Malabika Roy

2.7k citations
49 papers · 570 · h-index 14

Impact in

Papers in

Malabika Roy

45 papers receiving 544 citations

Peers

Malabika Roy
Comparison fields: 5 of 107
  • Fluid Flow and Transfer Processes 52
  • Computational Mechanics 170
  • Biomedical Engineering 223
  • Modeling and Simulation 22
  • Accounting 43
Replace Ruben D. Cohen with:
Ruben D. Cohen United States
Andrzej Ślęzak Poland
Amy Cha-Tien Sun United States
Salah Uddin Pakistan
Juwei Zhang China
J. L. Smith United States
Steven P. Nichols United States
Dan Yu China
Thomas A. Massaro United States
Chen Jiang China
Malabika Roy relative to Ruben D. Cohen United States Ruben D. Cohen's profile →
Citations per field
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201057
2 201837
3 201937
4 201334
5 201433
6 198533
7 201530
8 201030
9 201427
10 201521
11 198619
12 201414
13 201114
14 198214
15 202013
16 201412
17 198712
18 198111
19 202010
20
Inter-industry differences in capital structure: Evidence from India
201210

About Malabika Roy

Malabika Roy is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Economics and Econometrics, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 570 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), Advanced Semiconductor Detectors and Materials (6 papers), Microfinance and Financial Inclusion (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (4 papers) and Banking stability, regulation, efficiency (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (52 citations), Computational Mechanics (170 citations), Biomedical Engineering (223 citations), Modeling and Simulation (22 citations) and Accounting (43 citations). Malabika Roy has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include G.C. Shit, B. R. Nag, Shahzad Ahmed, A. Sinha, Sirshendu Chaudhuri, Anjali Jain, Kripasindhu Chaudhuri, Shib Sankar Sana, E. Y. K. Ng and Subarna Maiti. Their work appears in journals such as Applied Physics A, Solid-State Electronics, Alexandria Engineering Journal, International Review of Economics & Finance and Journal of Environmental Informatics.

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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