Akshit Singh

1.6k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Akshit Singh is a scholar working on Food Science, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Akshit Singh has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 5 papers in Strategy and Management and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Akshit Singh's work include Food Waste Reduction and Sustainability (5 papers), Food Supply Chain Traceability (4 papers) and Sustainable Supply Chain Management (4 papers). Akshit Singh is often cited by papers focused on Food Waste Reduction and Sustainability (5 papers), Food Supply Chain Traceability (4 papers) and Sustainable Supply Chain Management (4 papers). Akshit Singh collaborates with scholars based in United Kingdom, Australia and Malaysia. Akshit Singh's co-authors include Nishikant Mishra, Nagesh Shukla, Nripendra P. Rana, Yogesh K. Dwivedi, Sunil Luthra, Sachin Kumar Mangla, Manoj Dora, Sushma Kumari, Syed Imran Ali and Ravi Shankar and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Akshit Singh

16 papers receiving 1.2k citations

Hit Papers

Barriers to effective circular supply chain management in... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshit Singh United Kingdom 10 696 288 279 241 214 17 1.2k
Manjot Singh Bhatia India 17 840 1.2× 386 1.3× 316 1.1× 251 1.0× 127 0.6× 30 1.4k
Alessandro Creazza Italy 18 942 1.4× 293 1.0× 562 2.0× 349 1.4× 117 0.5× 47 1.5k
Arshinder Kaur India 18 797 1.1× 213 0.7× 408 1.5× 112 0.5× 349 1.6× 48 1.5k
Chetna Chauhan India 15 1.0k 1.5× 497 1.7× 269 1.0× 496 2.1× 185 0.9× 21 1.8k
Vinay Surendra Yadav India 17 784 1.1× 217 0.8× 378 1.4× 349 1.4× 305 1.4× 37 1.5k
Ilias Vlachos France 22 724 1.0× 216 0.8× 536 1.9× 245 1.0× 111 0.5× 93 1.6k
Bo Yan China 22 642 0.9× 265 0.9× 566 2.0× 195 0.8× 252 1.2× 115 1.4k
Ilyas Masudin Indonesia 19 519 0.7× 261 0.9× 255 0.9× 144 0.6× 135 0.6× 129 1.2k
Mahak Sharma India 21 845 1.2× 216 0.8× 480 1.7× 341 1.4× 151 0.7× 49 1.6k
Luís Miguel D. F. Ferreira Portugal 22 688 1.0× 181 0.6× 401 1.4× 319 1.3× 142 0.7× 84 1.4k

Countries citing papers authored by Akshit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Akshit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Akshit Singh. A scholar is included among the top collaborators of Akshit 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 Akshit Singh. Akshit Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Mishra, Nishikant, et al.. (2025). Diffusion of digital transformation initiatives in multi-tier supply chains: The double agency role of Tier-1 suppliers. International Journal of Production Economics. 288. 109728–109728. 1 indexed citations
2.
Singh, Akshit, et al.. (2023). Artificial Intelligence Based Fire and Smoke Detection and Security Control System. 1–6. 22 indexed citations
3.
Singh, Akshit, et al.. (2021). Multi-agent architecture for waste minimisation in beef supply chain. Production Planning & Control. 34(11). 1082–1096. 8 indexed citations
4.
Narayanamurthy, Gopalakrishnan, et al.. (2020). Open Innovation Using Satellite Imagery for Initial Site Assessment of Solar Photovoltaic Projects. IEEE Transactions on Engineering Management. 69(2). 338–350. 9 indexed citations
5.
Mangla, Sachin Kumar, Sunil Luthra, Nishikant Mishra, et al.. (2018). Barriers to effective circular supply chain management in a developing country context. Production Planning & Control. 29(6). 551–569. 429 indexed citations breakdown →
6.
Singh, Akshit, et al.. (2018). Big data cloud computing framework for low carbon supplier selection in the beef supply chain. Journal of Cleaner Production. 202. 139–149. 118 indexed citations
7.
Shukla, Nagesh, Nishikant Mishra, & Akshit Singh. (2017). Understanding the Food Supply Chain using Social Media Data Analysis. UTS ePRESS (University of Technology Sydney). 28–34. 1 indexed citations
8.
Singh, Akshit, Nagesh Shukla, & Nishikant Mishra. (2017). Social media data analytics to improve supply chain management in food industries. Transportation Research Part E Logistics and Transportation Review. 114. 398–415. 207 indexed citations
9.
Mishra, Nishikant, Akshit Singh, Nripendra P. Rana, & Yogesh K. Dwivedi. (2017). Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique. Production Planning & Control. 28(11-12). 945–963. 75 indexed citations
10.
Mishra, Nishikant & Akshit Singh. (2016). Use of twitter data for waste minimisation in beef supply chain. Annals of Operations Research. 270(1-2). 337–359. 100 indexed citations
11.
Mishra, Nishikant, Akshit Singh, Sushma Kumari, Kannan Govindan, & Syed Imran Ali. (2016). Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing. International Journal of Production Research. 54(23). 7115–7128. 42 indexed citations
12.
13.
Singh, Akshit, et al.. (2015). Temperature and Precipitation Changes and Possible Threats to Crop Production in Arid, Semi-arid and Tropical Forest Environment. Procedia Environmental Sciences. 29. 26–27. 3 indexed citations
14.
Kumari, Sushma, Akshit Singh, Nishikant Mishra, & Jose Arturo Garza‐Reyes. (2015). A multi-agent architecture for outsourcing SMEs manufacturing supply chain. Robotics and Computer-Integrated Manufacturing. 36. 36–44. 39 indexed citations
15.
Massawe, Festo, Sean Mayes, Acga Cheng, et al.. (2015). The Potential for Underutilised Crops to Improve Food Security in the Face of Climate Change. Procedia Environmental Sciences. 29. 140–141. 40 indexed citations
16.
Mishra, Nishikant, et al.. (2014). A multi-agent architecture for lamb supply chain. International Journal of Intelligent Engineering Informatics. 2(2/3). 195–195. 3 indexed citations
17.
Singh, Akshit, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, & Ravi Shankar. (2014). Cloud computing technology: Reducing carbon footprint in beef supply chain. International Journal of Production Economics. 164. 462–471. 94 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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