Atul Kumar, et al.. (2021). Modeling the predictive values of ultimate tensile strength in welded joint by response surface methodology. Materials Today Proceedings. 44. 3110–3114. 4 indexed citations
7.
Sahu, Anoop Kumar, et al.. (2021). Food’s Waste Water Biosolid Assessment against Toxic Element Absorbability of Food’s Cropping Soil Plant by Dominance Theory. Adsorption Science & Technology. 2021. 1 indexed citations
8.
9.
Sahu, Anoop Kumar, et al.. (2020). Determination of Physicochemical Parameters and Levels of Heavy Metals in Food Waste Water with Environmental Effects. Bioinorganic Chemistry and Applications. 2020. 1–9. 79 indexed citations
10.
Bag, Surajit, et al.. (2020). Barriers to adoption of blockchain technology in green supply chain management. Journal of Global Operations and Strategic Sourcing. 14(1). 104–133. 106 indexed citations
11.
12.
Sahu, Atul Kumar, Anup Kumar, Anoop Kumar Sahu, & Nitin Kumar Sahu. (2020). Evaluation of machine tool substitute under data-driven quality management system: a hybrid decision-making approach. The TQM Journal. 35(1). 234–261. 3 indexed citations
13.
14.
Sahu, Anoop Kumar, Nitin Kumar Sahu, & Atul Kumar Sahu. (2018). Knowledge based decision support system for appraisement of sustainable partner under fuzzy cum non-fuzzy information. Kybernetes. 47(6). 1090–1121. 14 indexed citations
15.
Sahu, Nitin Kumar, Atul Kumar Sahu, & Anoop Kumar Sahu. (2017). Optimization of weld bead geometry of MS plate (Grade: IS 2062) in the context of welding: a comparative analysis of GRA and PCA–Taguchi approaches. Sadhana. 42(2). 231–244. 15 indexed citations
16.
Sahu, Anoop Kumar, Nitin Kumar Sahu, & Atul Kumar Sahu. (2016). Application of integrated TOPSIS in ASC index: partners benchmarking perspective. Benchmarking An International Journal. 23(3). 540–563. 26 indexed citations
17.
Sahu, Anoop Kumar, Nitin Kumar Sahu, & Atul Kumar Sahu. (2016). Application of modified MULTI-MOORA for CNC machine tool evaluation in IVGTFNS environment: an empirical study. International Journal of Computer Aided Engineering and Technology. 8(3). 234–234. 27 indexed citations
18.
Sahu, Anoop Kumar, Saurav Datta, & Siba Sankar Mahapatra. (2014). GDMP for CNC machine tool selection with a compromise ranking method using generalised fuzzy circumstances. International Journal of Computer Aided Engineering and Technology. 7(1). 92–92. 11 indexed citations
19.
Sahu, Anoop Kumar, Saurav Datta, & Siba Sankar Mahapatra. (2014). Supply chain performance benchmarking using grey-MOORA approach. Grey Systems Theory and Application. 4(1). 24–55. 24 indexed citations
20.
Sahu, Anoop Kumar, Nitin Kumar Sahu, & Atul Kumar Sahu. (2014). Appraisal of CNC machine tool by integrated MULTI-MOORA-IVGN circumferences. Grey Systems Theory and Application. 4(1). 104–123. 22 indexed citations

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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