Deepankar Sinha

615 citations
42 papers · 463 · h-index 11

Impact in

Papers in

Deepankar Sinha

35 papers receiving 440 citations

Peers

Deepankar Sinha
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 83
  • Industrial and Manufacturing Engineering 84
  • Management Information Systems 54
  • Strategy and Management 77
  • Obstetrics and Gynecology 28
Replace Sudhir Jain with:
Sudhir Jain India
Bao Xi China
Gary Fetter United States
Luca Persico Italy
Keun-Sik Park Japan
S. Ping Ho Taiwan
Jane Paunković Serbia
J Sun United States
Bernd Wagner Germany
Chien-Te Fan Taiwan
Deepankar Sinha relative to Sudhir Jain India Sudhir Jain's profile →
Citations per field
00.5×10.5×
Sudhir Jain · 1×
Citations per year

Countries citing papers authored by Deepankar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Deepankar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998126
2 201654
3 202134
4 201830
5 202024
6 202122
7 201921
8 202018
9 201616
10 201612
11 201911
12 202210
13 201910
14 202010
15 20179
16 20187
17
The Multimodal Transportation: Research Trend and Literature Review
20165
18 20205
19 20205
20 20184

About Deepankar Sinha

Deepankar Sinha is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management, Management Information Systems, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 42 papers that have together received 463 indexed citations. Recurring topics across this work include Maritime Ports and Logistics (13 papers), Global trade and economics (6 papers), Law, logistics, and international trade (5 papers), Urban and Freight Transport Logistics (5 papers), Supply Chain Resilience and Risk Management (5 papers), Artificial Intelligence in Healthcare (4 papers), Global Trade and Competitiveness (4 papers) and Sustainable Supply Chain Management (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (83 citations), Industrial and Manufacturing Engineering (84 citations), Management Information Systems (54 citations), Strategy and Management (77 citations) and Obstetrics and Gynecology (28 citations). Deepankar Sinha has collaborated with scholars based in India and United States. Frequent co-authors include P.G. Whittaker, C. J. Homko, G. Boden, Eyal Sivan, E. Albert Reece, Maria E. Cabanillas, Brian P. Danysh, Gilbert J. Cote, Marie‐Claude Hofmann and Anirban Das. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Oncotarget, Neoplasia, Energy Efficiency and International Journal of Quality & Reliability Management.

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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