D. Sculley

61 total papers · 8.0k total citations
12 papers, 762 citations indexed

About

D. Sculley is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, D. Sculley has authored 12 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in D. Sculley’s work include Advanced Text Analysis Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Topic Modeling (2 papers). D. Sculley is often cited by papers focused on Advanced Text Analysis Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Topic Modeling (2 papers). D. Sculley collaborates with scholars based in United States, United Kingdom and Iran. D. Sculley's co-authors include Dietmar Ebner, David Belanger, Michael Young, Todd Phillips, Daniel Golovin, Gary D. Holt, Eugene Davydov, Ryan P. Adams, Jennifer N. Wei and Lucy J. Colwell and has published in prestigious journals such as Nature Biotechnology, ACS Central Science and Literary and Linguistic Computing.

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Sculley. A scholar is included among the top collaborators of D. Sculley 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 D. Sculley. D. Sculley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

D. Sculley

12 papers receiving 696 citations

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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