Jean Michel Sellier

628 total citations
45 papers, 360 citations indexed

About

Jean Michel Sellier is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jean Michel Sellier has authored 45 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 14 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Jean Michel Sellier's work include Quantum and electron transport phenomena (16 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (7 papers). Jean Michel Sellier is often cited by papers focused on Quantum and electron transport phenomena (16 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Cold Atom Physics and Bose-Einstein Condensates (7 papers). Jean Michel Sellier collaborates with scholars based in Bulgaria, Austria and United States. Jean Michel Sellier's co-authors include Ivan Dimov, Mihail Nedjalkov, S. Selberherr, Sylvain Maire, Vittorio Romano, Dragica Vasileska, Giovanni Mascali, S. Pennisi, Jun Yan and Sihong Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jean Michel Sellier

39 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Michel Sellier Bulgaria	12	203	92	84	51	38	45	360
Marc Vuffray United States	9	39 0.2×	65 0.7×	81 1.0×	31 0.6×	6 0.2×	26	245
Roel Van Beeumen United States	14	169 0.8×	58 0.6×	153 1.8×	72 1.4×	13 0.3×	41	462
F. Castella France	13	162 0.8×	52 0.6×	21 0.3×	116 2.3×	8 0.2×	23	444
Shao‐Liang Zhang Japan	9	109 0.5×	38 0.4×	39 0.5×	23 0.5×	8 0.2×	41	303
Zhiyuan Huang China	10	151 0.7×	119 1.3×	13 0.2×	10 0.2×	16 0.4×	60	317
Christof Vömel United States	11	76 0.4×	33 0.4×	37 0.4×	15 0.3×	10 0.3×	29	297
Kun Fang China	12	364 1.8×	140 1.5×	410 4.9×	40 0.8×	4 0.1×	35	614
G. B. Mathews United States	2	48 0.2×	40 0.4×	22 0.3×	26 0.5×	16 0.4×	3	314
Nawaf Bou‐Rabee United States	11	35 0.2×	17 0.2×	45 0.5×	148 2.9×	17 0.4×	23	472

Countries citing papers authored by Jean Michel Sellier

Since Specialization

Citations

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

Fields of papers citing papers by Jean Michel Sellier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Michel Sellier. 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 Jean Michel Sellier. The network helps show where Jean Michel Sellier may publish in the future.

Co-authorship network of co-authors of Jean Michel Sellier

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

All Works

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20 of 20 papers shown

Sellier, Jean Michel, et al.. (2025). On Training Spiking Neural Networks by Means of a Novel Quantum Inspired Machine Learning Method. SHILAP Revista de lepidopterología. 6(2).

Sellier, Jean Michel. (2023). On a quantum inspired approach to train machine learning models. SHILAP Revista de lepidopterología. 4(4). 1 indexed citations

Yan, Jun, et al.. (2022). TADA: A Transferable Domain-Adversarial Training for Smart Grid Intrusion Detection Based on Ensemble Divergence Metrics and Spatiotemporal Features. Energies. 15(23). 8778–8778. 4 indexed citations

Sellier, Jean Michel, et al.. (2019). Signed particles and neural networks, towards efficient simulations of quantum systems. Journal of Computational Physics. 387. 154–162. 4 indexed citations

Sellier, Jean Michel, et al.. (2017). A study of entangled systems in the many‐body signed particle formulation of quantum mechanics. International Journal of Quantum Chemistry. 117(23). 2 indexed citations

Sellier, Jean Michel. (2017). Combining neural networks and signed particles to simulate quantum systems more efficiently. Physica A Statistical Mechanics and its Applications. 496. 62–71. 3 indexed citations

Pennisi, S., et al.. (2016). Extended thermodynamics of dense gases with at least 24 moments. Ricerche di Matematica. 65(2). 505–522. 5 indexed citations

Wang, Xufeng, Samarth Agarwal, Gerhard Klimeck, et al.. (2016). Piece-Wise Constant Potential Barriers Tool. 2 indexed citations

Pennisi, S., et al.. (2016). Extended Thermodynamics of dense gases with many moments – The macroscopic approach. International Journal of Non-Linear Mechanics. 84. 12–22. 3 indexed citations

10.

Dimov, Ivan, Sylvain Maire, & Jean Michel Sellier. (2015). A new Walk on Equations Monte Carlo method for solving systems of linear algebraic equations. Applied Mathematical Modelling. 39(15). 4494–4510. 26 indexed citations

11.

Sellier, Jean Michel & Ivan Dimov. (2015). Wigner functions, signed particles, and the harmonic oscillator. Journal of Computational Electronics. 14(4). 907–915. 1 indexed citations

12.

Sellier, Jean Michel. (2015). A signed particle formulation of non-relativistic quantum mechanics. Journal of Computational Physics. 297. 254–265. 12 indexed citations

13.

Sellier, Jean Michel, et al.. (2015). Molecular descriptors and quasi-distribution functions. Computers & Mathematics with Applications. 70(11). 2726–2731.

14.

Sellier, Jean Michel, et al.. (2015). On the Wigner Monte Carlo method coupled to pseudopotential models. Journal of Computational and Applied Mathematics. 293. 217–222. 2 indexed citations

15.

Sellier, Jean Michel & Ivan Dimov. (2014). A sensitivity study of the Wigner Monte Carlo method. Journal of Computational and Applied Mathematics. 277. 87–93. 7 indexed citations

16.

Sellier, Jean Michel, Salvatore Amoroso, Mihail Nedjalkov, et al.. (2014). Electron dynamics in nanoscale transistors by means of Wigner and Boltzmann approaches. Physica A Statistical Mechanics and its Applications. 398. 194–198. 9 indexed citations

17.

Sellier, Jean Michel & Ivan Dimov. (2014). On the simulation of indistinguishable fermions in the many-body Wigner formalism. Journal of Computational Physics. 280. 287–294. 21 indexed citations

18.

Amoroso, Salvatore, Louis Gerrer, Asen Asenov, et al.. (2013). Quantum insights in gate oxide charge-trapping dynamics in nanoscale MOSFETs. 4. 25–28. 4 indexed citations

19.

Sellier, Jean Michel, Mihail Nedjalkov, Ivan Dimov, & S. Selberherr. (2013). Two-dimensional transient wigner particle model. 328. 404–407. 7 indexed citations

20.

Mascali, Giovanni, Vittorio Romano, & Jean Michel Sellier. (2005). MEP parabolic hydrodynamical model for holes in silicon semiconductors. 120(2). 197–215. 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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