Subhashish Banerjee

2.7k total citations
131 papers, 1.8k citations indexed

About

Subhashish Banerjee is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Subhashish Banerjee has authored 131 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Atomic and Molecular Physics, and Optics, 87 papers in Artificial Intelligence and 37 papers in Statistical and Nonlinear Physics. Recurrent topics in Subhashish Banerjee's work include Quantum Information and Cryptography (86 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (49 papers). Subhashish Banerjee is often cited by papers focused on Quantum Information and Cryptography (86 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (49 papers). Subhashish Banerjee collaborates with scholars based in India, Czechia and Canada. Subhashish Banerjee's co-authors include R. Srikanth, C. M. Chandrashekar, Ashutosh Kumar Alok, R. Ghosh, Anirban Pathak, S. Uma Sankar, Kishore Thapliyal, Sibasish Ghosh, George Thomas and Samyadeb Bhattacharya and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Subhashish Banerjee

125 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhashish Banerjee India 25 1.2k 1.2k 426 213 83 131 1.8k
Robert Sims United States 18 705 0.6× 233 0.2× 324 0.8× 67 0.3× 75 0.9× 67 1.3k
Liang Kong China 21 746 0.6× 151 0.1× 187 0.4× 197 0.9× 26 0.3× 48 1.4k
W. van Dijk Canada 16 485 0.4× 144 0.1× 125 0.3× 195 0.9× 71 0.9× 75 824
Lídia del Rio Switzerland 7 298 0.2× 324 0.3× 298 0.7× 25 0.1× 35 0.4× 12 626
Amit Dutta India 28 2.4k 2.0× 559 0.5× 778 1.8× 30 0.1× 22 0.3× 101 2.7k
S. Uchaikin Germany 15 445 0.4× 358 0.3× 28 0.1× 155 0.7× 23 0.3× 48 757
Yuan Xu China 20 1.0k 0.9× 990 0.8× 175 0.4× 11 0.1× 135 1.6× 63 1.7k
André Martínez France 17 336 0.3× 46 0.0× 386 0.9× 30 0.1× 201 2.4× 89 1.3k
Chang‐shui Yu China 25 1.5k 1.2× 1.3k 1.1× 296 0.7× 14 0.1× 6 0.1× 112 1.7k
Francesca Albertini Italy 16 236 0.2× 343 0.3× 140 0.3× 25 0.1× 52 0.6× 52 815

Countries citing papers authored by Subhashish Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhashish Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashish Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashish Banerjee. A scholar is included among the top collaborators of Subhashish Banerjee 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 Subhashish Banerjee. Subhashish Banerjee 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.
Yadav, Mukesh, et al.. (2025). (Thermo‐)Dynamics of the Spin‐Boson Model in the Weak Coupling Regime: Application as a Quantum Battery. Advanced Quantum Technologies. 1 indexed citations
2.
Banerjee, Subhashish, et al.. (2025). Strong coupling non-Markovian quantum thermodynamics of a finite-bath system. The Journal of Chemical Physics. 162(11). 7 indexed citations
3.
Banerjee, Subhashish, et al.. (2024). Protecting quantum correlations of negative quantum states using weak measurement under non-Markovian noise. Physica Scripta. 99(3). 35116–35116. 3 indexed citations
4.
Srikanth, R., et al.. (2024). Concatenating quantum error-correcting codes with decoherence-free subspaces and vice versa. Physical review. A. 109(6). 1 indexed citations
5.
Banerjee, Subhashish, et al.. (2024). Quantum Speed Limit and Nonclassicality in Open Quantum System Models Using the Wigner Function. Annalen der Physik. 537(3). 1 indexed citations
6.
Dash, Nihar Ranjan, et al.. (2024). Facets of Correlated Non‐Markovian Channels. Annalen der Physik. 536(10). 3 indexed citations
7.
Banerjee, Subhashish, et al.. (2023). A study of the quasi-probability distributions of the Tavis–Cummings model under different quantum channels. Annals of Physics. 455. 169390–169390.
8.
Banerjee, Subhashish, et al.. (2023). Toward Realization of Universal Quantum Teleportation Using Weak Measurements. Annalen der Physik. 536(4). 3 indexed citations
9.
Banerjee, Subhashish, et al.. (2023). Thermodynamics of one and two-qubit nonequilibrium heat engines running between squeezed thermal reservoirs. Physica A Statistical Mechanics and its Applications. 623. 128832–128832. 15 indexed citations
10.
Banerjee, Subhashish, et al.. (2023). Characterization of quantumness of non-Gaussian states under the influence of Gaussian channel. Quantum Information Processing. 22(8). 3 indexed citations
11.
Banerjee, Subhashish, et al.. (2023). Impact of non-Markovian evolution on characterizations of quantum thermodynamics. SHILAP Revista de lepidopterología. 2. 7 indexed citations
12.
Banerjee, Subhashish, et al.. (2023). Qudit states in noisy quantum channels. Physica Scripta. 98(11). 115113–115113. 5 indexed citations
13.
Banerjee, Subhashish, et al.. (2022). Quantum speed limit time: role of coherence. Journal of Physics A Mathematical and Theoretical. 55(50). 505302–505302. 8 indexed citations
14.
Piilo, Jyrki, et al.. (2022). Experimental snapshot verification of non-Markovianity by quantum probing of convex coefficients. Physical review. A. 106(3). 4 indexed citations
15.
Banerjee, Subhashish, et al.. (2022). Thermal radiation in curved spacetime using influence functional formalism. Physical review. D. 105(4). 1 indexed citations
16.
Banerjee, Subhashish, et al.. (2021). Exploring the extent of validity of quantum work fluctuation theorems in the presence of weak measurements. Quantum Information Processing. 20(11). 5 indexed citations
17.
Piilo, Jyrki, et al.. (2020). Experimental quantum probing measurements with no knowledge of the system-probe interaction. Physical review. A. 102(2). 5 indexed citations
18.
Srikanth, R., et al.. (2020). Temporal self-similarity of quantum dynamical maps as a concept of memorylessness. Scientific Reports. 10(1). 15049–15049. 36 indexed citations
19.
Thomas, George, et al.. (2018). Thermodynamics of non-Markovian reservoirs and heat engines. Physical review. E. 97(6). 62108–62108. 74 indexed citations
20.
Banerjee, Subhashish & Abhishek Dhar. (2006). Classical limit of master equation for a harmonic oscillator coupled to an oscillator bath with separable initial conditions. Physical Review E. 73(6). 67104–67104. 2 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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