Aris Marcolongo

602 total citations
12 papers, 384 citations indexed

About

Aris Marcolongo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Aris Marcolongo has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 2 papers in Automotive Engineering. Recurrent topics in Aris Marcolongo's work include Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (5 papers) and Thermal properties of materials (4 papers). Aris Marcolongo is often cited by papers focused on Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (5 papers) and Thermal properties of materials (4 papers). Aris Marcolongo collaborates with scholars based in Switzerland, Italy and Germany. Aris Marcolongo's co-authors include Nicola Marzari, Stefano Baroni, Paolo Umari, Daniele Pergolesi, Vladimir Roddatis, Alexander Wokaun, Thomas Lippert, Teodoro Laino, Ivano Tavernelli and Davide Tisi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nature Physics.

In The Last Decade

Aris Marcolongo

12 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aris Marcolongo Switzerland	9	263	190	40	36	32	12	384
Martin Míka Czechia	12	197 0.7×	145 0.8×	90 2.3×	41 1.1×	21 0.7×	65	417
Susumu Fujii Japan	14	368 1.4×	197 1.0×	30 0.8×	18 0.5×	13 0.4×	44	491
Julia Langer Austria	9	201 0.8×	256 1.3×	26 0.7×	28 0.8×	57 1.8×	15	370
Thomas Dufils France	9	76 0.3×	100 0.5×	41 1.0×	42 1.2×	13 0.4×	9	280
Hirozumi Azuma Japan	11	146 0.6×	83 0.4×	52 1.3×	42 1.2×	15 0.5×	36	289
Nicolas Bock Germany	7	110 0.4×	175 0.9×	24 0.6×	13 0.4×	43 1.3×	15	278
Eric W. Bucholz United States	10	221 0.8×	53 0.3×	47 1.2×	28 0.8×	8 0.3×	19	359
Krystyna W. Semkow United States	10	121 0.5×	222 1.2×	35 0.9×	43 1.2×	13 0.4×	20	353
Chad Stoltz United States	10	414 1.6×	111 0.6×	12 0.3×	51 1.4×	6 0.2×	20	545
Rachel S. Aga United States	9	345 1.3×	99 0.5×	89 2.2×	53 1.5×	9 0.3×	17	397

Countries citing papers authored by Aris Marcolongo

Since Specialization

Citations

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

Fields of papers citing papers by Aris Marcolongo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aris Marcolongo

This figure shows the co-authorship network connecting the top 25 collaborators of Aris Marcolongo. A scholar is included among the top collaborators of Aris Marcolongo 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 Aris Marcolongo. Aris Marcolongo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Marcolongo, Aris, Mykhailo Vladymyrov, Sebastian Lienert, et al.. (2022). Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. SHILAP Revista de lepidopterología. 1. 4 indexed citations

Molinari, Nicola, et al.. (2021). Spectral Denoising for Accelerated Analysis of Correlated Ionic Transport. Physical Review Letters. 127(2). 25901–25901. 8 indexed citations

Marcolongo, Aris, et al.. (2021). QEHeat: An open-source energy flux calculator for the computation of heat-transport coefficients from first principles. Computer Physics Communications. 269. 108090–108090. 8 indexed citations

Marcolongo, Aris, et al.. (2021). High Li-ion conductivity in tetragonal LGPO: A comparative first-principles study against known LISICON and LGPS phases. Physical Review Materials. 5(3). 14 indexed citations

Cheng, Xi, Tobias Binninger, Steven D. Lacey, et al.. (2020). The solid-state Li-ion conductor Li<sub>7</sub>TaO<sub>6</sub>: a combined computational and experimental study. DORA PSI (Paul Scherrer Institute). 6 indexed citations

Marcolongo, Aris, et al.. (2020). Gauge Fixing for Heat-Transport Simulations. Journal of Chemical Theory and Computation. 16(5). 3352–3362. 21 indexed citations

Marcolongo, Aris, et al.. (2019). Doping in garnet-type electrolytes: Kinetic and thermodynamic effects from molecular dynamics simulations. Physical Review Materials. 3(3). 13 indexed citations

Marcolongo, Aris, et al.. (2018). Modeling lithium-ion solid-state electrolytes with a pinball model. Physical Review Materials. 2(6). 34 indexed citations

Marcolongo, Aris & Nicola Marzari. (2017). Ionic correlations and failure of Nernst-Einstein relation in solid-state electrolytes. Physical Review Materials. 1(2). 108 indexed citations

10.

Marcolongo, Aris, Vladimir Roddatis, Alexander Wokaun, et al.. (2017). Enhanced Proton Conductivity in Y‐Doped BaZrO₃ via Strain Engineering. Advanced Science. 4(12). 1700467–1700467. 52 indexed citations

11.

Marcolongo, Aris, et al.. (2016). Gauge Invariance of Thermal Transport Coefficients. Journal of Low Temperature Physics. 185(1-2). 79–86. 28 indexed citations

12.

Marcolongo, Aris, Paolo Umari, & Stefano Baroni. (2015). Microscopic theory and quantum simulation of atomic heat transport. Nature Physics. 12(1). 80–84. 88 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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