Shohin Aheleroff

1.4k citations
10 papers · 948 indexed · 1 hit paper · h-index 7
Topics
Digital Transformation in Industry (8 papers)Big Data and Business Intelligence (2 papers)Manufacturing Process and Optimization (2 papers)
Journals
Advanced Engineering InformaticsMachinesResearchSpace (University of Auckland)

In The Last Decade

Shohin Aheleroff

10 papers receiving 910 citations

Hit Papers

Digital Twin as a Service (DTaaS) in Industry 4.0: An Arc...20202026202220242020100200300400

Peers

Shohin Aheleroff
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 652
  • Computer Networks and Communications 107
  • Management of Technology and Innovation 105
  • Strategy and Management 91
  • Information Systems 91
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Citations per year

Countries citing papers authored by Shohin Aheleroff

Since Specialization
Citations

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

Fields of papers citing papers by Shohin Aheleroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohin Aheleroff

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 4
3 118
4 93
5 197
6
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Modelbreakdown →
418
7 15
8 51
9 46
10
Customer segmentation for a mobile telecommunications company based on service usage behavior
2

About Shohin Aheleroff

Shohin Aheleroff is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Marketing, having authored 10 papers that have together received 948 indexed citations. Recurring topics across this work include Digital Transformation in Industry (8 papers), Big Data and Business Intelligence (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (652 citations), Management of Technology and Innovation (105 citations) and Management Information Systems (83 citations). Shohin Aheleroff has collaborated with scholars based in New Zealand, Hong Kong and United Kingdom. Frequent co-authors include Xun Xu, Ray Y. Zhong, Yuqian Lu, Huiyue Huang, Mauricio Aristizábal and Zhenan Feng. Their work appears in journals such as Advanced Engineering Informatics, Machines and ResearchSpace (University of Auckland).

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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