E. Curotto

712 total citations
51 papers, 635 citations indexed

About

E. Curotto is a scholar working on Atomic and Molecular Physics, and Optics, Atmospheric Science and Condensed Matter Physics. According to data from OpenAlex, E. Curotto has authored 51 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atomic and Molecular Physics, and Optics, 8 papers in Atmospheric Science and 7 papers in Condensed Matter Physics. Recurrent topics in E. Curotto's work include Quantum, superfluid, helium dynamics (32 papers), Advanced Chemical Physics Studies (29 papers) and Spectroscopy and Quantum Chemical Studies (15 papers). E. Curotto is often cited by papers focused on Quantum, superfluid, helium dynamics (32 papers), Advanced Chemical Physics Studies (29 papers) and Spectroscopy and Quantum Chemical Studies (15 papers). E. Curotto collaborates with scholars based in United States, Italy and United Kingdom. E. Curotto's co-authors include Massimo Mella, David L. Freeman, J. D. Doll, Michael F Russo, Alexander Matro, Jonathan H. Skone, Kenneth B. Roberts, Bin Chen, Hannah M. Christensen and R. J. Cross and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and Physical Chemistry Chemical Physics.

In The Last Decade

E. Curotto

51 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Curotto United States 16 521 144 114 64 63 51 635
Soohaeng Yoo Willow United States 15 377 0.7× 154 1.1× 34 0.3× 58 0.9× 42 0.7× 27 572
B. L. Hammond United States 14 825 1.6× 219 1.5× 129 1.1× 49 0.8× 99 1.6× 19 995
Michał Lesiuk Poland 17 461 0.9× 147 1.0× 44 0.4× 29 0.5× 41 0.7× 47 700
Elke Pahl New Zealand 18 536 1.0× 180 1.3× 114 1.0× 42 0.7× 59 0.9× 39 774
Yin Guo United States 17 672 1.3× 206 1.4× 69 0.6× 56 0.9× 30 0.5× 34 824
Hamid Berriche Tunisia 19 927 1.8× 102 0.7× 39 0.3× 78 1.2× 39 0.6× 124 1.1k
Jiqiong Dai United States 15 940 1.8× 122 0.8× 172 1.5× 56 0.9× 26 0.4× 20 1.0k
José R. Mohallem Brazil 18 881 1.7× 102 0.7× 93 0.8× 63 1.0× 9 0.1× 81 1.0k
Hansjürg Schmutz Switzerland 22 989 1.9× 82 0.6× 69 0.6× 48 0.8× 34 0.5× 46 1.1k
David Z. Goodson United States 17 625 1.2× 56 0.4× 56 0.5× 36 0.6× 31 0.5× 38 755

Countries citing papers authored by E. Curotto

Since Specialization
Citations

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

Fields of papers citing papers by E. Curotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Curotto

This figure shows the co-authorship network connecting the top 25 collaborators of E. Curotto. A scholar is included among the top collaborators of E. Curotto 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 E. Curotto. E. Curotto 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.
Curotto, E., et al.. (2022). Electrolyte clusters as hydrogen sponges: diffusion Monte Carlo simulations. Physical Chemistry Chemical Physics. 24(42). 26094–26101. 1 indexed citations
2.
Curotto, E., et al.. (2019). An ergodic measure for Diffusion Monte Carlo ground state wavefunctions: Application to a hydrogen cluster with an isotopic impurity. Chemical Physics Letters. 734. 136728–136728. 2 indexed citations
3.
Curotto, E., et al.. (2019). Classical and quantum simulations of a lithium ion solvated by a mixed Stockmayer cluster. Chemical Physics Letters. 725. 80–86. 2 indexed citations
4.
Christensen, Hannah M., et al.. (2016). Smart darting diffusion Monte Carlo: Applications to lithium ion-Stockmayer clusters. The Journal of Chemical Physics. 144(17). 174115–174115. 4 indexed citations
5.
Curotto, E.. (2015). Ion-Stockmayer clusters: Minima, classical thermodynamics, and variational ground state estimates of Li+(CH3NO2)n (n = 1–20). The Journal of Chemical Physics. 143(21). 214301–214301. 8 indexed citations
6.
Mella, Massimo & E. Curotto. (2013). Quantum simulations of the hydrogen molecule on ammonia clusters. The Journal of Chemical Physics. 139(12). 124319–124319. 13 indexed citations
7.
Curotto, E., et al.. (2013). Replica exchange with Smart Monte Carlo and Hybrid Monte Carlo in manifolds. Chemical Physics Letters. 590. 214–220. 2 indexed citations
8.
Roberts, Kenneth B., et al.. (2012). A rare event sampling method for diffusion Monte Carlo using smart darting. The Journal of Chemical Physics. 136(7). 74104–74104. 10 indexed citations
9.
Curotto, E., et al.. (2009). Thermodynamic properties of ammonia clusters (NH3)n n=2–11: Comparing classical and quantum simulation results for hydrogen bonded species. The Journal of Chemical Physics. 131(3). 34312–34312. 22 indexed citations
10.
Curotto, E., et al.. (2007). Rigid quantum Monte Carlo simulations of condensed molecular matter: Water clusters in the n=2→8 range. The Journal of Chemical Physics. 126(8). 84506–84506. 21 indexed citations
11.
Curotto, E., et al.. (2007). Stereographic Projection Diffusion Monte Carlo (SPDMC) Algorithms for Molecular Condensed Matter. The Journal of Physical Chemistry A. 111(13). 2610–2618. 14 indexed citations
12.
Curotto, E., et al.. (2006). Stereographic projection path-integral simulations of (HF)n clusters. The Journal of Chemical Physics. 124(17). 174305–174305. 17 indexed citations
13.
Curotto, E.. (2005). A reweighted random series method for stereographic projection path integrals. The Journal of Chemical Physics. 123(13). 134102–134102. 18 indexed citations
14.
Curotto, E., et al.. (2004). Parameter space minimization methods: Applications to Lennard-Jones–dipole-dipole clusters. The Journal of Chemical Physics. 121(13). 6226–6239. 10 indexed citations
15.
Russo, Michael F & E. Curotto. (2003). Stereographic projections path integral in S1 and (S2)m manifolds. The Journal of Chemical Physics. 118(15). 6806–6815. 23 indexed citations
16.
Curotto, E., et al.. (2000). The melting of Ar54–HF: A canonical parallel tempering simulation. The Journal of Chemical Physics. 113(10). 4298–4304. 13 indexed citations
17.
Curotto, E., et al.. (2000). On the finite temperature red shift in Ar12–HF: can isomerizations in clusters be observed by spectroscopy?. Chemical Physics Letters. 330(3-4). 440–446. 8 indexed citations
18.
Curotto, E., Alexander Matro, David L. Freeman, & J. D. Doll. (1998). A semi-empirical potential for simulations of transition metal clusters: Minima and isomers of Nin (n=2–13) and their hydrides. The Journal of Chemical Physics. 108(2). 729–742. 61 indexed citations
19.
Curotto, E., David L. Freeman, & J. D. Doll. (1998). A j-walking algorithm for microcanonical simulations: Applications to Lennard-Jones clusters. The Journal of Chemical Physics. 109(5). 1643–1647. 19 indexed citations
20.
Curotto, E., David L. Freeman, Bin Chen, & J. D. Doll. (1998). The melting transition of Ni7 and Ni7H as modeled by a semi-empirical potential. Chemical Physics Letters. 295(4). 366–372. 5 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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