Vanessa J. Murray

56 total papers · 1.3k total citations
40 papers, 891 citations indexed

About

Vanessa J. Murray is a scholar working on Materials Chemistry, Applied Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Vanessa J. Murray has authored 40 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 17 papers in Applied Mathematics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Vanessa J. Murray's work include Gas Dynamics and Kinetic Theory (17 papers), Diamond and Carbon-based Materials Research (15 papers) and Catalytic Processes in Materials Science (9 papers). Vanessa J. Murray is often cited by papers focused on Gas Dynamics and Kinetic Theory (17 papers), Diamond and Carbon-based Materials Research (15 papers) and Catalytic Processes in Materials Science (9 papers). Vanessa J. Murray collaborates with scholars based in United States, Italy and China. Vanessa J. Murray's co-authors include Timothy K. Minton, Brooks C. Marshall, Teresa Iacono, Min Qian, Savio J. Poovathingal, Thomas E. Schwartzentruber, Wei Wei, Eric J. Smoll, Graham V. Candler and Eitan Grossman and has published in prestigious journals such as The Journal of Chemical Physics, Carbon and The Journal of Physical Chemistry C.

In The Last Decade

Vanessa J. Murray

38 papers receiving 865 citations

Author Peers

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

Author						Papers	Cites
Vanessa J. Murray	469	277	126	121	120	40	891
L. L. Levenson	355 0.8×	35 0.1×	41 0.3×	223 1.8×	150 1.3×	58	783
Melvyn C. Branch	359 0.8×	30 0.1×	214 1.7×	101 0.8×	97 0.8×	59	1.0k
B.L. Halpern	399 0.9×	44 0.2×	45 0.4×	370 3.1×	396 3.3×	50	960
Alexander S. Sharipov	363 0.8×	39 0.1×	207 1.6×	174 1.4×	264 2.2×	66	924
Davide Alfano	346 0.7×	62 0.2×	77 0.6×	61 0.5×	15 0.1×	28	787
K. Mergia	546 1.2×	19 0.1×	119 0.9×	108 0.9×	76 0.6×	64	942
J. M. Badie	390 0.8×	79 0.3×	80 0.6×	197 1.6×	78 0.7×	62	773
R. H. Jones	456 1.0×	31 0.1×	57 0.5×	195 1.6×	210 1.8×	19	934
W. L. Winterbottom	483 1.0×	41 0.1×	65 0.5×	202 1.7×	198 1.6×	22	866
J. R. Olson	409 0.9×	11 0.0×	189 1.5×	92 0.8×	96 0.8×	40	922

Countries citing papers authored by Vanessa J. Murray

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa J. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa J. Murray. 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 Vanessa J. Murray. The network helps show where Vanessa J. Murray may publish in the future.

Co-authorship network of co-authors of Vanessa J. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa J. Murray. A scholar is included among the top collaborators of Vanessa J. Murray 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 Vanessa J. Murray. Vanessa J. Murray 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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