Malabika Roy

2.8k citations
54 papers · 609 · h-index 15

Impact in

Papers in

Malabika Roy

49 papers receiving 578 citations

Peers

Malabika Roy
Comparison fields: 5 of 99
  • Fluid Flow and Transfer Processes 52
  • Computational Mechanics 170
  • Modeling and Simulation 25
  • Biomedical Engineering 226
  • Accounting 49
Replace Andrzej Ślęzak with:
Andrzej Ślęzak Poland
Ruben D. Cohen United States
V. Gopalakrishnan India
Amy Cha-Tien Sun United States
B. Alshahrani Saudi Arabia
Qiuyun Wang China
Salah Uddin Pakistan
J. L. Smith United States
Thomas A. Massaro United States
Malabika Roy relative to Andrzej Ślęzak Poland Andrzej Ślęzak's profile →
Citations per field
00.5×10×20×30×40×49×
Andrzej Ślęzak · 1×
Citations per year

Countries citing papers authored by Malabika Roy

Since Specialization
Citations

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

Fields of papers citing papers by Malabika Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201059
2 201841
3 201938
4 201337
5 198535
6 201435
7 201532
8 201030
9 201429
10 201521
11 198620
12 198216
13 201115
14 202014
15 201414
16 198713
17 198112
18 201412
19 202011
20 200810

About Malabika Roy

Malabika Roy is a scholar working on Electrical and Electronic Engineering, Economics and Econometrics, Biomedical Engineering, Finance and Computational Mechanics, having authored 54 papers that have together received 609 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (9 papers), Fluid Dynamics and Turbulent Flows (8 papers), Semiconductor Quantum Structures and Devices (7 papers), Microfinance and Financial Inclusion (6 papers), Advanced Semiconductor Detectors and Materials (6 papers), Banking stability, regulation, efficiency (5 papers), Semiconductor materials and devices (4 papers) and Corporate Finance and Governance (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (52 citations), Computational Mechanics (170 citations), Modeling and Simulation (25 citations), Biomedical Engineering (226 citations) and Accounting (49 citations). Malabika Roy has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include G.C. Shit, B. R. Nag, Shahzad Ahmed, Anjali Jain, A. Sinha, Sirshendu Chaudhuri, Kripasindhu Chaudhuri, Shib Sankar Sana, J.C. Misra and E. Y. K. Ng. Their work appears in journals such as Applied Physics A, Solid-State Electronics, physica status solidi (b), BMJ Open and Journal of Global Health.

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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