Shumank Deep

24 papers receiving 271 citations

Peers

Shumank Deep
Comparison fields: 5 of 66
  • Management Science and Operations Research 143
  • Radiological and Ultrasound Technology 41
  • Building and Construction 88
  • Management Information Systems 55
  • Strategy and Management 79
Replace Aguinaldo dos Santos with:
Aguinaldo dos Santos Brazil
Xiaolong Xue China
Abdullatif Abdallah Saudi Arabia
Carsten Glenting United Kingdom
Jason Gray Australia
A.M. Echeverría Spain
Pushpitha Kalutara Australia
Wajiha Shahzad New Zealand
Hee Sung South Korea
Jerzy Pasławski Poland
Shumank Deep relative to Aguinaldo dos Santos Brazil Aguinaldo dos Santos's profile →
Citations per field
00.5×3.4×
Aguinaldo dos Santos · 1×
Citations per year

Countries citing papers authored by Shumank Deep

Since Specialization
Citations

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

Fields of papers citing papers by Shumank Deep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Shumank Deep, 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 Shumank Deep Line = papers co-authored together Shumank Deep links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202248
3 202024
4 202216
5 202215
6 202115
7 201714
8 202312
9 202311
10 20248
11 20228
12 20158
13 20227
14 20186
15 20146
16 20174
17 20183
18 20252
19 20242
20 20172

About Shumank Deep

Shumank Deep is a scholar working on Management Science and Operations Research, Strategy and Management, Management Information Systems, Radiological and Ultrasound Technology and Building and Construction, having authored 27 papers that have together received 282 indexed citations. Recurring topics across this work include Construction Project Management and Performance (16 papers), Occupational Health and Safety Research (6 papers), Outsourcing and Supply Chain Management (5 papers), Quality and Supply Management (5 papers), Supply Chain Resilience and Risk Management (5 papers), BIM and Construction Integration (5 papers), Public Procurement and Policy (4 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Management Science and Operations Research (143 citations), Radiological and Ultrasound Technology (41 citations), Building and Construction (88 citations), Management Information Systems (55 citations) and Strategy and Management (79 citations). Shumank Deep has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include Marcus Jefferies, Thayaparan Gajendran, Nikolai Vatin, Saurav Dixit, Deepak Singh, Mohammed Asim, Kumar Neeraj Jha, Abdul Ahad, Amit Kumar and Georges Samara. Their work appears in journals such as Journal of Construction Engineering and Management, Engineering Construction & Architectural Management, Journal of Infrastructure Systems, Indian Journal of Science and Technology 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