A. S. De Vany

60 total papers · 1.3k total citations
39 papers, 895 citations indexed

About

A. S. De Vany is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Economics and Econometrics. According to data from OpenAlex, A. S. De Vany has authored 39 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 8 papers in Economics and Econometrics. Recurrent topics in A. S. De Vany's work include Optical measurement and interference techniques (8 papers), Surface Roughness and Optical Measurements (8 papers) and Advanced Measurement and Metrology Techniques (6 papers). A. S. De Vany is often cited by papers focused on Optical measurement and interference techniques (8 papers), Surface Roughness and Optical Measurements (8 papers) and Advanced Measurement and Metrology Techniques (6 papers). A. S. De Vany collaborates with scholars based in United States, Canada and Hong Kong. A. S. De Vany's co-authors include W. David Walls, Thomas R. Saving, Ross D. Eckert, Donald J. O’Hara, Robert J. Michaels, Frank Cooke, Donald R. House and Charles W. Smithson and has published in prestigious journals such as American Economic Review, Journal of Political Economy and The Review of Economics and Statistics.

In The Last Decade

A. S. De Vany

33 papers receiving 741 citations

Author Peers

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

Author Last Decade Papers Cites
A. S. De Vany 448 243 148 132 112 39 895
Peter O. Steiner 388 0.9× 170 0.7× 10 0.1× 147 1.1× 231 2.1× 44 868
John T. Coshall 135 0.3× 161 0.7× 11 0.1× 21 0.2× 43 0.4× 28 832
Paul Bergey 111 0.2× 197 0.8× 54 0.4× 27 0.2× 98 0.9× 23 755
Sonja Radas 435 1.0× 300 1.2× 54 0.4× 16 0.1× 350 3.1× 48 1.0k
Elmar G. Wolfstetter 390 0.9× 318 1.3× 11 0.1× 50 0.4× 176 1.6× 87 934
Burak Kazaz 158 0.4× 123 0.5× 12 0.1× 12 0.1× 387 3.5× 35 947
Jon Truby 233 0.5× 46 0.2× 7 0.0× 55 0.4× 89 0.8× 33 831
Anthony M. Kwasnica 260 0.6× 321 1.3× 7 0.0× 39 0.3× 102 0.9× 31 805
Julie Holland Mortimer 269 0.6× 394 1.6× 60 0.4× 4 0.0× 225 2.0× 24 720
Jeremy T. Fox 530 1.2× 329 1.4× 2 0.0× 67 0.5× 108 1.0× 28 932

Countries citing papers authored by A. S. De Vany

Since Specialization
Citations

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

Fields of papers citing papers by A. S. De Vany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. De Vany. 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 A. S. De Vany. The network helps show where A. S. De Vany may publish in the future.

Co-authorship network of co-authors of A. S. De Vany

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. De Vany. A scholar is included among the top collaborators of A. S. De Vany 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 A. S. De Vany. A. S. De Vany 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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