Arpit Singh

34 papers receiving 494 citations

Peers

Arpit Singh
Comparison fields: 5 of 86
  • Health Informatics 29
  • Radiological and Ultrasound Technology 74
  • Medical Laboratory Technology 18
  • Management Information Systems 115
  • Strategy and Management 148
Replace Carlos Eduardo Sanches da Silva with:
Carlos Eduardo Sanches da Silva Brazil
Sajani Jayasuriya Australia
Jos A.C. Bokhorst Netherlands
Tharaka de Vass Australia
Paulo Ávila Portugal
Kevin Watson United States
Sergio Luna United States
Alireza Pooya Iran
Rémy Houssin France
Marcos Singer Chile
Arpit Singh relative to Carlos Eduardo Sanches da Silva Brazil Carlos Eduardo Sanches da Silva's profile →
Citations per field
00.5×8.2×
Carlos Eduardo Sanches da Silva · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202390
2 202056
3 202339
4 201538
5 202328
6 202226
7 202223
8 202222
9 202022
10 202118
11 202317
12 202016
13 202314
14 202112
15 202411
16 202011
17 202310
18 20249
19 20249
20 20249

About Arpit Singh

Arpit Singh is a scholar working on Strategy and Management, Management Information Systems, Building and Construction, Industrial and Manufacturing Engineering and Radiological and Ultrasound Technology, having authored 36 papers that have together received 528 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (8 papers), Supply Chain Resilience and Risk Management (7 papers), Digital Transformation in Industry (5 papers), Occupational Health and Safety Research (5 papers), Quality and Supply Management (5 papers), Risk and Safety Analysis (4 papers), Sustainable Building Design and Assessment (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Health Informatics (29 citations), Radiological and Ultrasound Technology (74 citations), Medical Laboratory Technology (18 citations), Management Information Systems (115 citations) and Strategy and Management (148 citations). Arpit Singh has collaborated with scholars based in India, Taiwan and Lebanon. Frequent co-authors include Vimal Kumar, Subhas Chandra Misra, Rohit Raj, Pratima Verma, Pratima Verma, Ashish Dwivedi, Anuradha Purohit, Dindayal Agrawal, Ankesh Mittal and Anurag Chauhan. Their work appears in journals such as International Journal of Quality & Reliability Management, Construction Innovation, Business Strategy and the Environment, The TQM Journal and Safety Science.

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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