D. Sculley

20 papers and 1.1k indexed citations i.

About

D. Sculley is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, D. Sculley has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in D. Sculley’s work include Spam and Phishing Detection (5 papers), Machine Learning and Data Classification (3 papers) and Text and Document Classification Technologies (3 papers). D. Sculley is often cited by papers focused on Spam and Phishing Detection (5 papers), Machine Learning and Data Classification (3 papers) and Text and Document Classification Technologies (3 papers). D. Sculley collaborates with scholars based in United States, United Kingdom and Iran. D. Sculley's co-authors include Gabriel Wachman, Gary D. Holt, Daniel Golovin, Michael Young, Dietmar Ebner, Eugene Davydov, Todd Phillips, David Belanger, Jennifer N. Wei and Ryan P. Adams and has published in prestigious journals such as Nature Biotechnology, The American Journal of Human Genetics and ACS Central Science.

In The Last Decade

Co-authorship network of co-authors of D. Sculley i

Fields of papers citing papers by D. Sculley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by D. Sculley

Since Specialization
Citations

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

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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