Anindya Das

8.8k total citations · 3 hit papers
59 papers, 7.1k citations indexed

About

Anindya Das is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Anindya Das has authored 59 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Materials Chemistry, 34 papers in Atomic and Molecular Physics, and Optics and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Anindya Das's work include Graphene research and applications (47 papers), Quantum and electron transport phenomena (26 papers) and Topological Materials and Phenomena (20 papers). Anindya Das is often cited by papers focused on Graphene research and applications (47 papers), Quantum and electron transport phenomena (26 papers) and Topological Materials and Phenomena (20 papers). Anindya Das collaborates with scholars based in India, Japan and Israel. Anindya Das's co-authors include Anil K. Sood, Andrea C. Ferrari, Simone Pisana, S. Piscanec, Yuval Ronen, Hadas Shtrikman, Moty Heiblum, H. R. Krishnamurthy, Kostya S. Novoselov and Subhankar Saha and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Anindya Das

57 papers receiving 7.0k citations

Hit Papers

Monitoring dopants by Raman scattering in an electrochemi... 2008 2026 2014 2020 2008 2012 2008 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anindya Das India 22 4.9k 2.7k 2.3k 1.7k 1.1k 59 7.1k
Kang L. Wang United States 41 4.9k 1.0× 4.2k 1.5× 3.0k 1.3× 1.5k 0.8× 1.5k 1.4× 150 8.1k
Jinhee Kim South Korea 37 2.9k 0.6× 1.5k 0.6× 2.0k 0.9× 1.2k 0.7× 751 0.7× 210 4.8k
Berend T. Jonker United States 47 6.3k 1.3× 4.3k 1.6× 4.7k 2.1× 1.2k 0.7× 915 0.8× 171 9.7k
Gabino Rubio‐Bollinger Spain 42 3.7k 0.7× 2.1k 0.8× 3.5k 1.6× 1.2k 0.7× 330 0.3× 73 6.0k
Oded Millo Israel 40 3.8k 0.8× 1.8k 0.7× 3.2k 1.4× 957 0.6× 1.5k 1.4× 170 6.3k
Frank Schwierz Germany 30 6.0k 1.2× 1.8k 0.7× 4.7k 2.1× 1.8k 1.0× 972 0.9× 152 8.3k
Roger K. Lake United States 48 4.4k 0.9× 3.0k 1.1× 4.3k 1.9× 1.2k 0.7× 655 0.6× 212 7.7k
Stephan Roche Spain 57 9.6k 2.0× 5.3k 2.0× 4.1k 1.8× 1.3k 0.8× 490 0.4× 233 11.6k
Steven C. Erwin United States 42 6.0k 1.2× 3.7k 1.4× 3.9k 1.7× 1.3k 0.7× 1.0k 0.9× 140 9.5k
Jie Xiang United States 25 2.7k 0.6× 2.0k 0.7× 3.1k 1.4× 3.2k 1.8× 545 0.5× 48 6.1k

Countries citing papers authored by Anindya Das

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Das. A scholar is included among the top collaborators of Anindya Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anindya Das. Anindya Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Watanabe, Kenji, et al.. (2025). Anomalies in G and 2D Raman modes of twisted bilayer graphene near the magic angle. Physical review. B.. 112(4).
3.
Ghosh, Ayan, Souvik Chakraborty, Adhip Agarwala, et al.. (2025). Thermopower probes of emergent local moments in magic-angle twisted bilayer graphene. Nature Physics. 21(5). 732–739. 5 indexed citations
4.
Bera, Krishna Prasad, Takashi Taniguchi, Kenji Watanabe, et al.. (2024). Twist Angle-Dependent Phonon Hybridization in WSe2/WSe2 Homobilayer. ACS Nano. 18(35). 24379–24390. 4 indexed citations
5.
Kumar, Ravi, Saurabh Kumar Srivastav, Kenji Watanabe, et al.. (2024). Absence of heat flow in ν = 0 quantum Hall ferromagnet in bilayer graphene. Nature Physics. 20(12). 1941–1947. 3 indexed citations
6.
Srivastav, Saurabh Kumar & Anindya Das. (2024). Quantized heat flow in graphene quantum Hall phases: Probing the topological order. Modern Physics Letters B. 39(10). 1 indexed citations
7.
Srivastav, Saurabh Kumar, Christian Spånslätt, Kenji Watanabe, et al.. (2024). Electrical noise spectroscopy of magnons in a quantum Hall ferromagnet. Nature Communications. 15(1). 3 indexed citations
8.
Ghosh, Ayan, et al.. (2023). Excitonic metal and non-Fermi liquid behavior in twisted double bilayer graphene near charge neutrality. Physical review. B.. 108(4). 2 indexed citations
9.
Ghosh, Ayan, Souvik Chakraborty, Kenji Watanabe, et al.. (2023). Evidence of compensated semimetal with electronic correlations at charge neutrality of twisted double bilayer graphene. Communications Physics. 6(1). 3 indexed citations
10.
11.
Sahu, Manas Ranjan, Kenji Watanabe, Takashi Taniguchi, et al.. (2020). Anomalous Coulomb Drag between InAs Nanowire and Graphene Heterostructures. Physical Review Letters. 124(11). 116803–116803. 9 indexed citations
12.
Bagwe, Vivas, Pratap Raychaudhuri, Takashi Taniguchi, et al.. (2020). Hall effect for Dirac electrons in graphene exposed to an Abrikosov flux lattice. Europhysics Letters (EPL). 132(3). 37002–37002. 1 indexed citations
13.
Jariwala, Bhakti, et al.. (2018). Probing in-plane anisotropy in few-layer ReS2using low frequency noise measurement. Nanotechnology. 29(14). 145706–145706. 8 indexed citations
14.
Sahu, Manas Ranjan, Xin Liu, Sourin Das, et al.. (2018). Inter-Landau-level Andreev Reflection at the Dirac Point in a Graphene Quantum Hall State Coupled to a NbSe2 Superconductor. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 2019. 2 indexed citations
15.
Saha, Dipankar, et al.. (2017). Photo-tunable transfer characteristics in MoTe2–MoS2 vertical heterostructure. npj 2D Materials and Applications. 1(1). 46 indexed citations
16.
Sahu, Manas Ranjan, Pratap Raychaudhuri, & Anindya Das. (2016). Andreev reflection near the Dirac point at the graphene-NbSe2 junction. Physical review. B.. 94(23). 41 indexed citations
17.
Kumar, Chandan, Biswanath Chakraborty, Satyendra Nath Gupta, et al.. (2015). Probing 2D black phosphorus by quantum capacitance measurements. Nanotechnology. 26(48). 485704–485704. 12 indexed citations
18.
Das, Anindya, Yuval Ronen, Moty Heiblum, et al.. (2012). High-efficiency Cooper pair splitting demonstrated by two-particle conductance resonance and positive noise cross-correlation. Nature Communications. 3(1). 1165–1165. 181 indexed citations
19.
Chakraborty, Biswanath, Anindya Das, & Anil K. Sood. (2009). The formation of a p–n junction in a polymer electrolyte top-gated bilayer graphene transistor. Nanotechnology. 20(36). 365203–365203. 19 indexed citations
20.
Varghese, Neenu, Umesha Mogera, A. Govindaraj, et al.. (2008). Binding of DNA Nucleobases and Nucleosides with Graphene. ChemPhysChem. 10(1). 206–210. 464 indexed citations

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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