Arpit Singh

28 papers receiving 399 citations

Peers

Arpit Singh
Comparison fields: 5 of 84
  • Health Informatics 25
  • Radiological and Ultrasound Technology 66
  • Management Information Systems 105
  • Medical Laboratory Technology 16
  • Strategy and Management 140
Replace Carlos Eduardo Sanches da Silva with:
Carlos Eduardo Sanches da Silva Brazil
Antonio Cimino Italy
Alireza Pooya Iran
Shigeo Shingo
Kevin Watson United States
Sajani Jayasuriya Australia
Ana Paula Henriques de Gusmão Brazil
Tharaka de Vass Australia
Sergio Luna United States
Gülin Feryal Can Türkiye
Arpit Singh relative to Carlos Eduardo Sanches da Silva Brazil Carlos Eduardo Sanches da Silva's profile →
Citations per field
00.5×8.3×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202375
2 202050
3 201536
4 202330
5 202226
6 202325
7 202222
8 202021
9 202219
10 202117
11 202015
12 202314
13 202111
14 202310
15 20249
16 20239
17 20247
18 20146
19 20226
20 20246

About Arpit Singh

Arpit Singh is a scholar working on Strategy and Management, Management Information Systems, Radiological and Ultrasound Technology, Management Science and Operations Research and Building and Construction, having authored 32 papers that have together received 443 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (8 papers), Supply Chain Resilience and Risk Management (7 papers), Quality and Supply Management (5 papers), Occupational Health and Safety Research (5 papers), Risk and Safety Analysis (4 papers), Sustainable Building Design and Assessment (4 papers), Blockchain Technology Applications and Security (3 papers) and Construction Project Management and Performance (3 papers). The work is most often cited by research in Health Informatics (25 citations), Radiological and Ultrasound Technology (66 citations), Management Information Systems (105 citations), Medical Laboratory Technology (16 citations) and Strategy and Management (140 citations). Arpit Singh has collaborated with scholars based in India, Taiwan and United States. Frequent 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. Their work appears in journals such as International Journal of Quality & Reliability Management, Construction Innovation, Business Strategy and the Environment, Safety Science and Cleaner Logistics and Supply Chain.

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.

Explore authors with similar magnitude of impact