John W. Villanova

43 total papers · 444 total citations
17 papers, 300 citations indexed

About

John W. Villanova is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, John W. Villanova has authored 17 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Condensed Matter Physics. Recurrent topics in John W. Villanova's work include 2D Materials and Applications (8 papers), Advanced Condensed Matter Physics (6 papers) and Topological Materials and Phenomena (5 papers). John W. Villanova is often cited by papers focused on 2D Materials and Applications (8 papers), Advanced Condensed Matter Physics (6 papers) and Topological Materials and Phenomena (5 papers). John W. Villanova collaborates with scholars based in United States, Germany and China. John W. Villanova's co-authors include Salvador Barraza‐Lopez, Kai Chang, S. Parkin, Benjamin M. Fregoso, Kyungwha Park, Pradeep Kumar, Yichul Choi, Edwin Barnes, Jing‐Rong Ji and Satoshi Okamoto and has published in prestigious journals such as Advanced Materials, Nano Letters and Reviews of Modern Physics.

In The Last Decade

John W. Villanova

16 papers receiving 294 citations

Author Peers

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

Author Last Decade Papers Cites
John W. Villanova 251 116 103 52 39 17 300
Vincent Michaud-Rioux 279 1.1× 137 1.2× 145 1.4× 37 0.7× 31 0.8× 14 359
Indrajit Maity 331 1.3× 153 1.3× 93 0.9× 27 0.5× 17 0.4× 14 365
D. J. P. de Sousa 218 0.9× 98 0.8× 166 1.6× 47 0.9× 28 0.7× 21 294
Ha‐Jun Sung 241 1.0× 118 1.0× 85 0.8× 27 0.5× 19 0.5× 17 285
Igor V. Korobeinikov 264 1.1× 124 1.1× 90 0.9× 84 1.6× 37 0.9× 21 316
Carmen González‐Orellana 181 0.7× 69 0.6× 120 1.2× 71 1.4× 89 2.3× 11 296
Bruno Focassio 208 0.8× 61 0.5× 113 1.1× 23 0.4× 29 0.7× 18 291
Jamie Wilt 219 0.9× 193 1.7× 75 0.7× 91 1.8× 78 2.0× 16 344
Tarun Patel 331 1.3× 179 1.5× 104 1.0× 88 1.7× 39 1.0× 14 365
H. Priller 277 1.1× 189 1.6× 90 0.9× 97 1.9× 40 1.0× 14 331

Countries citing papers authored by John W. Villanova

Since Specialization
Citations

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

Fields of papers citing papers by John W. Villanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Villanova. 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 John W. Villanova. The network helps show where John W. Villanova may publish in the future.

Co-authorship network of co-authors of John W. Villanova

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Villanova. A scholar is included among the top collaborators of John W. Villanova 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 John W. Villanova. John W. Villanova 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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