Arpit Singh

710 total citations
32 papers, 443 citations indexed

About

Arpit Singh is a scholar working on Strategy and Management, Management Information Systems and Radiological and Ultrasound Technology. According to data from OpenAlex, Arpit Singh has authored 32 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Strategy and Management, 6 papers in Management Information Systems and 5 papers in Radiological and Ultrasound Technology. Recurrent topics in Arpit Singh's work include Sustainable Supply Chain Management (8 papers), Supply Chain Resilience and Risk Management (7 papers) and Quality and Supply Management (5 papers). Arpit Singh is often cited by papers focused on Sustainable Supply Chain Management (8 papers), Supply Chain Resilience and Risk Management (7 papers) and Quality and Supply Management (5 papers). Arpit Singh collaborates with scholars based in India, Taiwan and Lebanon. Arpit Singh's co-authors include Vimal Kumar, Subhas Chandra Misra, Rohit Raj, Pratima Verma, Pratima Verma, Anuradha Purohit, Ashish Dwivedi, Dindayal Agrawal, Ankesh Mittal and Anurag Chauhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Business Strategy and the Environment.

In The Last Decade

Arpit Singh

28 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpit Singh India 12 140 105 76 75 73 32 443
Harry Martin Netherlands 9 184 1.3× 219 2.1× 49 0.6× 116 1.5× 65 0.9× 20 684
Şeyda Serdarasan Türkiye 9 197 1.4× 161 1.5× 39 0.5× 153 2.0× 60 0.8× 16 484
Sajani Jayasuriya Australia 8 176 1.3× 66 0.6× 65 0.9× 146 1.9× 44 0.6× 17 559
Chih-Hung Hsu Taiwan 11 240 1.7× 129 1.2× 24 0.3× 55 0.7× 86 1.2× 38 526
June-Seong Yi South Korea 9 64 0.5× 53 0.5× 60 0.8× 234 3.1× 35 0.5× 12 500
Marcos Singer Chile 14 148 1.1× 160 1.5× 74 1.0× 104 1.4× 352 4.8× 31 717
Morteza Mousakhani Iran 11 74 0.5× 44 0.4× 62 0.8× 133 1.8× 105 1.4× 26 407
Gülin Feryal Can Türkiye 14 74 0.5× 48 0.5× 30 0.4× 269 3.6× 45 0.6× 61 560

Countries citing papers authored by Arpit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Arpit Singh. A scholar is included among the top collaborators of Arpit Singh 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 Arpit Singh. Arpit Singh 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.
Singh, Arpit, et al.. (2026). Modelling readiness factors for digital platform adoption considering metaverse environment: towards digital organizations. Journal of Advances in Management Research. 1–25.
2.
Singh, Arpit, Ashish Dwivedi, Dindayal Agrawal, Surajit Bag, & Anurag Chauhan. (2024). Can sustainable and digital objectives synchronize? A study of ESG activities for digital supply chains using multi‐methods. Business Strategy and the Environment. 33(8). 8413–8435. 7 indexed citations
3.
Kumar, Vimal, et al.. (2024). Conceptualization and theorizing process of innovation metrics for green business practices. SHILAP Revista de lepidopterología. 2(3). 100110–100110. 2 indexed citations
4.
Sangwan, Kuldip Singh, et al.. (2024). Blockchain-enabled architecture for lead acid battery circularity. Scientific Reports. 14(1). 16467–16467. 5 indexed citations
5.
Raj, Rohit, Vimal Kumar, Ankesh Mittal, et al.. (2024). Practices and strategies for global sourcing and supply chain management: a Pareto analysis and MOORA a mixed method approach. Journal of Global Operations and Strategic Sourcing. 18(3). 447–470. 9 indexed citations
6.
Singh, Arpit, Vimal Kumar, & Pratima Verma. (2023). Sustainable supplier selection in a construction company: a new MCDM method based on dominance-based rough set analysis. Construction Innovation. 25(2). 328–362. 10 indexed citations
7.
Singh, Arpit, et al.. (2023). Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability. Operations Management Research. 16(4). 1667–1683. 30 indexed citations
8.
Raj, Rohit, Arpit Singh, Vimal Kumar, & Pratima Verma. (2023). Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations. SHILAP Revista de lepidopterología. 3(3). 100140–100140. 75 indexed citations
9.
Raj, Rohit, et al.. (2023). Assessing the e-commerce last-mile logistics’ hidden risk hurdles. Cleaner Logistics and Supply Chain. 10. 100131–100131. 14 indexed citations
10.
Singh, Arpit, Vimal Kumar, Ankesh Mittal, & Pratima Verma. (2023). Identifying critical challenges to lean construction adoption. Construction Innovation. 24(1). 67–105. 9 indexed citations
11.
Singh, Arpit, et al.. (2022). Can suppliers be sustainable in construction supply chains? Evidence from a construction company using best worst approach. Management of Environmental Quality An International Journal. 34(4). 1129–1157. 19 indexed citations
12.
Singh, Arpit, Vimal Kumar, Pratima Verma, & Jayakrishna Kandasamy. (2022). Identification and severity assessment of challenges in the adoption of industry 4.0 in Indian construction industry. Asia Pacific Management Review. 28(3). 299–315. 22 indexed citations
13.
Zaraki, Abolfazl, et al.. (2021). Explainability in Human-Robot Teaming. Procedia Computer Science. 192. 3487–3496. 11 indexed citations
14.
Singh, Arpit, et al.. (2021). Identification and ordering of safety performance indicators using fuzzy TOPSIS: a case study in Indian construction company. International Journal of Quality & Reliability Management. 39(1). 77–114. 17 indexed citations
15.
Singh, Arpit & Subhas Chandra Misra. (2020). A Dominance based Rough Set analysis for investigating employee perception of safety at workplace and safety compliance. Safety Science. 127. 104702–104702. 21 indexed citations
16.
Singh, Arpit, et al.. (2019). Roll Call Vote Prediction with Knowledge Augmented Models. 574–581. 5 indexed citations
17.
Singh, Arpit, et al.. (2017). Evaluación de la sostenibilidad de dos corredores de puentes icónicos en construcción utilizando la técnica Fuzzy Vikor: Un estudio de caso. Redalyc (Universidad Autónoma del Estado de México). 1 indexed citations
18.
Kumari, Priyanka, Arpit Singh, & Yasha Hasija. (2017). Functional Annotation of Hypothetical proteins of Lactobacillus rhamnosus. 65–69.
19.
Singh, Arpit & Anuradha Purohit. (2015). A Survey on Methods for Solving Data Imbalance Problem for Classification. International Journal of Computer Applications. 127(15). 37–41. 36 indexed citations
20.
Basu, Saurabh, et al.. (2014). Geo-intelligence based terrain-aware mobile backhaul planning for rural India. 1–6. 6 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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