Debraj Das

591 total citations
28 papers, 331 citations indexed

About

Debraj Das is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Debraj Das has authored 28 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Statistical and Nonlinear Physics and 5 papers in Molecular Biology. Recurrent topics in Debraj Das's work include Diffusion and Search Dynamics (5 papers), Acute Myocardial Infarction Research (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Debraj Das is often cited by papers focused on Diffusion and Search Dynamics (5 papers), Acute Myocardial Infarction Research (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Debraj Das collaborates with scholars based in India, Canada and United Kingdom. Debraj Das's co-authors include Lindsey M. Warkentin, Sumit R. Majumdar, Jeffrey Johnson, Raj Padwal, Shamik Gupta, Luca Giuggioli, Sushanta Dattagupta, Justin A. Ezekowitz, Bhabani P. Sinha and Soumendra N. Lahiri and has published in prestigious journals such as Physical Review Letters, Biometrika and The Annals of Statistics.

In The Last Decade

Debraj Das

28 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debraj Das India 9 59 56 53 50 44 28 331
Suzanne Cuda United States 12 75 1.3× 14 0.3× 18 0.3× 108 2.2× 42 1.0× 21 303
Rachit M. Vakil United States 8 139 2.4× 36 0.6× 96 1.8× 133 2.7× 119 2.7× 12 419
Barbara Błońska‐Fajfrowska Poland 14 81 1.4× 26 0.5× 53 1.0× 59 1.2× 14 0.3× 83 494
Hardeep Uppal United Kingdom 15 52 0.9× 125 2.2× 70 1.3× 67 1.3× 6 0.1× 46 730
Min-Wei Huang Taiwan 9 39 0.7× 26 0.5× 40 0.8× 59 1.2× 6 0.1× 14 350
Anthony Lin United States 7 24 0.4× 38 0.7× 71 1.3× 67 1.3× 11 0.3× 16 433
Shyh‐Huei Chen United States 11 121 2.1× 15 0.3× 71 1.3× 44 0.9× 9 0.2× 32 390
Eun-Young Choi South Korea 9 91 1.5× 13 0.2× 34 0.6× 80 1.6× 20 0.5× 35 484
Tongtong Wang United States 13 28 0.5× 14 0.3× 36 0.7× 120 2.4× 62 1.4× 25 595

Countries citing papers authored by Debraj Das

Since Specialization
Citations

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

Fields of papers citing papers by Debraj Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debraj Das

This figure shows the co-authorship network connecting the top 25 collaborators of Debraj Das. A scholar is included among the top collaborators of Debraj 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 Debraj Das. Debraj 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.
Das, Debraj, et al.. (2025). Run-and-Tumble Exact Work Statistics in a Lazy Quantum Measurement Engine: Stochastic Information Processing. Physical Review Letters. 134(20). 200402–200402. 2 indexed citations
2.
Das, Debraj, et al.. (2025). First-passage-time asymmetry for biased run-and-tumble processes. Journal of Physics A Mathematical and Theoretical. 58(49). 495002–495002. 1 indexed citations
3.
Das, Debraj, et al.. (2024). On the area swept by a biased diffusion till its first-exit time: martingale approach and gambling opportunities. Indian Journal of Physics. 98(11). 3823–3835. 2 indexed citations
4.
Diepen, Sean van, Debraj Das, Hölger Thiele, et al.. (2024). Reperfusion in Patients With ST-Segment–Elevation Myocardial Infarction With Cardiogenic Shock and Prolonged Interhospital Transport Times. Circulation Cardiovascular Interventions. 17(2). e013415–e013415. 2 indexed citations
5.
Das, Debraj & Luca Giuggioli. (2023). Dynamics of lattice random walk within regions composed of different media and interfaces. Journal of Statistical Mechanics Theory and Experiment. 2023(1). 13201–13201. 7 indexed citations
6.
7.
Das, Debraj & Shamik Gupta. (2022). Quantum random walk and tight-binding model subject to projective measurements at random times. Journal of Statistical Mechanics Theory and Experiment. 2022(3). 33212–33212. 9 indexed citations
8.
Dattagupta, Sushanta, Debraj Das, & Shamik Gupta. (2022). Stochastic resets in the context of a tight-binding chain driven by an oscillating field. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103210–103210. 8 indexed citations
9.
Das, Debraj, Sushanta Dattagupta, & Shamik Gupta. (2022). Quantum unitary evolution interspersed with repeated non-unitary interactions at random times: the method of stochastic Liouville equation, and two examples of interactions in the context of a tight-binding chain. Journal of Statistical Mechanics Theory and Experiment. 2022(5). 53101–53101. 15 indexed citations
10.
Das, Debraj, Anamaria Savu, Kevin R. Bainey, Robert C. Welsh, & Padma Kaul. (2020). Temporal Trends in in-Hospital Bleeding and Transfusion in a Contemporary Canadian ST-Elevation Myocardial Infarction Patient Population. CJC Open. 3(4). 479–487. 2 indexed citations
11.
Yamaguchi, Yoshiyuki Y., Debraj Das, & Shamik Gupta. (2019). Critical exponents in mean-field classical spin systems. Physical review. E. 100(3). 32131–32131. 1 indexed citations
12.
Das, Debraj, et al.. (2019). Reconstructing bifurcation behavior of a nonlinear dynamical system by introducing weak noise. Communications in Nonlinear Science and Numerical Simulation. 72. 575–585. 2 indexed citations
13.
Das, Debraj & Soumendra N. Lahiri. (2019). Distributional consistency of the lasso by perturbation bootstrap. Biometrika. 106(4). 957–964. 1 indexed citations
14.
Das, Debraj & Shamik Gupta. (2018). Exact correlations in the nonequilibrium stationary state of the noisy Kuramoto model. Journal of Physics A Mathematical and Theoretical. 51(44). 445003–445003. 1 indexed citations
15.
Das, Debraj, Gianluigi Savarese, Ulf Dahlström, et al.. (2017). Ivabradine in Heart Failure. Circulation Heart Failure. 10(9). 17 indexed citations
16.
Das, Debraj & Brent M McGrath. (2016). Sgarbossa criteria for acute myocardial infarction. Canadian Medical Association Journal. 188(15). E395–E395. 2 indexed citations
17.
Das, Debraj, et al.. (2016). Wellens syndrome. Canadian Medical Association Journal. 188(7). 529–529. 1 indexed citations
18.
Das, Debraj, Jeffrey A. Bakal, Cynthia M. Westerhout, et al.. (2014). The association between meteorological events and acute heart failure: New insights from ASCEND-HF. International Journal of Cardiology. 177(3). 819–824. 8 indexed citations
19.
Das, Debraj, Yuling Fu, Yinggan Zheng, et al.. (2012). Baseline Q waves as a prognostic modulator in patients with ST-segment elevation: insights from the PLATO trial. Canadian Medical Association Journal. 184(10). 1135–1142. 20 indexed citations
20.
De, Mallika, et al.. (1997). An efficient sorting algorithm on the multi-mesh network. IEEE Transactions on Computers. 46(10). 1132–1137. 14 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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