Mark Jarrell

11.9k total citations · 3 hit papers
200 papers, 9.1k citations indexed

About

Mark Jarrell is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Mark Jarrell has authored 200 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Condensed Matter Physics, 123 papers in Atomic and Molecular Physics, and Optics and 59 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Mark Jarrell's work include Physics of Superconductivity and Magnetism (147 papers), Quantum and electron transport phenomena (87 papers) and Advanced Condensed Matter Physics (69 papers). Mark Jarrell is often cited by papers focused on Physics of Superconductivity and Magnetism (147 papers), Quantum and electron transport phenomena (87 papers) and Advanced Condensed Matter Physics (69 papers). Mark Jarrell collaborates with scholars based in United States, Germany and India. Mark Jarrell's co-authors include Thomas Maier, J. E. Gubernatis, Thomas Pruschke, Matthias H. Hettler, Th. Pruschke, H. R. Krishnamurthy, J. K. Freericks, D. L. Cox, Alexandru Macridin and A. N. Tahvildar-Zadeh and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Mark Jarrell

197 papers receiving 9.0k citations

Hit Papers

Quantum cluster theories 1992 2026 2003 2014 2005 1996 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Jarrell United States 47 7.6k 5.0k 3.3k 839 294 200 9.1k
Frédéric Mila Switzerland 54 8.1k 1.1× 5.1k 1.0× 3.2k 1.0× 848 1.0× 302 1.0× 312 9.8k
Matthias Vojta Germany 44 6.9k 0.9× 4.5k 0.9× 3.3k 1.0× 818 1.0× 441 1.5× 204 8.8k
Cristian D. Batista United States 45 5.4k 0.7× 3.6k 0.7× 3.2k 1.0× 812 1.0× 314 1.1× 196 7.0k
Tao Xiang China 49 6.1k 0.8× 4.1k 0.8× 3.4k 1.0× 971 1.2× 250 0.9× 238 8.4k
Hiroyuki Shiba Japan 50 7.2k 0.9× 4.8k 1.0× 3.4k 1.0× 1.2k 1.4× 610 2.1× 180 9.0k
Olivier Parcollet France 41 5.2k 0.7× 3.4k 0.7× 2.7k 0.8× 1.1k 1.3× 371 1.3× 93 6.8k
C. Castellani Italy 47 5.5k 0.7× 3.5k 0.7× 2.5k 0.8× 869 1.0× 360 1.2× 181 6.7k
Sandro Sorella Italy 48 5.5k 0.7× 6.1k 1.2× 1.7k 0.5× 1.6k 1.9× 357 1.2× 174 8.9k
A. M. Tsvelik United States 46 6.3k 0.8× 4.9k 1.0× 2.4k 0.7× 887 1.1× 276 0.9× 223 8.2k
Piers Coleman United States 49 9.3k 1.2× 6.4k 1.3× 4.4k 1.3× 1.2k 1.4× 843 2.9× 211 11.8k

Countries citing papers authored by Mark Jarrell

Since Specialization
Citations

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

Fields of papers citing papers by Mark Jarrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Jarrell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Jarrell. A scholar is included among the top collaborators of Mark Jarrell 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 Mark Jarrell. Mark Jarrell 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.
Rousseau, V. G., et al.. (2018). Local density of the Bose-glass phase. Physical review. B.. 98(18). 5 indexed citations
2.
Vidhyadhiraja, N. S., et al.. (2018). Emergence of non-Fermi liquid dynamics through nonlocal correlations in an interacting disordered system. Physical review. B.. 98(7). 6 indexed citations
3.
Vidhyadhiraja, N. S., et al.. (2017). Quantum critical local spin dynamics near the Mott metal-insulator transition in infinite dimensions. Physical review. B.. 95(16). 8 indexed citations
4.
Rousseau, V. G., et al.. (2016). ダイヤモンド・リング交換による三角格子のBose-Hubbardモデル. Physical Review B. 94(14). 1–144514. 2 indexed citations
5.
Ye, Fang, Yun Ding, Wei P. Feinstein, et al.. (2016). GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous Computing. PLoS ONE. 11(7). e0158898–e0158898. 21 indexed citations
6.
Feinstein, Wei P., Juana Moreno, Mark Jarrell, & Michał Bryliński. (2015). Accelerating the Pace of Protein Functional Annotation With Intel Xeon Phi Coprocessors. IEEE Transactions on NanoBioscience. 14(4). 429–439. 5 indexed citations
7.
Rousseau, V. G., et al.. (2013). Phase diagram of the Bose-Hubbard model on a ring-shaped lattice with tunable weak links. Physical Review A. 87(5). 11 indexed citations
8.
Žitko, Rok, et al.. (2013). Unconventional Superconductivity from Local Spin Fluctuations in the Kondo Lattice. Physical Review Letters. 110(14). 146406–146406. 32 indexed citations
9.
Ekuma, Chinedu E., Chia‐Hui Lin, Juana Moreno, Wei Ku, & Mark Jarrell. (2012). Why does PdTe have such a weaker superconductivity compared to FeSe? A First-Principle Wannier function analysis of the electronic structure of PdTe. arXiv (Cornell University). 1 indexed citations
10.
Yang, Shuxiang, Hartmut Hafermann, Ka-Ming Tam, et al.. (2012). Extended Correlation in Strongly Correlated Systems, Beyond Dynamical Cluster Approximation. Bulletin of the American Physical Society. 2012. 1 indexed citations
11.
Ekuma, Chinedu E., Ilya Vekhter, Mark Jarrell, et al.. (2012). Physical properties of Ba2Mn2Sb2O single crystals. Physical Review B. 86(19). 3 indexed citations
12.
Werner, Philipp, et al.. (2010). Continuous-time quantum Monte Carlo and maximum entropy approach to an imaginary-time formulation of strongly correlated steady-state transport. Physical Review E. 82(2). 26701–26701. 23 indexed citations
13.
Fuchs, Sebastian, Thomas Pruschke, & Mark Jarrell. (2010). Analytic continuation of quantum Monte Carlo data by stochastic analytical inference. Physical Review E. 81(5). 56701–56701. 70 indexed citations
14.
Khatami, Ehsan, et al.. (2009). Dynamical Mean Field Theory Cluster Solver with Linear Scaling in Inverse Temperature. arXiv (Cornell University). 2 indexed citations
15.
Jarrell, Mark, et al.. (2009). Multi-scale extensions to quantum cluster methods for strongly correlated electron systems. Journal of Physics Condensed Matter. 21(43). 435604–435604. 52 indexed citations
16.
Moreno, Juana, R. S. Fishman, & Mark Jarrell. (2006). Transition Temperature of a Magnetic Semiconductor with Angular Momentumj. Physical Review Letters. 96(23). 237204–237204. 8 indexed citations
17.
Smith, Leigh M., et al.. (2005). Exchange coupling between magnetic and non-magnetic quantum dots. Bulletin of the American Physical Society.
18.
Jarrell, Mark. (2005). The Dynamical Cluster Approximation. Bulletin of the American Physical Society. 1 indexed citations
19.
Fishman, R. S. & Mark Jarrell. (2003). Magnetic susceptibility of the double-exchange model. Physical review. B, Condensed matter. 67(10). 12 indexed citations
20.
Jarrell, Mark, et al.. (1996). Two-Channel Kondo Lattice: An Incoherent Metal. Physical Review Letters. 77(8). 1612–1615. 47 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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