David Ferraiolo

38 total papers · 2.8k total citations
22 papers, 1.1k citations indexed

About

David Ferraiolo is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, David Ferraiolo has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 14 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in David Ferraiolo's work include Access Control and Trust (17 papers), Cryptography and Data Security (9 papers) and Security and Verification in Computing (9 papers). David Ferraiolo is often cited by papers focused on Access Control and Trust (17 papers), Cryptography and Data Security (9 papers) and Security and Verification in Computing (9 papers). David Ferraiolo collaborates with scholars based in United States, Egypt and Italy. David Ferraiolo's co-authors include Richard Kühn, Ravi Sandhu, Serban I. Gavrila, Virgil D. Gligor, Ramaswamy Chandramouli, Rick Kuhn, John Barkley, Vincent C. Hu, Vijayalakshmi Atluri and D. Richard Kuhn and has published in prestigious journals such as Computer, Toxicologic Pathology and IEEE Security & Privacy.

In The Last Decade

David Ferraiolo

21 papers receiving 980 citations

Hit Papers

The NIST model for role-b... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David Ferraiolo 902 798 474 276 87 22 1.1k
Richard Kühn 572 0.6× 491 0.6× 439 0.9× 283 1.0× 63 0.7× 37 1.0k
Qihua Wang 565 0.6× 653 0.8× 416 0.9× 228 0.8× 61 0.7× 38 1.0k
Ken Moody 566 0.6× 512 0.6× 378 0.8× 460 1.7× 55 0.6× 44 1.0k
Jason Crampton 796 0.9× 745 0.9× 539 1.1× 218 0.8× 257 3.0× 70 1.2k
Ting Yu 905 1.0× 963 1.2× 588 1.2× 343 1.2× 55 0.6× 64 1.4k
Sylvia L. Osborn 857 1.0× 949 1.2× 438 0.9× 435 1.6× 63 0.7× 45 1.3k
Roshan K. Thomas 518 0.6× 548 0.7× 406 0.9× 727 2.6× 75 0.9× 49 1.2k
Günter Karjoth 413 0.5× 469 0.6× 295 0.6× 499 1.8× 67 0.8× 41 1.0k
Meiko Jensen 174 0.2× 655 0.8× 1.1k 2.3× 498 1.8× 71 0.8× 42 1.3k
Nathalie Baracaldo 136 0.2× 864 1.1× 194 0.4× 184 0.7× 33 0.4× 29 1.0k

Countries citing papers authored by David Ferraiolo

Since Specialization
Citations

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

Fields of papers citing papers by David Ferraiolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ferraiolo

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