Matthew Pevarnik

22 total papers · 565 total citations
11 papers, 487 citations indexed

About

Matthew Pevarnik is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Matthew Pevarnik has authored 11 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 3 papers in Molecular Biology. Recurrent topics in Matthew Pevarnik's work include Nanopore and Nanochannel Transport Studies (10 papers), Fuel Cells and Related Materials (4 papers) and Electrostatics and Colloid Interactions (3 papers). Matthew Pevarnik is often cited by papers focused on Nanopore and Nanochannel Transport Studies (10 papers), Fuel Cells and Related Materials (4 papers) and Electrostatics and Colloid Interactions (3 papers). Matthew Pevarnik collaborates with scholars based in United States, Germany and Ireland. Matthew Pevarnik's co-authors include Zuzanna S. Siwy, Ken Healy, Alan P. Morrison, Sonia E. Létant, Matthew Davenport, Ivan Vlassiouk, Jan‐Frederik Pietschmann, Nick E. Teslich, Stefano Cabrini and María Eugenia Toimil‐Molares and has published in prestigious journals such as ACS Nano, Analytical Chemistry and The Journal of Physical Chemistry C.

In The Last Decade

Matthew Pevarnik

11 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Matthew Pevarnik	423	196	105	79	52	11	487
Brian Thomas	474 1.1×	186 0.9×	92 0.9×	135 1.7×	121 2.3×	10	502
V. Dimitrov	456 1.1×	191 1.0×	88 0.8×	127 1.6×	132 2.5×	12	489
Sukru Yemenicioglu	363 0.9×	176 0.9×	45 0.4×	94 1.2×	105 2.0×	12	405
Rena Akahori	390 0.9×	140 0.7×	29 0.3×	127 1.6×	128 2.5×	18	423
Kyeong‐Beom Park	407 1.0×	157 0.8×	37 0.4×	116 1.5×	121 2.3×	7	437
Pavlo Takhistov	304 0.7×	222 1.1×	79 0.8×	68 0.9×	14 0.3×	9	440
Matthew Puster	372 0.9×	164 0.8×	34 0.3×	89 1.1×	112 2.2×	7	416
Pradeep Waduge	397 0.9×	146 0.7×	42 0.4×	117 1.5×	112 2.2×	9	535
Karolis Misiunas	372 0.9×	72 0.4×	69 0.7×	44 0.6×	183 3.5×	11	440
Ken Shepard	221 0.5×	258 1.3×	21 0.2×	55 0.7×	62 1.2×	11	432

Countries citing papers authored by Matthew Pevarnik

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Pevarnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Pevarnik

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Pevarnik. A scholar is included among the top collaborators of Matthew Pevarnik 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 Matthew Pevarnik. Matthew Pevarnik 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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