Supratim Das

1.3k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

Supratim Das is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Supratim Das has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Automotive Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Supratim Das's work include Advanced Battery Materials and Technologies (10 papers), Advancements in Battery Materials (10 papers) and Advanced Battery Technologies Research (8 papers). Supratim Das is often cited by papers focused on Advanced Battery Materials and Technologies (10 papers), Advancements in Battery Materials (10 papers) and Advanced Battery Technologies Research (8 papers). Supratim Das collaborates with scholars based in United States, India and United Kingdom. Supratim Das's co-authors include Martin Z. Bazant, William C. Chueh, Tao Gao, Peter M. Attia, Ju Li, Han Yu, Dimitrios Fraggedakis, Shengming Xu, Tingtao Zhou and Stephen J. Harris and has published in prestigious journals such as Nature Communications, Nano Letters and Energy & Environmental Science.

In The Last Decade

Supratim Das

19 papers receiving 983 citations

Hit Papers

Interplay of Lithium Intercalation and Plating on a Singl... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supratim Das United States 11 902 754 70 69 56 19 1.0k
Peter J. Weddle United States 16 690 0.8× 559 0.7× 94 1.3× 69 1.0× 56 1.0× 56 833
Ratnakumar Bugga United States 17 1.0k 1.1× 641 0.9× 100 1.4× 131 1.9× 100 1.8× 56 1.1k
Xile Han China 17 840 0.9× 355 0.5× 16 0.2× 90 1.3× 38 0.7× 33 1.0k
Marco Ragone United States 9 495 0.5× 378 0.5× 41 0.6× 71 1.0× 27 0.5× 19 603
Ajaykrishna Ramasubramanian United States 9 661 0.7× 492 0.7× 42 0.6× 83 1.2× 48 0.9× 18 767
Julia S. Weaving United Kingdom 12 800 0.9× 618 0.8× 127 1.8× 94 1.4× 104 1.9× 15 933
Handong Gui United States 19 1.0k 1.1× 233 0.3× 71 1.0× 41 0.6× 48 0.9× 43 1.1k
Larry Whitcanack United States 16 983 1.1× 755 1.0× 33 0.5× 27 0.4× 180 3.2× 49 1.1k
Alexander Lochbaum United States 9 567 0.6× 434 0.6× 10 0.1× 48 0.7× 193 3.4× 14 870
Ross Drummond United Kingdom 11 216 0.2× 181 0.2× 29 0.4× 30 0.4× 100 1.8× 45 403

Countries citing papers authored by Supratim Das

Since Specialization
Citations

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

Fields of papers citing papers by Supratim Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supratim Das

This figure shows the co-authorship network connecting the top 25 collaborators of Supratim Das. A scholar is included among the top collaborators of Supratim 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 Supratim Das. Supratim Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Lu, Xuekun, Marco Lagnoni, Antonio Bertei, et al.. (2023). Multiscale dynamics of charging and plating in graphite electrodes coupling operando microscopy and phase-field modelling. Nature Communications. 14(1). 5127–5127. 74 indexed citations
2.
Jana, Aniruddha, et al.. (2022). Physics-based, reduced order degradation model of lithium-ion batteries. Journal of Power Sources. 545. 231900–231900. 25 indexed citations
3.
Das, Supratim, et al.. (2021). Enabling a Stable High-Power Lithium-Bromine Flow Battery Using Task-Specific Ionic Liquids. Journal of The Electrochemical Society. 168(7). 70542–70542. 12 indexed citations
4.
Berliner, Marc D., Hongbo Zhao, Supratim Das, et al.. (2021). Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries. Journal of The Electrochemical Society. 168(9). 90546–90546. 31 indexed citations
5.
Jiang, Benben, William E. Gent, Fabian Mohr, et al.. (2021). Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols. Joule. 5(12). 3187–3203. 89 indexed citations
6.
Gao, Tao, Han Yu, Dimitrios Fraggedakis, et al.. (2021). Interplay of Lithium Intercalation and Plating on a Single Graphite Particle. Joule. 5(2). 393–414. 293 indexed citations breakdown →
7.
Finegan, Donal P., David S. Wragg, Andrew M. Colclasure, et al.. (2020). Spatial dynamics of lithiation and lithium plating during high-rate operation of graphite electrodes. Energy & Environmental Science. 13(8). 2570–2584. 173 indexed citations
8.
Das, Supratim & Martin Z. Bazant. (2020). Electrochemical Kinetics of Graphite Degradation in Lithium-Ion Batteries. ECS Meeting Abstracts. MA2020-02(1). 110–110. 1 indexed citations
9.
Attia, Peter M., Supratim Das, Stephen J. Harris, Martin Z. Bazant, & William C. Chueh. (2019). Electrochemical kinetics of sei growth on Carbon Black: Part I. experiments. DSpace@MIT (Massachusetts Institute of Technology). 98 indexed citations
10.
Huang, William, Peter M. Attia, Hansen Wang, et al.. (2019). Evolution of the Solid–Electrolyte Interphase on Carbonaceous Anodes Visualized by Atomic-Resolution Cryogenic Electron Microscopy. Nano Letters. 19(8). 5140–5148. 166 indexed citations
11.
Das, Supratim, et al.. (2017). A model of wetting of partially wettable porous solids by thin liquid films. Chemical Engineering Journal. 320. 104–115. 8 indexed citations
12.
Das, Supratim, et al.. (2016). AKNS Formalism and Exact Solutions of KdV and Modified KdV Equations with Variable-Coefficients. 6. 32–41. 3 indexed citations
13.
Srivastava, Saket, et al.. (2016). Energy Detection Based Dynamic Spectrum Sensing for 2.4GHz ISM Band. 50. 255–260. 2 indexed citations
14.
Srivastava, Saket, et al.. (2015). Real-time blind spectrum sensing using USRP. 986–989. 4 indexed citations
15.
Das, Supratim, et al.. (2015). A low overhead dynamic memory management system for constrained memory embedded systems. 809–815. 1 indexed citations
16.
Bagchi, Bijan, Supratim Das, Samiran Ghosh, & Swarup Poria. (2013). Reply to Comment on ‘Nonlinear dynamics of a position-dependent mass-driven Duffing-type oscillator’. Journal of Physics A Mathematical and Theoretical. 46(36). 368002–368002. 3 indexed citations
17.
Bagchi, Bijan, Supratim Das, Samiran Ghosh, & Swarup Poria. (2012). Nonlinear dynamics of a position-dependent mass-driven Duffing-type oscillator. Journal of Physics A Mathematical and Theoretical. 46(3). 32001–32001. 24 indexed citations
18.
Bagchi, Bijan, et al.. (2010). New exact solutions of a generalized shallow water wave equation. Physica Scripta. 82(2). 25003–25003. 9 indexed citations
19.
Mitra, N. K., et al.. (2002). Effect of CeO2 on the sintering behaviour of zirconia–alumina composite. Ceramics International. 28(8). 827–833. 12 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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