Michael D’Mello

924 total citations
26 papers, 754 citations indexed

About

Michael D’Mello is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Michael D’Mello has authored 26 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 7 papers in Spectroscopy and 6 papers in Materials Chemistry. Recurrent topics in Michael D’Mello's work include Advanced Chemical Physics Studies (15 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Quantum, superfluid, helium dynamics (7 papers). Michael D’Mello is often cited by papers focused on Advanced Chemical Physics Studies (15 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Quantum, superfluid, helium dynamics (7 papers). Michael D’Mello collaborates with scholars based in United States, Spain and Germany. Michael D’Mello's co-authors include Róbert E. Wyatt, David E. Manolopoulos, F. J. Aoiz, Vı́ctor J. Herrero, L. Schnieder, V. Sáez Rábanos, Eckart Wrede, Luis Bañares, Ottorino Ori and Janusz Borkowski and has published in prestigious journals such as Science, The Journal of Chemical Physics and Chemical Physics Letters.

In The Last Decade

Michael D’Mello

26 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D’Mello United States 14 635 272 91 77 39 26 754
Patrick Cassam-Chenaı̈ France 16 517 0.8× 399 1.5× 125 1.4× 80 1.0× 97 2.5× 49 793
Osamu Hino Japan 7 367 0.6× 121 0.4× 41 0.5× 78 1.0× 19 0.5× 7 415
Helena Larsen Denmark 15 645 1.0× 234 0.9× 99 1.1× 113 1.5× 57 1.5× 17 772
Amit R. Sharma United States 12 365 0.6× 265 1.0× 142 1.6× 74 1.0× 23 0.6× 19 487
GG Balint-Kurti United Kingdom 5 235 0.4× 78 0.3× 45 0.5× 68 0.9× 43 1.1× 9 338
Yin Guo United States 17 672 1.1× 216 0.8× 69 0.8× 206 2.7× 36 0.9× 34 824
Barry G. Adams Canada 13 625 1.0× 132 0.5× 52 0.6× 51 0.7× 23 0.6× 21 702
Naoki Nakatani Japan 7 452 0.7× 135 0.5× 20 0.2× 109 1.4× 25 0.6× 10 574
Sohrab Zarrabian Canada 9 411 0.6× 132 0.5× 42 0.5× 42 0.5× 22 0.6× 11 474
Jacques Moret‐Bailly France 11 343 0.5× 390 1.4× 177 1.9× 31 0.4× 29 0.7× 27 557

Countries citing papers authored by Michael D’Mello

Since Specialization
Citations

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

Fields of papers citing papers by Michael D’Mello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D’Mello. 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 Michael D’Mello. The network helps show where Michael D’Mello may publish in the future.

Co-authorship network of co-authors of Michael D’Mello

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D’Mello. A scholar is included among the top collaborators of Michael D’Mello 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 Michael D’Mello. Michael D’Mello 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
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Paoli, Roberto, et al.. (2020). Scalability of OpenFOAM Density-Based Solver with Runge–Kutta Temporal Discretization Scheme. Scientific Programming. 2020. 1–11. 9 indexed citations
4.
Low, John J., Noah H. Paulson, Michael D’Mello, & Marius Stan. (2020). Thermodynamics of monoclinic and tetragonal hafnium dioxide (HfO2) at ambient pressure. Calphad. 72. 102210–102210. 19 indexed citations
5.
Fletcher, Graham D., Colleen Bertoni, Murat Keçeli, & Michael D’Mello. (2019). Valence : A Massively Parallel Implementation of the Variational Subspace Valence Bond Method. Journal of Computational Chemistry. 40(17). 1664–1673. 1 indexed citations
6.
Bañares, Luis, F. J. Aoiz, Vı́ctor J. Herrero, et al.. (1998). Experimental and quantum mechanical study of the H+D2 reaction near 0.5 eV: The assessment of the H3 potential energy surfaces. The Journal of Chemical Physics. 108(15). 6160–6169. 47 indexed citations
7.
Aoiz, F. J., Luis Bañares, Michael D’Mello, et al.. (1994). Quantum mechanical and quasiclassical calculations for the H+D2→HD+D reaction: Reaction probabilities and differential cross sections. The Journal of Chemical Physics. 101(7). 5781–5791. 53 indexed citations
8.
Wu, Xudong, Róbert E. Wyatt, & Michael D’Mello. (1994). Inclusion of the geometric phase in quantum reactive scattering calculations: A variational formulation. The Journal of Chemical Physics. 101(4). 2953–2967. 27 indexed citations
9.
D’Mello, Michael, David E. Manolopoulos, & Róbert E. Wyatt. (1994). Theory, Experiment, and the H + D2 Reaction. Science. 263(5143). 102–102. 17 indexed citations
10.
D’Mello, Michael, David E. Manolopoulos, & Róbert E. Wyatt. (1994). Theory, Experiment, and the H + D 2 Reaction. Science. 263(5143). 102–102. 2 indexed citations
11.
D’Mello, Michael, et al.. (1993). Analysis of the structure of the C78 fullerene: A topological approach. Applied Physics A. 56(1). 35–39. 8 indexed citations
12.
Ori, Ottorino & Michael D’Mello. (1992). A topological study of the structure of the C76 fullerene. Chemical Physics Letters. 197(1-2). 49–54. 35 indexed citations
13.
Brown, Nancy J., et al.. (1992). Quantum functional sensitivity analysis within the log-derivative Kohn variational method for reactive scattering. The Journal of Chemical Physics. 97(9). 6226–6239. 8 indexed citations
14.
Brown, Nancy J., et al.. (1992). Quantum functional sensitivity analysis for the collinear H+H2 reaction rate coefficient. The Journal of Chemical Physics. 96(5). 3523–3530. 23 indexed citations
15.
D’Mello, Michael, David E. Manolopoulos, & Róbert E. Wyatt. (1991). Quantum dynamics of the H+D2→D+HD reaction: Comparison with experiment. The Journal of Chemical Physics. 94(9). 5985–5993. 65 indexed citations
16.
Manolopoulos, David E., Michael D’Mello, Róbert E. Wyatt, & Robert B. Walker. (1990). Converged variational quantum scattering results for the three-dimensional F+HD reaction. Chemical Physics Letters. 169(6). 482–488. 26 indexed citations
17.
Manolopoulos, David E., Michael D’Mello, & Róbert E. Wyatt. (1990). Translational basis set contraction in variational reactive scattering. The Journal of Chemical Physics. 93(1). 403–411. 73 indexed citations
18.
D’Mello, Michael, David E. Manolopoulos, & Róbert E. Wyatt. (1990). Converged variational quantum scattering results for the three dimensional F+D2 reaction. Chemical Physics Letters. 168(2). 113–118. 43 indexed citations
19.
Bremananth, R., Michael D’Mello, & Róbert E. Wyatt. (1990). The Newton variational functional for the log-derivative matrix: Use of the reference energy Green’s function in an exchange problem. The Journal of Chemical Physics. 93(11). 8110–8121. 10 indexed citations
20.
D’Mello, Michael, et al.. (1988). Recursive generation of individual S-matrix elements: Application to the collinear H + H2 reaction. Chemical Physics Letters. 148(2-3). 169–176. 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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