Y. Alhassid

8.2k total citations · 1 hit paper
192 papers, 6.2k citations indexed

About

Y. Alhassid is a scholar working on Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Y. Alhassid has authored 192 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Atomic and Molecular Physics, and Optics, 101 papers in Nuclear and High Energy Physics and 85 papers in Statistical and Nonlinear Physics. Recurrent topics in Y. Alhassid's work include Nuclear physics research studies (98 papers), Quantum chaos and dynamical systems (67 papers) and Advanced Chemical Physics Studies (43 papers). Y. Alhassid is often cited by papers focused on Nuclear physics research studies (98 papers), Quantum chaos and dynamical systems (67 papers) and Advanced Chemical Physics Studies (43 papers). Y. Alhassid collaborates with scholars based in United States, Japan and Israel. Y. Alhassid's co-authors include R. D. Levine, F. Iachello, Brian Bush, H. Nakada, Feza Gürsey, Niall D. Whelan, Shimon Levit, G. F. Bertsch, S. Liu and S. E. Koonin 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

Y. Alhassid

187 papers receiving 6.0k citations

Hit Papers

The statistical theory of quantum dots 2000 2026 2008 2017 2000 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Alhassid United States 45 3.9k 2.9k 2.8k 846 766 192 6.2k
Hans A. Weidenmüller Germany 41 4.4k 1.1× 3.4k 1.2× 3.4k 1.2× 808 1.0× 811 1.1× 164 7.4k
O. Bohigas France 32 2.9k 0.8× 1.7k 0.6× 3.4k 1.2× 692 0.8× 681 0.9× 83 5.6k
D.J. Rowe Canada 45 4.1k 1.0× 3.7k 1.3× 1.4k 0.5× 2.0k 2.4× 699 0.9× 230 6.9k
J. J. M. Verbaarschot United States 49 2.6k 0.7× 4.6k 1.6× 2.9k 1.0× 401 0.5× 1.2k 1.6× 163 7.3k
J. P. Draayer United States 36 2.5k 0.6× 3.9k 1.4× 923 0.3× 1.4k 1.7× 334 0.4× 320 5.1k
Uzy Smilansky Israel 44 3.4k 0.9× 1.1k 0.4× 3.6k 1.3× 516 0.6× 545 0.7× 187 6.2k
Abraham Klein United States 31 2.9k 0.7× 2.2k 0.8× 957 0.3× 532 0.6× 591 0.8× 193 4.1k
F. Calogero Italy 37 3.1k 0.8× 932 0.3× 5.2k 1.9× 587 0.7× 399 0.5× 364 7.9k
S.S.M. Wong Canada 25 1.9k 0.5× 1.7k 0.6× 1.7k 0.6× 574 0.7× 426 0.6× 112 3.8k
Roger G. Newton United States 31 3.8k 1.0× 1.3k 0.4× 1.4k 0.5× 416 0.5× 343 0.4× 123 6.1k

Countries citing papers authored by Y. Alhassid

Since Specialization
Citations

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

Fields of papers citing papers by Y. Alhassid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Alhassid

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Alhassid. A scholar is included among the top collaborators of Y. Alhassid 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 Y. Alhassid. Y. Alhassid 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.
Özen, C. & Y. Alhassid. (2025). Direct local parametrization of nuclear state densities using the back-shifted Bethe formula. Nuclear Physics A. 1058. 123034–123034.
2.
Alhassid, Y., et al.. (2024). Pseudogap Effects in the Strongly Correlated Regime of the Two-Dimensional Fermi Gas. Physical Review Letters. 133(14). 143405–143405.
3.
Poves, A., F. Nowacki, & Y. Alhassid. (2020). Limits on assigning a shape to a nucleus. Physical review. C. 101(5). 30 indexed citations
4.
Gilbreth, C. N., et al.. (2020). Pairing Correlations across the Superfluid Phase Transition in the Unitary Fermi Gas. Physical Review Letters. 124(9). 90604–90604. 20 indexed citations
5.
Gilbreth, C. N., Y. Alhassid, & G. F. Bertsch. (2018). Nuclear deformation in the laboratory frame. Physical review. C. 97(1). 9 indexed citations
6.
Alhassid, Y. & H. Nakada. (2016). Nuclear Level Density of 161Dy in the Shell Model Monte Carlo Method. 1 indexed citations
7.
Alhassid, Y., et al.. (2014). Recent Advances in the Microscopic Calculations of Level Densities by the Shell Model Monte Carlo Method. Springer Link (Chiba Institute of Technology). 3 indexed citations
8.
Alhassid, Y., C. N. Gilbreth, & G. F. Bertsch. (2014). Nuclear Deformation at Finite Temperature. Physical Review Letters. 113(26). 262503–262503. 16 indexed citations
9.
Özen, C., Y. Alhassid, & H. Nakada. (2013). Crossover from Vibrational to Rotational Collectivity in Heavy Nuclei in the Shell-Model Monte Carlo Approach. Physical Review Letters. 110(4). 42502–42502. 44 indexed citations
10.
Alhassid, Y., et al.. (2013). Configuration-interaction Monte Carlo method and its application to the trapped unitary Fermi gas. Physical Review A. 88(5). 11 indexed citations
11.
Alhassid, Y., et al.. (2012). Odd-Particle Systems in the Shell Model Monte Carlo Method: Circumventing a Sign Problem. Physical Review Letters. 109(3). 32503–32503. 10 indexed citations
12.
Alhassid, Y., et al.. (2008). Heavy Deformed Nuclei in the Shell Model Monte Carlo Method. Physical Review Letters. 101(8). 82501–82501. 45 indexed citations
13.
Schmidt, Sebastian & Y. Alhassid. (2008). Mesoscopic Competition of Superconductivity and Ferromagnetism: Conductance Peak Statistics for Metallic Grains. Physical Review Letters. 101(20). 207003–207003. 12 indexed citations
14.
Rotter, Stefan, Hakan E. Türeci, Y. Alhassid, & A. Douglas Stone. (2008). Interacting Quantum Dot Coupled to a Kondo Spin: A Universal Hamiltonian Study. Physical Review Letters. 100(16). 166601–166601. 4 indexed citations
15.
Alhassid, Y., et al.. (2008). New Effective Interaction for the Trapped Fermi Gas. Physical Review Letters. 100(23). 230401–230401. 34 indexed citations
16.
Alhassid, Y., et al.. (2006). Effective quadrupole-quadrupole interaction from density functional theory. Physical Review C. 74(3). 9 indexed citations
17.
Alhassid, Y. & Thomas Rupp. (2003). Effects of Spin and Exchange Interaction on the Coulomb-Blockade Peak Statistics in Quantum Dots. Physical Review Letters. 91(5). 56801–56801. 36 indexed citations
18.
Alhassid, Y., et al.. (2001). Fluctuations of interactions and the peak spacings distribution in Coulomb blockade quantum dots. Physica E Low-dimensional Systems and Nanostructures. 9(3). 393–396. 7 indexed citations
19.
Langanke, K., D. J. Dean, P. B. Radha, Y. Alhassid, & S. E. Koonin. (1995). Shell-model Monte Carlo studies offp-shell nuclei. Physical Review C. 52(2). 718–725. 105 indexed citations
20.
Alhassid, Y., Brian Bush, & Shimon Levit. (1988). Thermal Shape Fluctuations, Landau Theory, and Giant Dipole Resonances in Hot Rotating Nuclei. Physical Review Letters. 61(17). 1926–1929. 81 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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