Nicholas Marcella

820 total citations
20 papers, 540 citations indexed

About

Nicholas Marcella is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Radiation. According to data from OpenAlex, Nicholas Marcella has authored 20 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 5 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Radiation. Recurrent topics in Nicholas Marcella's work include Machine Learning in Materials Science (11 papers), Catalytic Processes in Materials Science (9 papers) and X-ray Diffraction in Crystallography (9 papers). Nicholas Marcella is often cited by papers focused on Machine Learning in Materials Science (11 papers), Catalytic Processes in Materials Science (9 papers) and X-ray Diffraction in Crystallography (9 papers). Nicholas Marcella collaborates with scholars based in United States, Israel and Japan. Nicholas Marcella's co-authors include Anatoly I. Frenkel, Yang Liu, Prahlad K. Routh, Janis Timoshenko, Eric A. Stach, Alexandre C. Foucher, Joanna Aizenberg, Štefan Vajda, Avik Halder and Boris Kozinsky and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Nicholas Marcella

19 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Marcella United States 13 398 167 104 86 82 20 540
C. R. O'Connor United States 12 358 0.9× 177 1.1× 122 1.2× 71 0.8× 67 0.8× 29 494
Yang Bing United States 6 341 0.9× 200 1.2× 191 1.8× 40 0.5× 34 0.4× 7 475
Rachel M. Anderson United States 12 276 0.7× 198 1.2× 43 0.4× 24 0.3× 77 0.9× 26 472
Kai F. Kalz Germany 7 370 0.9× 171 1.0× 209 2.0× 169 2.0× 121 1.5× 8 629
David Degerman Sweden 10 333 0.8× 192 1.1× 263 2.5× 39 0.5× 33 0.4× 18 483
Karsten Handrup United Kingdom 15 270 0.7× 95 0.6× 28 0.3× 106 1.2× 48 0.6× 28 512
Robert H. Temperton Sweden 13 182 0.5× 87 0.5× 31 0.3× 57 0.7× 45 0.5× 42 357
Arnoldus J. van Bunningen Netherlands 12 611 1.5× 109 0.7× 218 2.1× 52 0.6× 39 0.5× 15 689
Takio Noguchi Japan 16 376 0.9× 45 0.3× 26 0.3× 102 1.2× 33 0.4× 26 647
Juhani Väyrynen Finland 10 217 0.5× 28 0.2× 136 1.3× 236 2.7× 70 0.9× 14 512

Countries citing papers authored by Nicholas Marcella

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Marcella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Marcella

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Marcella. A scholar is included among the top collaborators of Nicholas Marcella 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 Nicholas Marcella. Nicholas Marcella 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.
Marcella, Nicholas, Alexander S. Ivanov, James F. Wishart, et al.. (2025). X‐Ray Absorption Studies of Local Structure of Dilute Ionic Species in Molten Salts. Chemistry - Methods. 5(7). 1 indexed citations
2.
Marcella, Nicholas, et al.. (2025). First shell EXAFS data analysis of nanocatalysts via neural networks. Journal of Catalysis. 447. 116145–116145.
3.
Marcella, Nicholas, Stephen Lam, Vyacheslav S. Bryantsev, Santanu Roy, & Anatoly I. Frenkel. (2024). Neural network based analysis of multimodal bond distributions using extended x-ray absorption fine structure spectra. Physical review. B.. 109(10). 5 indexed citations
4.
Marcella, Nicholas, C. R. O'Connor, Taek‐Seung Kim, et al.. (2024). Iterative Bragg peak removal on X-ray absorption spectra with automatic intensity correction. Journal of Synchrotron Radiation. 31(3). 456–463. 1 indexed citations
5.
Marcella, Nicholas, et al.. (2024). Decoding the Pair Distribution Function of Uranium in Molten Fluoride Salts from X-Ray Absorption Spectroscopy Data by Machine Learning. The Journal of Physical Chemistry C. 128(18). 7635–7642. 6 indexed citations
6.
Varenik, Maxim, Junying Li, Ellen Wachtel, et al.. (2024). Correlated Displacement of Dynamic Elastic Dipoles Produces Nonclassical Electrostriction in Zr-Doped Ceria. Chemistry of Materials. 5 indexed citations
7.
Routh, Prahlad K., Nicholas Marcella, & Anatoly I. Frenkel. (2023). Speciation of Nanocatalysts Using X-ray Absorption Spectroscopy Assisted by Machine Learning. The Journal of Physical Chemistry C. 127(12). 5653–5662. 17 indexed citations
8.
Liu, Yang, Nicholas Marcella, Alexandre C. Foucher, et al.. (2022). Z-Contrast Enhancement in Au–Pt Nanocatalysts by Correlative X-ray Absorption Spectroscopy and Electron Microscopy: Implications for Composition Determination. ACS Applied Nano Materials. 5(7). 8775–8782. 3 indexed citations
9.
Marcella, Nicholas, Jin Soo Lim, Anna M. Płonka, et al.. (2022). Decoding reactive structures in dilute alloy catalysts. Nature Communications. 13(1). 832–832. 68 indexed citations
10.
Foucher, Alexandre C., Nicholas Marcella, Ryan Tappero, et al.. (2022). Dynamical Change of Valence States and Structure in NiCu3 Nanoparticles during Redox Cycling. The Journal of Physical Chemistry C. 126(4). 1991–2002. 16 indexed citations
11.
Xiang, Shuting, Peipei Huang, Yang Liu, et al.. (2022). Solving the structure of “single-atom” catalysts using machine learning – assisted XANES analysis. Physical Chemistry Chemical Physics. 24(8). 5116–5124. 41 indexed citations
12.
Liu, Yang, Avik Halder, Söenke Seifert, et al.. (2021). Probing Active Sites in CuxPdy Cluster Catalysts by Machine-Learning-Assisted X-ray Absorption Spectroscopy. ACS Applied Materials & Interfaces. 13(45). 53363–53374. 32 indexed citations
13.
Routh, Prahlad K., Yang Liu, Nicholas Marcella, Boris Kozinsky, & Anatoly I. Frenkel. (2021). Latent Representation Learning for Structural Characterization of Catalysts. The Journal of Physical Chemistry Letters. 12(8). 2086–2094. 41 indexed citations
14.
Foucher, Alexandre C., Nicholas Marcella, Jennifer D. Lee, et al.. (2021). Structural and Valence State Modification of Cobalt in CoPt Nanocatalysts in Redox Conditions. ACS Nano. 15(12). 20619–20632. 22 indexed citations
15.
Marcella, Nicholas, Yang Liu, Janis Timoshenko, et al.. (2020). Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy. Physical Chemistry Chemical Physics. 22(34). 18902–18910. 39 indexed citations
16.
Luneau, Mathilde, Erjia Guan, Wei Chen, et al.. (2020). Enhancing catalytic performance of dilute metal alloy nanomaterials. Communications Chemistry. 3(1). 46–46. 64 indexed citations
17.
Liu, Yang, Nicholas Marcella, Janis Timoshenko, et al.. (2019). Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning. The Journal of Chemical Physics. 151(16). 164201–164201. 71 indexed citations
18.
Guan, Erjia, Alexandre C. Foucher, Nicholas Marcella, et al.. (2019). New Role of Pd Hydride as a Sensor of Surface Pd Distributions in Pd−Au Catalysts. ChemCatChem. 12(3). 717–721. 14 indexed citations
19.
Duan, Zhiyao, Nicholas Marcella, Long Luo, et al.. (2018). Experimental and Theoretical Structural Investigation of AuPt Nanoparticles Synthesized Using a Direct Electrochemical Method. Journal of the American Chemical Society. 140(20). 6249–6259. 39 indexed citations
20.
Nguyen, Hannah, et al.. (2017). Role of Lewis and Brønsted Acidity in Metal Chloride Catalysis in Organic Media: Reductive Etherification of Furanics. ACS Catalysis. 7(10). 7363–7370. 55 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by C. R. O'Connor Breakdown of academic impact, for papers by Yang Bing Breakdown of academic impact, for papers by Rachel M. Anderson Breakdown of academic impact, for papers by Kai F. Kalz Breakdown of academic impact, for papers by David Degerman Breakdown of academic impact, for papers by Karsten Handrup Breakdown of academic impact, for papers by Robert H. Temperton Breakdown of academic impact, for papers by Arnoldus J. van Bunningen Breakdown of academic impact, for papers by Takio Noguchi Breakdown of academic impact, for papers by Juhani Väyrynen
Rankless by CCL
2026