Arun Majumdar

68.5k citations
337 papers · 54.0k indexed · 21 hit papers · h-index 102

Arun Majumdar

325 papers receiving 52.7k citations

Hit Papers

Coloured l...18619902026200220142.5k5.0k7.5k10.0k

Peers

Arun Majumdar
Comparison fields: 5 of 194
  • Materials Chemistry 29.6k
  • Civil and Structural Engineering 10.6k
  • Renewable Energy, Sustainability and the Environment 6.5k
  • Electrical and Electronic Engineering 17.5k
  • Biomedical Engineering 12.3k
Replace Gang Chen with:
Gang Chen United States
Jin Zou Australia
Alexander A. Balandin United States
Vinayak P. Dravid United States
Alex Zettl United States
M. S. Dresselhaus United States
Steven J. Plimpton United States
James Hone United States
Zhi‐Gang Chen China
Philip Kim United States
Arun Majumdar relative to Gang Chen United States Gang Chen's profile →
Citations per field
00.5×1.5×
Gang Chen · 1×
Citations per year

Countries citing papers authored by Arun Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20250
5 20250
6 20243
7 202418
8 20241
9 20241
10 20246
11 202315
12 20221
13 202112
14 20212
15 20215
16 20206
17
Biologically-Inspired Selective and Sensitive Trinitrotoluene Sensors Using Conjugated Lipid-like Polymer Nanocoatings for CNT-FET Sensors
20111
18 200884
19
TED-AJ03-406 TRANSPORT OF BIOMOLECULES IN THE RATCHETING ELECTROPHORESIS MICROCHIP (REM)
20031
20
Microscale energy transport
1998267

About Arun Majumdar

Arun Majumdar is a scholar working on Nuclear Energy and Engineering, Materials Chemistry and Structural Biology, having authored 337 papers that have together received 54.0k indexed citations. Recurring topics across this work include Thermal properties of materials (116 papers), Advanced Thermoelectric Materials and Devices (76 papers), Force Microscopy Techniques and Applications (66 papers), Thermal Radiation and Cooling Technologies (55 papers), Mechanical and Optical Resonators (44 papers), Carbon Nanotubes in Composites (25 papers), Nanopore and Nanochannel Transport Studies (23 papers) and Thermography and Photoacoustic Techniques (20 papers). The work is most often cited by research in Materials Chemistry (29.6k citations), Civil and Structural Engineering (10.6k citations) and Renewable Energy, Sustainability and the Environment (6.5k citations). Arun Majumdar has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Steven Chu, Li Shi, Peidong Yang, Philip Kim, Bharat Bhushan, Deyu Li, Paul L. McEuen, Rachel A. Segalman, Renkun Chen and David G. Cahill. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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