Marc Riera

1.6k total citations
24 papers, 812 citations indexed

About

Marc Riera is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Marc Riera has authored 24 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 11 papers in Materials Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Marc Riera's work include Advanced Chemical Physics Studies (19 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Machine Learning in Materials Science (9 papers). Marc Riera is often cited by papers focused on Advanced Chemical Physics Studies (19 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Machine Learning in Materials Science (9 papers). Marc Riera collaborates with scholars based in United States, Spain and Netherlands. Marc Riera's co-authors include Francesco Paesani, Andreas W. Götz, Pushp Bajaj, Eleftherios Lambros, Debbie Zhuang, Raja Ghosh, Narbe Mardirossian, Rita Prosmiti, Sandra E. Brown and Gregory K. Schenter and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Physical Chemistry Chemical Physics.

In The Last Decade

Marc Riera

24 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Riera United States 19 624 413 177 142 85 24 812
Pushp Bajaj United States 8 380 0.6× 181 0.4× 73 0.4× 86 0.6× 39 0.5× 9 461
Joseph P. Heindel United States 14 372 0.6× 160 0.4× 37 0.2× 133 0.9× 54 0.6× 28 620
Omololu Akin‐Ojo Nigeria 17 414 0.7× 190 0.5× 83 0.5× 122 0.9× 93 1.1× 34 672
Andrey Shalit Switzerland 12 515 0.8× 124 0.3× 49 0.3× 257 1.8× 68 0.8× 22 690
Noelia Faginas‐Lago Italy 19 537 0.9× 274 0.7× 50 0.3× 269 1.9× 89 1.0× 59 899
Chih‐Che Wu Taiwan 15 434 0.7× 181 0.4× 196 1.1× 467 3.3× 96 1.1× 24 934
Zachary R. Kann United States 8 379 0.6× 123 0.3× 45 0.3× 145 1.0× 61 0.7× 9 551
Apurba Nandi United States 17 496 0.8× 448 1.1× 119 0.7× 162 1.1× 36 0.4× 46 780
Soohaeng Yoo Willow United States 15 377 0.6× 154 0.4× 54 0.3× 75 0.5× 29 0.3× 27 572
Subha Pratihar United States 15 337 0.5× 101 0.2× 100 0.6× 288 2.0× 25 0.3× 31 607

Countries citing papers authored by Marc Riera

Since Specialization
Citations

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

Fields of papers citing papers by Marc Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Riera

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Riera. A scholar is included among the top collaborators of Marc Riera 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 Marc Riera. Marc Riera 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.
Chen, Xin, Xuecheng Shao, Marc Riera, et al.. (2025). Density-Functionalized QM/MM Delivers Chemical Accuracy For Solvated Systems. Journal of Chemical Theory and Computation. 21(20). 10340–10352. 1 indexed citations
2.
Riera, Marc, et al.. (2024). An energy-efficient near-data processing accelerator for DNNs to optimize memory accesses. Journal of Systems Architecture. 159. 103320–103320. 2 indexed citations
3.
Riera, Marc, Chris Knight, Henry Agnew, et al.. (2023). MBX: A many-body energy and force calculator for data-driven many-body simulations. The Journal of Chemical Physics. 159(5). 33 indexed citations
4.
Riera, Marc, et al.. (2023). Toward Data-Driven Many-Body Simulations of Biomolecules in Solution: N -Methyl Acetamide as a Proxy for the Protein Backbone. Journal of Chemical Theory and Computation. 19(13). 4308–4321. 10 indexed citations
5.
Zhuang, Debbie, et al.. (2022). Hydration Structure of Na + and K + Ions in Solution Predicted by Data-Driven Many-Body Potentials. The Journal of Physical Chemistry B. 126(45). 9349–9360. 25 indexed citations
6.
Yue, Shuwen, Marc Riera, Raja Ghosh, Athanassios Z. Panagiotopoulos, & Francesco Paesani. (2022). Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases. The Journal of Chemical Physics. 156(10). 104503–104503. 18 indexed citations
7.
Riera, Marc, et al.. (2022). Data-Driven Many-Body Potential Energy Functions for Generic Molecules: Linear Alkanes as a Proof-of-Concept Application. Journal of Chemical Theory and Computation. 19(14). 4494–4509. 26 indexed citations
8.
Ghosh, Raja, et al.. (2022). The behavior of methane–water mixtures under elevated pressures from simulations using many-body potentials. The Journal of Chemical Physics. 156(19). 194504–194504. 13 indexed citations
9.
Cruzeiro, Vinícius Wilian D., et al.. (2021). Highly Accurate Many-Body Potentials for Simulations of N 2 O 5 in Water: Benchmarks, Development, and Validation. Journal of Chemical Theory and Computation. 17(7). 3931–3945. 18 indexed citations
10.
Riera, Marc, et al.. (2021). MB-Fit: Software infrastructure for data-driven many-body potential energy functions. The Journal of Chemical Physics. 155(12). 124801–124801. 26 indexed citations
11.
Riera, Marc, et al.. (2020). Data-Driven Many-Body Models for Molecular Fluids: CO 2 /H 2 O Mixtures as a Case Study. Journal of Chemical Theory and Computation. 16(4). 2246–2257. 55 indexed citations
12.
Riera, Marc, et al.. (2020). Data-Driven Many-Body Models with Chemical Accuracy for CH 4 /H 2 O Mixtures. The Journal of Physical Chemistry B. 124(49). 11207–11221. 37 indexed citations
13.
Riera, Marc, et al.. (2020). Nature of Alkali Ion–Water Interactions: Insights from Many-Body Representations and Density Functional Theory. II. Journal of Chemical Theory and Computation. 16(5). 3055–3072. 23 indexed citations
14.
Riera, Marc, et al.. (2020). Infrared signatures of isomer selectivity and symmetry breaking in the Cs+(H2O)3 complex using many-body potential energy functions. The Journal of Chemical Physics. 153(4). 44306–44306. 25 indexed citations
15.
Zhuang, Debbie, Marc Riera, Gregory K. Schenter, John L. Fulton, & Francesco Paesani. (2019). Many-Body Effects Determine the Local Hydration Structure of Cs + in Solution. The Journal of Physical Chemistry Letters. 10(3). 406–412. 57 indexed citations
16.
Bajaj, Pushp, et al.. (2019). Halide Ion Microhydration: Structure, Energetics, and Spectroscopy of Small Halide–Water Clusters. The Journal of Physical Chemistry A. 123(13). 2843–2852. 47 indexed citations
17.
Riera, Marc, et al.. (2019). Low-order many-body interactions determine the local structure of liquid water. Chemical Science. 10(35). 8211–8218. 44 indexed citations
18.
Riera, Marc, Sandra E. Brown, & Francesco Paesani. (2018). Isomeric Equilibria, Nuclear Quantum Effects, and Vibrational Spectra of M + (H 2 O) n =1–3 Clusters, with M = Li, Na, K, Rb, and Cs, through Many-Body Representations. The Journal of Physical Chemistry A. 122(27). 5811–5821. 36 indexed citations
19.
Riera, Marc, Andreas W. Götz, & Francesco Paesani. (2016). The i-TTM model for ab initio-based ion–water interaction potentials. II. Alkali metal ion–water potential energy functions. Physical Chemistry Chemical Physics. 18(44). 30334–30343. 43 indexed citations
20.
Riera, Marc, et al.. (2015). i-TTM Model for Ab Initio-Based Ion–Water Interaction Potentials. 1. Halide–Water Potential Energy Functions. The Journal of Physical Chemistry B. 120(8). 1822–1832. 58 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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