Deanna D. Caputo

21 total papers · 797 total citations
11 papers, 519 citations indexed

About

Deanna D. Caputo is a scholar working on Information Systems, Sociology and Political Science and Applied Psychology. According to data from OpenAlex, Deanna D. Caputo has authored 11 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 4 papers in Sociology and Political Science and 4 papers in Applied Psychology. Recurrent topics in Deanna D. Caputo's work include Information and Cyber Security (4 papers), Optimism, Hope, and Well-being (2 papers) and User Authentication and Security Systems (2 papers). Deanna D. Caputo is often cited by papers focused on Information and Cyber Security (4 papers), Optimism, Hope, and Well-being (2 papers) and User Authentication and Security Systems (2 papers). Deanna D. Caputo collaborates with scholars based in United States and United Kingdom. Deanna D. Caputo's co-authors include Shari Lawrence Pfleeger, M. Eric Johnson, David Dunning, A. J. Burns, Marcus A. Maloof, Paul Ammann, Jeff Offutt, M. Angela Sasse, Lin Deng and Jerry M. Burger and has published in prestigious journals such as Journal of Experimental Social Psychology, Computers & Security and International Journal of Stress Management.

In The Last Decade

Deanna D. Caputo

11 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Deanna D. Caputo 396 160 120 93 84 11 519
William L. Simon 362 0.9× 148 0.9× 104 0.9× 102 1.1× 55 0.7× 8 513
A. J. Burns 295 0.7× 158 1.0× 31 0.3× 94 1.0× 43 0.5× 22 463
Daniela S Oliveira 365 0.9× 157 1.0× 217 1.8× 155 1.7× 197 2.3× 32 546
Hsin-yi Sandy Tsai 279 0.7× 239 1.5× 54 0.5× 84 0.9× 88 1.0× 23 579
Eugenia Politou 232 0.6× 192 1.2× 36 0.3× 118 1.3× 199 2.4× 19 617
David Eargle 259 0.7× 181 1.1× 47 0.4× 38 0.4× 43 0.5× 20 516
Jurjen Jansen 374 0.9× 373 2.3× 35 0.3× 31 0.3× 80 1.0× 27 608
Ronald Dodge 375 0.9× 79 0.5× 91 0.8× 180 1.9× 70 0.8× 22 451
Iulia Ion 351 0.9× 281 1.8× 116 1.0× 134 1.4× 131 1.6× 18 595
Jamie Macbeth 126 0.3× 120 0.8× 49 0.4× 28 0.3× 192 2.3× 26 576

Countries citing papers authored by Deanna D. Caputo

Since Specialization
Citations

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

Fields of papers citing papers by Deanna D. Caputo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deanna D. Caputo. 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 Deanna D. Caputo. The network helps show where Deanna D. Caputo may publish in the future.

Co-authorship network of co-authors of Deanna D. Caputo

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna D. Caputo. A scholar is included among the top collaborators of Deanna D. Caputo 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 Deanna D. Caputo. Deanna D. Caputo 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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