Jason M. Munro

49 total papers · 900 total citations
18 papers, 553 citations indexed

About

Jason M. Munro is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jason M. Munro has authored 18 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jason M. Munro's work include Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (6 papers) and Electronic and Structural Properties of Oxides (4 papers). Jason M. Munro is often cited by papers focused on Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (6 papers) and Electronic and Structural Properties of Oxides (4 papers). Jason M. Munro collaborates with scholars based in United States, United Kingdom and Japan. Jason M. Munro's co-authors include Kristin A. Persson, Matthew K. Horton, Shyam Dwaraknath, Ismaïla Dabo, Ryan Kingsbury, Michael Y. Toriyama, Junsoo Park, Alex M. Ganose, Shashwat Anand and Madison K. Brod and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and Advanced Functional Materials.

In The Last Decade

Jason M. Munro

18 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Jason M. Munro	331	232	86	81	50	18	553
H. Koelmans	281 0.8×	295 1.3×	122 1.4×	108 1.3×	35 0.7×	22	577
Madhusudan Tyagi	346 1.0×	301 1.3×	82 1.0×	80 1.0×	47 0.9×	15	589
Éric Sandré	501 1.5×	141 0.6×	83 1.0×	110 1.4×	33 0.7×	24	662
Bachir Aoun	271 0.8×	245 1.1×	55 0.6×	104 1.3×	67 1.3×	21	668
Shigeru Umemura	335 1.0×	215 0.9×	113 1.3×	115 1.4×	76 1.5×	18	603
J. Kalnajs	429 1.3×	191 0.8×	168 2.0×	87 1.1×	38 0.8×	15	650
FK McTaggart	304 0.9×	213 0.9×	60 0.7×	104 1.3×	64 1.3×	23	588
Martin Callsen	346 1.0×	276 1.2×	137 1.6×	86 1.1×	27 0.5×	16	551
Rajiv Misra	328 1.0×	246 1.1×	105 1.2×	125 1.5×	32 0.6×	23	587
J. M. Thomas	280 0.8×	131 0.6×	85 1.0×	53 0.7×	36 0.7×	14	504

Countries citing papers authored by Jason M. Munro

Since Specialization

Citations

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

Fields of papers citing papers by Jason M. Munro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Munro. 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 Jason M. Munro. The network helps show where Jason M. Munro may publish in the future.

Co-authorship network of co-authors of Jason M. Munro

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Munro. A scholar is included among the top collaborators of Jason M. Munro 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 Jason M. Munro. Jason M. Munro 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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