Narbe Mardirossian

43 total papers · 11.8k total citations
25 papers, 4.7k citations indexed

About

Narbe Mardirossian is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Narbe Mardirossian has authored 25 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 11 papers in Materials Chemistry and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Narbe Mardirossian's work include Advanced Chemical Physics Studies (15 papers), Machine Learning in Materials Science (8 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Narbe Mardirossian is often cited by papers focused on Advanced Chemical Physics Studies (15 papers), Machine Learning in Materials Science (8 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Narbe Mardirossian collaborates with scholars based in United States, United Kingdom and New Zealand. Narbe Mardirossian's co-authors include Martin Head‐Gordon, Teresa Head‐Gordon, Luis Ruiz Pestana, John Parkhill, Jonathon Witte, Jeffrey B. Neaton, Chris‐Kriton Skylaris, Francesco Paesani, James C. Womack and Pushp Bajaj and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and Gastroenterology.

In The Last Decade

Narbe Mardirossian

24 papers receiving 4.7k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Thirty years of density functional theory in computational chemistry: an overview and extensive assessment of 200 density functionals

2017 1.5k citations Narbe Mardirossian, Martin Head‐Gordon Molecular Physics profile →
ωB97M-V: A combinatorially optimized, range-separated hybrid, meta-GGA density functional with VV10 nonlocal correlation

2016 820 citations Narbe Mardirossian, Martin Head‐Gordon The Journal of Chemical Physics profile →
ωB97X-V: A 10-parameter, range-separated hybrid, generalized gradient approximation density functional with nonlocal correlation, designed by a survival-of-the-fittest strategy

2013 715 citations Narbe Mardirossian, Martin Head‐Gordon Physical Chemistry Chemical Physics profile →
How Accurate Are the Minnesota Density Functionals for Noncovalent Interactions, Isomerization Energies, Thermochemistry, and Barrier Heights Involving Molecules Composed of Main-Group Elements?

2016 378 citations Narbe Mardirossian, Martin Head‐Gordon Journal of Chemical Theory and Computation profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Narbe Mardirossian	2.2k	1.8k	1.1k	839	667	25	4.7k
Lori A. Burns	2.0k 0.9×	1.4k 0.7×	894 0.8×	1.2k 1.5×	856 1.3×	39	4.1k
Philippe Y. Ayala	2.0k 0.9×	1.1k 0.6×	1.7k 1.5×	803 1.0×	840 1.3×	21	4.7k
Roberto Peverati	2.0k 0.9×	1.6k 0.9×	1.4k 1.2×	784 0.9×	553 0.8×	43	4.2k
Jan Gerit Brandenburg	1.4k 0.6×	2.1k 1.1×	1.1k 1.0×	1.0k 1.2×	470 0.7×	46	4.4k
Benjamin J. Lynch	2.7k 1.3×	1.4k 0.8×	1.8k 1.6×	929 1.1×	691 1.0×	19	5.0k
Nathan E. Schultz	2.0k 0.9×	1.8k 1.0×	2.4k 2.1×	1.1k 1.3×	606 0.9×	27	5.5k
Eike Caldeweyher	1.1k 0.5×	1.5k 0.8×	1.2k 1.0×	606 0.7×	481 0.7×	16	3.9k
Tobias Schwabe	1.9k 0.9×	1.0k 0.6×	1.1k 1.0×	920 1.1×	608 0.9×	31	3.6k
Sebastian Spicher	930 0.4×	1.5k 0.8×	1.1k 1.0×	509 0.6×	650 1.0×	34	3.9k
Michal Pitoňák	2.5k 1.1×	1.7k 0.9×	947 0.8×	1.5k 1.8×	881 1.3×	49	4.8k

Countries citing papers authored by Narbe Mardirossian

Since Specialization

Citations

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

Fields of papers citing papers by Narbe Mardirossian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narbe Mardirossian

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

All Works

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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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